About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . Innovators Wanted - Join Our Extraordinary Advanced Development Talent Community! At SharkNinja, we are always seeking world-class engineering talent eager to push the boundaries of product design innovation. Whether you are a technical leader, a complex problem solver, or an engineer driven by curiosity and hands-on experimentation, we want to hear from you! Our Advanced Development (Product Design Engineering & Front-End Innovation) teams thrive on tinkering-whether it's conceptualizing, prototyping, or refining the next generation of consumer products. We embrace engineering rigor, rapid iteration, and cross-disciplinary collaboration to transform ambitious ideas into manufacturable, high-performance solutions. If you are passionate about hands-on engineering, systems thinking, and delivering best-in-class solutions, join us. Think beyond conventional boundaries, embrace technical challenges, and be part of a team that turns visionary concepts into reality. What You'll Do Invent & Innovate: Develop and prototype new product concepts that redefine consumer expectations. Collaborate & Build: Work cross-functionally with engineering, design, user experience, and manufacturing teams to bring ideas to life. Create Scalable Solutions: Design new technologies that transition seamlessly from early-stage development to full-scale production. Shape the Future: Influence SharkNinja's product roadmap with disruptive, consumer-driven ideas. Support the communication of ideas quickly and be able to drive a team effectively using a combination of sketching, CAD layouts, 3D models and working prototypes to evaluate potential solutions. Confidence in managing external providers of technology solution to reduce our time to market. Understand the importance of clear product definition during the design process but be able to appreciate the spark of inspiration. Be naturally curious and relentlessly driven to find better solutions to everyday problems. What You'll Bring We are open to talent at all levels! Whether you have a few years of experience or a seasoned career in Advanced Development/Product Design Engineering, what matters most is your ability to innovate, collaborate, and execute. Ideal candidates will have: A passion for problem-solving, creative thinking, and technical excellence. The ideal candidate will have a degree-level technical qualification, ideally in Industrial Design, Mechanical Engineering or Product Design Engineering, with significant product design content. Extensive experience in an Industrial design/product design/innovation environment A track record of concept development, prototyping, and transitioning projects into production. Strong collaboration skills and the ability to work in a fast-paced, entrepreneurial environment. Proven track record of taking consumer concept ideas through selection process and into tooling and mass production. Strong leadership experience required with excellent communication skills and an inspirational leadership style. Extensive experience required in areas of High-Volume Plastic Injection Molding, Sheet Metal, Die Casting etc. About the Team: Endless Innovation: We don't just create products; we revolutionize categories. Fast-Paced & Impactful: Work on meaningful projects with real-world impact. Growth Opportunities: Whether you're early in your career or a seasoned professional, we invest in talent development. A Culture of Curiosity: We encourage bold thinking and taking smart risks. If you're excited about the future of Advanced Development and want to be part of a company that never stops innovating, let's connect! SharkNinja is always on the lookout for top-tier AD talent to help shape the future. Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice . For candidates based in China, please refer to this Candidate Privacy Notice . For candidates based in Vietnam, please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
Jan 13, 2026
Full time
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . Innovators Wanted - Join Our Extraordinary Advanced Development Talent Community! At SharkNinja, we are always seeking world-class engineering talent eager to push the boundaries of product design innovation. Whether you are a technical leader, a complex problem solver, or an engineer driven by curiosity and hands-on experimentation, we want to hear from you! Our Advanced Development (Product Design Engineering & Front-End Innovation) teams thrive on tinkering-whether it's conceptualizing, prototyping, or refining the next generation of consumer products. We embrace engineering rigor, rapid iteration, and cross-disciplinary collaboration to transform ambitious ideas into manufacturable, high-performance solutions. If you are passionate about hands-on engineering, systems thinking, and delivering best-in-class solutions, join us. Think beyond conventional boundaries, embrace technical challenges, and be part of a team that turns visionary concepts into reality. What You'll Do Invent & Innovate: Develop and prototype new product concepts that redefine consumer expectations. Collaborate & Build: Work cross-functionally with engineering, design, user experience, and manufacturing teams to bring ideas to life. Create Scalable Solutions: Design new technologies that transition seamlessly from early-stage development to full-scale production. Shape the Future: Influence SharkNinja's product roadmap with disruptive, consumer-driven ideas. Support the communication of ideas quickly and be able to drive a team effectively using a combination of sketching, CAD layouts, 3D models and working prototypes to evaluate potential solutions. Confidence in managing external providers of technology solution to reduce our time to market. Understand the importance of clear product definition during the design process but be able to appreciate the spark of inspiration. Be naturally curious and relentlessly driven to find better solutions to everyday problems. What You'll Bring We are open to talent at all levels! Whether you have a few years of experience or a seasoned career in Advanced Development/Product Design Engineering, what matters most is your ability to innovate, collaborate, and execute. Ideal candidates will have: A passion for problem-solving, creative thinking, and technical excellence. The ideal candidate will have a degree-level technical qualification, ideally in Industrial Design, Mechanical Engineering or Product Design Engineering, with significant product design content. Extensive experience in an Industrial design/product design/innovation environment A track record of concept development, prototyping, and transitioning projects into production. Strong collaboration skills and the ability to work in a fast-paced, entrepreneurial environment. Proven track record of taking consumer concept ideas through selection process and into tooling and mass production. Strong leadership experience required with excellent communication skills and an inspirational leadership style. Extensive experience required in areas of High-Volume Plastic Injection Molding, Sheet Metal, Die Casting etc. About the Team: Endless Innovation: We don't just create products; we revolutionize categories. Fast-Paced & Impactful: Work on meaningful projects with real-world impact. Growth Opportunities: Whether you're early in your career or a seasoned professional, we invest in talent development. A Culture of Curiosity: We encourage bold thinking and taking smart risks. If you're excited about the future of Advanced Development and want to be part of a company that never stops innovating, let's connect! SharkNinja is always on the lookout for top-tier AD talent to help shape the future. Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions, please refer to this Candidate Privacy Notice . For candidates based in China, please refer to this Candidate Privacy Notice . For candidates based in Vietnam, please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
Sanderson Government & Defence
Hemel Hempstead, Hertfordshire
Security Engineer (Splunk/Elastic) - MOD DV Cleared Location: Hemel Hempstead Type: 4-5 days on-site IR Status: Inside Rate: £500 - £750 Clearance: Must have active MOD DV Contingency: Must be a sole British National Length: Initial 6 months Role Overview As a Security Engineer, you will be leading the design, documentation and installation of security monitoring tools/platforms to provide data to the Security Operational Centre (SOC) for analysis. Your role will be pivotal in ensuring that they have the correct tooling operating to ensure that they can provide protection and monitoring of their clients. You will collaborate with cross-functional teams to assess risks, design controls, and define testing requirements. Key Responsibilities/Technical Skills: Splunk (Enterprise & ES): Advanced SPL for correlation searches, data models (CIM), notable events, risk-based alerting (RBA), and accelerated data sets. Proficient in TA/TAF configuration, props/transforms, parsing/line-breaking, and source type normalisation. Experience with KV store, summary indexing, search head clustering, indexer clustering, and deployment Servers. Elastic (Elastic Stack/Elastic Security): Hands-on with index life cycle management (ILM), ingest pipelines, ECS mapping, transforms, and enrichment. Experience designing and tuning detection rules (KQL, EQL), response actions, case workflows, and Elastic Security posture features. Skilled in Fleet/Agent deployment, data stream design, and performance tuning at scale. Strong client management and relationship building experience SIEM experience with Splunk/Elastic Excellent analytical and problem-solving skills coupled with ability to assess complex situations, identify risks, and recommend effective solutions Proven hands-on experience operating Elastic Stack/Elastic Security and Splunk Enterprise/Enterprise Security in production environments. Broader experience across Automation, IaaC and technical operations and reliability is desirable If you're interested in learning more, apply or reach out to (see below) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Jan 13, 2026
Contractor
Security Engineer (Splunk/Elastic) - MOD DV Cleared Location: Hemel Hempstead Type: 4-5 days on-site IR Status: Inside Rate: £500 - £750 Clearance: Must have active MOD DV Contingency: Must be a sole British National Length: Initial 6 months Role Overview As a Security Engineer, you will be leading the design, documentation and installation of security monitoring tools/platforms to provide data to the Security Operational Centre (SOC) for analysis. Your role will be pivotal in ensuring that they have the correct tooling operating to ensure that they can provide protection and monitoring of their clients. You will collaborate with cross-functional teams to assess risks, design controls, and define testing requirements. Key Responsibilities/Technical Skills: Splunk (Enterprise & ES): Advanced SPL for correlation searches, data models (CIM), notable events, risk-based alerting (RBA), and accelerated data sets. Proficient in TA/TAF configuration, props/transforms, parsing/line-breaking, and source type normalisation. Experience with KV store, summary indexing, search head clustering, indexer clustering, and deployment Servers. Elastic (Elastic Stack/Elastic Security): Hands-on with index life cycle management (ILM), ingest pipelines, ECS mapping, transforms, and enrichment. Experience designing and tuning detection rules (KQL, EQL), response actions, case workflows, and Elastic Security posture features. Skilled in Fleet/Agent deployment, data stream design, and performance tuning at scale. Strong client management and relationship building experience SIEM experience with Splunk/Elastic Excellent analytical and problem-solving skills coupled with ability to assess complex situations, identify risks, and recommend effective solutions Proven hands-on experience operating Elastic Stack/Elastic Security and Splunk Enterprise/Enterprise Security in production environments. Broader experience across Automation, IaaC and technical operations and reliability is desirable If you're interested in learning more, apply or reach out to (see below) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Let's fix hospitality, for good. Hospitality is tough - margins are thin, waste is high, and teams are stretched. But it doesn't have to be this hard. That's why we built Nory. Our CEO, Conor, knows the pain first hand. After founding and scaling Mad Egg in Ireland, he got fed up with juggling "market leading" systems, clunky spreadsheets, and endless printouts. So he set out to build the tool he wished he'd had from day one. Nory is an all knowing restaurant management system. It blends real time data with AI predictive analytics, giving operators control of their margins. From food prep to forecasting, it's operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, healthier margins. And we're just getting started. Fresh off a Series B led by Kinnevik, we've grown to 70+ people across Ireland, the UK, and Spain - and demand is scaling faster than we ever imagined. We're now looking for a Senior AI Product Manager to join the Insights squad. In this role, you will be the primary driver of realising our Product vision of building an intelligent system that guides restaurants to be more profitable. What you'll be doing: Lead the team that acts as the "orchestra director" for intelligence across the product: aligning data, behaviour, and UX into one coherent system that gives visibility to our customers into their P&L in real time. Build core AI assistants that help drive profitability for our customers and the industry as a whole. Make it easy for other teams to build their own assistants by setting the right primitives and guardrails (think observability, memory, evals, frontend patterns, etc.). Work closely with the Head of Product and your engineering / design counterparts. Expect fast prototyping, rapid iteration, and ruthless focus on shipping useful, impactful AI assistants to production. What you'll bring: We're not looking for a 'standard' PM here. Of course, you need to have all the basics of good 'servant leadership' PM ing - from strong analytical skills to knowing how to rally a team behind a goal. Signs that you are the right person for the role: Entrepreneurial: You're a "barrel," not ammunition. You can aim yourself, spot the right problems, figure out exceptional strategies to win and move without being told what to build. You might have started a business in the past (digital or not) and you know that speed of execution + speed of iteration matters more than getting it 100% right on the first go. Technical enough: You won't thrive in this role without being fairly technical. You should understand code and be able to build small products / prototypes. Ideally, you should be comfortable with model reasoning and debugging weird AI behaviour. You should be actively building with AI, whether it's prototypes with v0 or demo features with Claude Code. Strong product instincts. You should be right often about what to build to solve a customer problem, even without data or existing benchmarks. We have a lot of product breadth, so we don't have the luxury of infinite iteration. You should be able to reason from first principles, empathise for customer needs and build the right products from the get go. Strong opinions, backed with data: We are a small, tight knit, high leverage Product Management team so we're not afraid to argue and disagree with each other. We do that with (a) low ego, (b) showing the data / the analysis and (c) a mindset of listening to understand, not listening to respond. (Bonus) Experience shipping AI end to end: Experience shipping AI features end to end and not having to explain what evals are to you is a big plus, but ultimately it's a bonus: we value your learning mindset > pedigree. If you're an exceptional builder and you're excited by what we're building, we'd love to hear from you. What you'll get in return: Competitive salary range depending on experience Meaningful equity, at Nory everyone is an owner! 35 days of paid leave per year (including bank holidays) Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK) Enhanced parental leave and baby loss support Learning & development culture - €1000 personal annual budget + quarterly book budget ️ €250 home office workspace budget Regular team offsites & socials Work from anywhere for up to 3 months of the year Offices in either London , Dublin or Spain And much more How we work Our vision is to build a better future for the restaurant industry. One where operators are in control, margins are stronger, and frontline teams can build careers they're proud of. To get there, we move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win - together. These are the values we live by: We serve up impact with a side of profit: We prioritise work that delivers real financial results for our restaurant partners. We prioritise speed of service: We move fast, unblock quickly, and deliver with urgency. We act like owners: We own problems, raise the bar, and build better every day. We win as a crew: We grow stronger through feedback, collaboration, and shared wins. We hire humans. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. What matters to us is how you think, how you work, and what you bring to the table. Please let us know if you require any adjustments so you can bring your best self to the interview process.
Jan 13, 2026
Full time
Let's fix hospitality, for good. Hospitality is tough - margins are thin, waste is high, and teams are stretched. But it doesn't have to be this hard. That's why we built Nory. Our CEO, Conor, knows the pain first hand. After founding and scaling Mad Egg in Ireland, he got fed up with juggling "market leading" systems, clunky spreadsheets, and endless printouts. So he set out to build the tool he wished he'd had from day one. Nory is an all knowing restaurant management system. It blends real time data with AI predictive analytics, giving operators control of their margins. From food prep to forecasting, it's operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, healthier margins. And we're just getting started. Fresh off a Series B led by Kinnevik, we've grown to 70+ people across Ireland, the UK, and Spain - and demand is scaling faster than we ever imagined. We're now looking for a Senior AI Product Manager to join the Insights squad. In this role, you will be the primary driver of realising our Product vision of building an intelligent system that guides restaurants to be more profitable. What you'll be doing: Lead the team that acts as the "orchestra director" for intelligence across the product: aligning data, behaviour, and UX into one coherent system that gives visibility to our customers into their P&L in real time. Build core AI assistants that help drive profitability for our customers and the industry as a whole. Make it easy for other teams to build their own assistants by setting the right primitives and guardrails (think observability, memory, evals, frontend patterns, etc.). Work closely with the Head of Product and your engineering / design counterparts. Expect fast prototyping, rapid iteration, and ruthless focus on shipping useful, impactful AI assistants to production. What you'll bring: We're not looking for a 'standard' PM here. Of course, you need to have all the basics of good 'servant leadership' PM ing - from strong analytical skills to knowing how to rally a team behind a goal. Signs that you are the right person for the role: Entrepreneurial: You're a "barrel," not ammunition. You can aim yourself, spot the right problems, figure out exceptional strategies to win and move without being told what to build. You might have started a business in the past (digital or not) and you know that speed of execution + speed of iteration matters more than getting it 100% right on the first go. Technical enough: You won't thrive in this role without being fairly technical. You should understand code and be able to build small products / prototypes. Ideally, you should be comfortable with model reasoning and debugging weird AI behaviour. You should be actively building with AI, whether it's prototypes with v0 or demo features with Claude Code. Strong product instincts. You should be right often about what to build to solve a customer problem, even without data or existing benchmarks. We have a lot of product breadth, so we don't have the luxury of infinite iteration. You should be able to reason from first principles, empathise for customer needs and build the right products from the get go. Strong opinions, backed with data: We are a small, tight knit, high leverage Product Management team so we're not afraid to argue and disagree with each other. We do that with (a) low ego, (b) showing the data / the analysis and (c) a mindset of listening to understand, not listening to respond. (Bonus) Experience shipping AI end to end: Experience shipping AI features end to end and not having to explain what evals are to you is a big plus, but ultimately it's a bonus: we value your learning mindset > pedigree. If you're an exceptional builder and you're excited by what we're building, we'd love to hear from you. What you'll get in return: Competitive salary range depending on experience Meaningful equity, at Nory everyone is an owner! 35 days of paid leave per year (including bank holidays) Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK) Enhanced parental leave and baby loss support Learning & development culture - €1000 personal annual budget + quarterly book budget ️ €250 home office workspace budget Regular team offsites & socials Work from anywhere for up to 3 months of the year Offices in either London , Dublin or Spain And much more How we work Our vision is to build a better future for the restaurant industry. One where operators are in control, margins are stronger, and frontline teams can build careers they're proud of. To get there, we move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win - together. These are the values we live by: We serve up impact with a side of profit: We prioritise work that delivers real financial results for our restaurant partners. We prioritise speed of service: We move fast, unblock quickly, and deliver with urgency. We act like owners: We own problems, raise the bar, and build better every day. We win as a crew: We grow stronger through feedback, collaboration, and shared wins. We hire humans. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. What matters to us is how you think, how you work, and what you bring to the table. Please let us know if you require any adjustments so you can bring your best self to the interview process.
Introduction Saab in UK is growing rapidly, with over 600 colleagues across eight sites. We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training. Joining Saab in UK means contributing to the security and resilience of society while building a career with real scope for personal and professional growth. The Role: This role will be part of our BlueBear Business in Bedfordshire. This Deputy Head of Electronics position will assist in leading the electronics design and prototyping department, guiding overall design and a supporting management of a team of electronic engineers. This role is suited to a person with extensive experience in detailed electronic design, strong leadership capability, and extensive knowledge of safety- and mission-critical development environments, including DO-254 compliance and controlled design documentation processes. Key Responsibilities: Leadership & Management: Guide, mentor, and develop a high-performing team of electronic engineers (8-10 staff) across multiple programmes. Define team objectives and performance goals aligned with business needs. Foster a culture focused on engineering excellence, traceability, accountability, and continuous improvement. Technical Leadership & Design Execution: Own and drive the electronic hardware designs for specific projects, implementing full design lifecycle from requirements capture through to production release. Lead detailed design activities for digital, mixed-signal, Application Processor and FPGA-based, and high-reliability systems. Provide expert review and approval of schematics, PCB layouts, component selection, and detailed design documentation. Design Standardisation & Quality Governance: Act as one of the organisational Subject Matter Expert for DO-254 processes, standards, and industry best practice. Maintain design assurance processes and verification traceability across safety-critical electronics developments. Oversee configuration control, Verification and Validation activities Project & Stakeholder Coordination: Work cross-functionally with Systems Engineering, Software, Mechanical, Test, and Programme Management teams to ensure aligned delivery. Support bid development, cost estimation, design planning, and reporting to internal and customer stakeholders. Ensure workloads, priorities, project risks, and dependencies are managed effectively to meet schedule commitments. Qualifications and Skills: Essential: Strong project and programme management experience. 10-12 years experience in electronics hardware design across digital and mixed signal systems Experience applying and designing to DO-254 At least 3 years of extensive wiring and PCB rework experience. Significant expertise in detailed electronics hardware design. Detailed understanding of the electronics manufacturing processes Excellent attention to detail. Process driven, ability to read legislation and implement processes to ensure adherence. Experience managing 5+ complex projects/programmes at a time with many stakeholders. Excellent time management/prioritisation skills Highly organised and able to work multi projects in fast paced environment Adaptable personality with professional approach Leading a team Good verbal and written communication skills Excellent organisation skills Conscientious, with a proactive work ethic Desirable: Experience working on many projects at once and managing your time effectively. Experience of interfacing with subcontractors Experience writing VHDL or Verilog Experience writing embedded C and Python Subject to UK MoD security clearance vetting to a minimum SC level As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Jan 13, 2026
Full time
Introduction Saab in UK is growing rapidly, with over 600 colleagues across eight sites. We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training. Joining Saab in UK means contributing to the security and resilience of society while building a career with real scope for personal and professional growth. The Role: This role will be part of our BlueBear Business in Bedfordshire. This Deputy Head of Electronics position will assist in leading the electronics design and prototyping department, guiding overall design and a supporting management of a team of electronic engineers. This role is suited to a person with extensive experience in detailed electronic design, strong leadership capability, and extensive knowledge of safety- and mission-critical development environments, including DO-254 compliance and controlled design documentation processes. Key Responsibilities: Leadership & Management: Guide, mentor, and develop a high-performing team of electronic engineers (8-10 staff) across multiple programmes. Define team objectives and performance goals aligned with business needs. Foster a culture focused on engineering excellence, traceability, accountability, and continuous improvement. Technical Leadership & Design Execution: Own and drive the electronic hardware designs for specific projects, implementing full design lifecycle from requirements capture through to production release. Lead detailed design activities for digital, mixed-signal, Application Processor and FPGA-based, and high-reliability systems. Provide expert review and approval of schematics, PCB layouts, component selection, and detailed design documentation. Design Standardisation & Quality Governance: Act as one of the organisational Subject Matter Expert for DO-254 processes, standards, and industry best practice. Maintain design assurance processes and verification traceability across safety-critical electronics developments. Oversee configuration control, Verification and Validation activities Project & Stakeholder Coordination: Work cross-functionally with Systems Engineering, Software, Mechanical, Test, and Programme Management teams to ensure aligned delivery. Support bid development, cost estimation, design planning, and reporting to internal and customer stakeholders. Ensure workloads, priorities, project risks, and dependencies are managed effectively to meet schedule commitments. Qualifications and Skills: Essential: Strong project and programme management experience. 10-12 years experience in electronics hardware design across digital and mixed signal systems Experience applying and designing to DO-254 At least 3 years of extensive wiring and PCB rework experience. Significant expertise in detailed electronics hardware design. Detailed understanding of the electronics manufacturing processes Excellent attention to detail. Process driven, ability to read legislation and implement processes to ensure adherence. Experience managing 5+ complex projects/programmes at a time with many stakeholders. Excellent time management/prioritisation skills Highly organised and able to work multi projects in fast paced environment Adaptable personality with professional approach Leading a team Good verbal and written communication skills Excellent organisation skills Conscientious, with a proactive work ethic Desirable: Experience working on many projects at once and managing your time effectively. Experience of interfacing with subcontractors Experience writing VHDL or Verilog Experience writing embedded C and Python Subject to UK MoD security clearance vetting to a minimum SC level As a National Security Vetting clearance is required for this role, applicants will be required to hold National Security Vetting clearance to SC level or have the ability to gain it. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
INTERNATIONAL RECRUITMENT & HR EXPERTS ACROSS THE PLASTICS, PACKAGING, SPECIALITY CHEMICALS, LIFE SCIENCES, BIOPOLYMER, FOOD ADDITIVES & INGREDIENTS, ENERGY AND RECYCLING SECTORS SINCE 1975. Process Improvement Engineering Specialist Based in West Midlands Job ref: JH /64609 The Company: A family owned and run company developing, manufacturing and selling industrial hose, pipes and ducting products based in the West Midlands. For the last 7 years the focus has been applying innovation and passion for quality to the current and future products required by the hose and ducting market. During this time it has grown by 250% and has a plan, supported by further investment, for growth both in the UK and International markets. All products are manufactured in the UK on 30 extruders with up to three on a line, with more being installed in 2026. The business is an engineering led company keen on new processes, capabilities and talent to help drive this innovation. Job Role: Reporting to the Technical Director the process engineer will be working on a variety of process improvements, new production lines and supporting new product trials. The focus for the company is to improve process consistency to make higher performance products and reduce scrap whilst also introducing new processes with best practises. This role will be working with an experienced quality and technical team to develop our new training program, new tooling, setting sheets and 5S. Main responsibilities: Process Control: Trial new materials and process improvements then test samples to scientifically assess benefits Reduce scrap by improving startup procedures, tooling, training Make sure startup checks and inspections are completed by setters and operators Check material processing recommendations are being followed using SOPs or setting sheets Assess extrusion stability from first principles and come up with improvements Create setting sheets for new products and trials, continuously improve them and monitor if jobs are run to them Training: Create training programmes, SOPs, checks Mentor trainees, sign them off on training levels Flow charts for processes OEE: Monitor and report on machine down time Reduce machine downtime where possible Research and Development: Research for new processes, standards or materials Research and advise on new equipment for process control and material analysis Trials: Monitor trial procedures Make sure samples are tested, catalogued and despatched to the correct recipients Teamwork: Collaborate with operations, quality, IT, maintenance, engineering and senior management to drive factory performance, new processes and improvement projects Knowledge and Expertise: Professional qualification (degree or apprenticeship) or part-qualified with relevant experience Experience in extrusion is required, training will be given in house on how the company manufacture spiral and braided hoses Good understanding of extruders, extrusion heads and polymers from first principles Knowledge of extrusion tooling design Previously written shop floor documents and procedures Mixture of theory and hands on experience Proven experience in process and continuous improvement Strong track record of control and analysis and able to provide quantifiable examples of success in process improvements. The Person: A passion for manufacturing and operational improvement Works well cross functionally with different cultures Resilience and adaptability Flexible as will be working between 2 sites in Kitts Green and Coleshill For reasons of better legibility, the simultaneous use of the language forms male, female and diverse (f/m/d) is avoided. All personal designations apply equally to all genders. For UK roles, candidates must be eligible to work and live in the United Kingdom. Proof of eligibility will be required with your application. Why select Listgrove? Five Decades of Market Intelligence Unrivalled Industry Networks Recognised International brand HR Qualified Professionals Throughout 2026 & 2027 you can meet with Listgrove at the following exhibitions: Interpack, France Innovation Plasturgie, Interplas UK, Plast Milan, Fakuma, ArabPlast, NPE 2027. Performance through People. Listgrove Limited Registered in England No: (phone number removed)
Jan 13, 2026
Full time
INTERNATIONAL RECRUITMENT & HR EXPERTS ACROSS THE PLASTICS, PACKAGING, SPECIALITY CHEMICALS, LIFE SCIENCES, BIOPOLYMER, FOOD ADDITIVES & INGREDIENTS, ENERGY AND RECYCLING SECTORS SINCE 1975. Process Improvement Engineering Specialist Based in West Midlands Job ref: JH /64609 The Company: A family owned and run company developing, manufacturing and selling industrial hose, pipes and ducting products based in the West Midlands. For the last 7 years the focus has been applying innovation and passion for quality to the current and future products required by the hose and ducting market. During this time it has grown by 250% and has a plan, supported by further investment, for growth both in the UK and International markets. All products are manufactured in the UK on 30 extruders with up to three on a line, with more being installed in 2026. The business is an engineering led company keen on new processes, capabilities and talent to help drive this innovation. Job Role: Reporting to the Technical Director the process engineer will be working on a variety of process improvements, new production lines and supporting new product trials. The focus for the company is to improve process consistency to make higher performance products and reduce scrap whilst also introducing new processes with best practises. This role will be working with an experienced quality and technical team to develop our new training program, new tooling, setting sheets and 5S. Main responsibilities: Process Control: Trial new materials and process improvements then test samples to scientifically assess benefits Reduce scrap by improving startup procedures, tooling, training Make sure startup checks and inspections are completed by setters and operators Check material processing recommendations are being followed using SOPs or setting sheets Assess extrusion stability from first principles and come up with improvements Create setting sheets for new products and trials, continuously improve them and monitor if jobs are run to them Training: Create training programmes, SOPs, checks Mentor trainees, sign them off on training levels Flow charts for processes OEE: Monitor and report on machine down time Reduce machine downtime where possible Research and Development: Research for new processes, standards or materials Research and advise on new equipment for process control and material analysis Trials: Monitor trial procedures Make sure samples are tested, catalogued and despatched to the correct recipients Teamwork: Collaborate with operations, quality, IT, maintenance, engineering and senior management to drive factory performance, new processes and improvement projects Knowledge and Expertise: Professional qualification (degree or apprenticeship) or part-qualified with relevant experience Experience in extrusion is required, training will be given in house on how the company manufacture spiral and braided hoses Good understanding of extruders, extrusion heads and polymers from first principles Knowledge of extrusion tooling design Previously written shop floor documents and procedures Mixture of theory and hands on experience Proven experience in process and continuous improvement Strong track record of control and analysis and able to provide quantifiable examples of success in process improvements. The Person: A passion for manufacturing and operational improvement Works well cross functionally with different cultures Resilience and adaptability Flexible as will be working between 2 sites in Kitts Green and Coleshill For reasons of better legibility, the simultaneous use of the language forms male, female and diverse (f/m/d) is avoided. All personal designations apply equally to all genders. For UK roles, candidates must be eligible to work and live in the United Kingdom. Proof of eligibility will be required with your application. Why select Listgrove? Five Decades of Market Intelligence Unrivalled Industry Networks Recognised International brand HR Qualified Professionals Throughout 2026 & 2027 you can meet with Listgrove at the following exhibitions: Interpack, France Innovation Plasturgie, Interplas UK, Plast Milan, Fakuma, ArabPlast, NPE 2027. Performance through People. Listgrove Limited Registered in England No: (phone number removed)
ABOUT SLEEK We define ourselves as an independent experience partner - delivering high-impact events that captivate, challenge, and inspire. Committed to innovation and creativity, Sleek forms strategic partnerships with our clients to consistently deliver exceptional results, always on time and within budget. Since we were founded in 2013 by Jennifer Davidson, Sleek has grown into a global force, delivering some of the biggest events and experiences in the world from their London headquarters. Our reputation for excellence has attracted leading global brands and earned us recognition on the 2024 UK Fast Growth Index and The Sunday Times Fast Track 100, placing us among the top 50 fastest-growing businesses in London. Sleek's people-before-profit approach sets the tone for our culture - one that celebrates individuality and drives excellence from the inside out. This ethos has been recognised with multiple industry accolades, affirming their belief that purposeful leadership and commercial success go hand in hand. Our growth has, and always will be, achieved without compromising our people or performance. OUR CULTURE Communication is at the heart of our agency and that's especially true when it comes to our team. We are proud to attract and retain the best people and we know it's critical that individuals feel both challenged and supported with opportunities to progress. Sleek believes in a collective effort when it comes to decision making - we value everyone's contribution and empower our colleagues to help shape us. No two days are the same and our client base and growth pattern means it can be intense at times. This is when the agility of the Sleek team really comes into its own. We know that the instant you move out of your comfort zone, it means you are growing and that's a genuine opportunity to thrive. We work hard to ensure we are supporting one another to keep pushing boundaries. As individuals we are self-motivated, have high standards and are always willing to learn, regardless of seniority. We know how vital it is for team members to know their value to the business and feel rewarded for their contribution. What you put in, we will always give back. OURWORK PLACE We spend a large proportion of our lives at work and it should be a place that makes you feel good. Sleek is based in a modern office a short walk from Wimbledon where we share everything from playlists to weekend baking efforts. We genuinely have a lot of fun together. We regularly socialise after work including our Thursday early finish office drinks. In addition, Jen absolutely loves arranging social events for the team including; weekends mini breaks, team away days, Christmas wreath making and more. You'll find Sleek to be a welcoming place for everyone, from those just starting out in their careers to well-seasoned pros. Whether you are looking to grow and develop, or find work/life balance being a working parent. We will always support you as an individual within an environment where you can realise your true potential. Our learning and development initiatives are structured, meaning what we say when we invest in you. We anticipate and welcome candidates from all backgrounds and needs. If any reasonable adjustments would make the interview process more comfortable for you, just let us know. THE ROLE As a Senior Creative 3D Designer, you will be driven by creative storytelling and concepting at your core. Reporting to the Creative Director, you'll work with a solid level of autonomy and lead the creative visualisation of event environments that bring brands and their messages to life. Working closely with production (both project and technical), you'll transform concepts into compelling 3D worlds that balance creativity with feasibility and experimentally with commerciality. Dynamic in collaboration with your colleagues and clients, agile in responding to feedback, and efficient in defining design solutions. This role is about exploring the wide narrative parameters of what an experience can become in space, beyond materiality into the sensory and immersive qualities. In this role, your work will inspire our clients and production teams, through your expertise in selling and realising the dream alongside enabling the event objectives, making Sleek the no.1 live experience partner for our clients. RESPONSIBILITIES ConceptExperimentation: Interpret briefs to develop standout experiential spatial concepts and prototypes. Starting with mood and description, moving to low-res modelling, sketches and AI-generated studies. Design Development: Mapping the visitor journey on plan and 3D modelling the space. Considering sustainability goals through materiality and modularity. Expressing brand look and feel through furniture and dressing spaces as well as lighting, theatre and engagement. 3D Visualisation: Producing high-quality 3D renders, visuals, and walkthroughs that bring the experience to life and working with live rendering platforms (TwinMotion/ Unreal for example) when necessary for agility and flexibility. Collaboration: Working closely with the creative and production teams (both project and technical) to ensure designs are practical, cost-effective, and executable. CAD: Producing any required GA (General Arrangement) drawing package to support render package in briefing accurate production information for costing. Design Presentation: Presenting design concepts with confidence, clearly communicating design rationale to both clients and internal stakeholders, welcoming feedback. Quality Control: Oversee visual consistency, accuracy, and creative excellence across all 3D outputs. Sustainability: Champion the use of sustainable materials and design practices. Design Leadership: Mentor colleagues, set design standards, and ensure output meets a high level of storytelling throughout our work. Trend Awareness: Stay ahead of design and technology trends in experiential, exhibition, and spatial design, integrating fresh ideas into our work. Proven experience as a 3D Designer within an events, exhibitions, or experiential agency Strong portfolio showcasing experience environments (can include plenary, staging, exhibition, hospitality, roadshow, brand activation, pop up retail etc) and other 3D experiential work Confident presenter with strong communication skills, able to inspire clients and colleagues alike Excellent spatial design and storytelling skills, with a keen eye for detail, sensory experience, and materiality An understanding of the experience journey through our Attract, Immerse, Engage strategy, able to put yourself in the audience's shoes and feel the experience that is being designed. Ability to work independently and make creative decisions, and collaboratively with creative and project leads Expert knowledge of 3D design software (e.g. Rhino, 3ds Max, Cinema 4D, SketchUp, Blender, or similar), plus (live) rendering engines (Unreal, Twinmotion, V Ray, Corona, KeyShot) Proficiency in Adobe Creative Suite (especially Photoshop) Proficiency in CAD (ideally AutoCAD) Experience collaborating with art directors and 2D Designers Ability to manage multiple projects simultaneously and thrive under tight deadlines Knowledge of production processes, build materials, and event logistics Understanding of working within costing and budget parameters ABOUT YOU Enthusiasm towards the role, thecompanyand your colleagues Embracing curiosity at the heart of your creative process A true team player who works collaboratively and provides excellent support Actively seeks and welcomes feedback Leads by example with the ability to inspire and motivate others - particularly when inevitable challenges arise Able to work under pressure and knowing when to ask for support Passionate about supporting your peers to be better Embodies the values of the Sleek team Operates to an exceptional level of delivery across all phases of a project Balances an excellent eye for detail whilst considering the overall project objectives An ability to build long term, mutually beneficial relationships across wider team and network Our benefits were created by Team Sleek to ensure they appeal to a wide range of individuals. Here is a taster of the types of things they include: 27 days holiday (excl. UK public holidays). Additional days holiday for each year of service (capped at 3) Week-day birthdays off Pay Day early finish Friday (15:00) Standard Pension Plan Fitness membership Company discounts and perks Company social events inc. weekly office drinks Annual Company Offsite Additional Benefits after 1 years' service including Private Health Care
Jan 13, 2026
Full time
ABOUT SLEEK We define ourselves as an independent experience partner - delivering high-impact events that captivate, challenge, and inspire. Committed to innovation and creativity, Sleek forms strategic partnerships with our clients to consistently deliver exceptional results, always on time and within budget. Since we were founded in 2013 by Jennifer Davidson, Sleek has grown into a global force, delivering some of the biggest events and experiences in the world from their London headquarters. Our reputation for excellence has attracted leading global brands and earned us recognition on the 2024 UK Fast Growth Index and The Sunday Times Fast Track 100, placing us among the top 50 fastest-growing businesses in London. Sleek's people-before-profit approach sets the tone for our culture - one that celebrates individuality and drives excellence from the inside out. This ethos has been recognised with multiple industry accolades, affirming their belief that purposeful leadership and commercial success go hand in hand. Our growth has, and always will be, achieved without compromising our people or performance. OUR CULTURE Communication is at the heart of our agency and that's especially true when it comes to our team. We are proud to attract and retain the best people and we know it's critical that individuals feel both challenged and supported with opportunities to progress. Sleek believes in a collective effort when it comes to decision making - we value everyone's contribution and empower our colleagues to help shape us. No two days are the same and our client base and growth pattern means it can be intense at times. This is when the agility of the Sleek team really comes into its own. We know that the instant you move out of your comfort zone, it means you are growing and that's a genuine opportunity to thrive. We work hard to ensure we are supporting one another to keep pushing boundaries. As individuals we are self-motivated, have high standards and are always willing to learn, regardless of seniority. We know how vital it is for team members to know their value to the business and feel rewarded for their contribution. What you put in, we will always give back. OURWORK PLACE We spend a large proportion of our lives at work and it should be a place that makes you feel good. Sleek is based in a modern office a short walk from Wimbledon where we share everything from playlists to weekend baking efforts. We genuinely have a lot of fun together. We regularly socialise after work including our Thursday early finish office drinks. In addition, Jen absolutely loves arranging social events for the team including; weekends mini breaks, team away days, Christmas wreath making and more. You'll find Sleek to be a welcoming place for everyone, from those just starting out in their careers to well-seasoned pros. Whether you are looking to grow and develop, or find work/life balance being a working parent. We will always support you as an individual within an environment where you can realise your true potential. Our learning and development initiatives are structured, meaning what we say when we invest in you. We anticipate and welcome candidates from all backgrounds and needs. If any reasonable adjustments would make the interview process more comfortable for you, just let us know. THE ROLE As a Senior Creative 3D Designer, you will be driven by creative storytelling and concepting at your core. Reporting to the Creative Director, you'll work with a solid level of autonomy and lead the creative visualisation of event environments that bring brands and their messages to life. Working closely with production (both project and technical), you'll transform concepts into compelling 3D worlds that balance creativity with feasibility and experimentally with commerciality. Dynamic in collaboration with your colleagues and clients, agile in responding to feedback, and efficient in defining design solutions. This role is about exploring the wide narrative parameters of what an experience can become in space, beyond materiality into the sensory and immersive qualities. In this role, your work will inspire our clients and production teams, through your expertise in selling and realising the dream alongside enabling the event objectives, making Sleek the no.1 live experience partner for our clients. RESPONSIBILITIES ConceptExperimentation: Interpret briefs to develop standout experiential spatial concepts and prototypes. Starting with mood and description, moving to low-res modelling, sketches and AI-generated studies. Design Development: Mapping the visitor journey on plan and 3D modelling the space. Considering sustainability goals through materiality and modularity. Expressing brand look and feel through furniture and dressing spaces as well as lighting, theatre and engagement. 3D Visualisation: Producing high-quality 3D renders, visuals, and walkthroughs that bring the experience to life and working with live rendering platforms (TwinMotion/ Unreal for example) when necessary for agility and flexibility. Collaboration: Working closely with the creative and production teams (both project and technical) to ensure designs are practical, cost-effective, and executable. CAD: Producing any required GA (General Arrangement) drawing package to support render package in briefing accurate production information for costing. Design Presentation: Presenting design concepts with confidence, clearly communicating design rationale to both clients and internal stakeholders, welcoming feedback. Quality Control: Oversee visual consistency, accuracy, and creative excellence across all 3D outputs. Sustainability: Champion the use of sustainable materials and design practices. Design Leadership: Mentor colleagues, set design standards, and ensure output meets a high level of storytelling throughout our work. Trend Awareness: Stay ahead of design and technology trends in experiential, exhibition, and spatial design, integrating fresh ideas into our work. Proven experience as a 3D Designer within an events, exhibitions, or experiential agency Strong portfolio showcasing experience environments (can include plenary, staging, exhibition, hospitality, roadshow, brand activation, pop up retail etc) and other 3D experiential work Confident presenter with strong communication skills, able to inspire clients and colleagues alike Excellent spatial design and storytelling skills, with a keen eye for detail, sensory experience, and materiality An understanding of the experience journey through our Attract, Immerse, Engage strategy, able to put yourself in the audience's shoes and feel the experience that is being designed. Ability to work independently and make creative decisions, and collaboratively with creative and project leads Expert knowledge of 3D design software (e.g. Rhino, 3ds Max, Cinema 4D, SketchUp, Blender, or similar), plus (live) rendering engines (Unreal, Twinmotion, V Ray, Corona, KeyShot) Proficiency in Adobe Creative Suite (especially Photoshop) Proficiency in CAD (ideally AutoCAD) Experience collaborating with art directors and 2D Designers Ability to manage multiple projects simultaneously and thrive under tight deadlines Knowledge of production processes, build materials, and event logistics Understanding of working within costing and budget parameters ABOUT YOU Enthusiasm towards the role, thecompanyand your colleagues Embracing curiosity at the heart of your creative process A true team player who works collaboratively and provides excellent support Actively seeks and welcomes feedback Leads by example with the ability to inspire and motivate others - particularly when inevitable challenges arise Able to work under pressure and knowing when to ask for support Passionate about supporting your peers to be better Embodies the values of the Sleek team Operates to an exceptional level of delivery across all phases of a project Balances an excellent eye for detail whilst considering the overall project objectives An ability to build long term, mutually beneficial relationships across wider team and network Our benefits were created by Team Sleek to ensure they appeal to a wide range of individuals. Here is a taster of the types of things they include: 27 days holiday (excl. UK public holidays). Additional days holiday for each year of service (capped at 3) Week-day birthdays off Pay Day early finish Friday (15:00) Standard Pension Plan Fitness membership Company discounts and perks Company social events inc. weekly office drinks Annual Company Offsite Additional Benefits after 1 years' service including Private Health Care
Due to continued success & growth, my client is seeking an NPD Manager to join their innovation team. You will be driving & supporting the development & optimisation of the Company's product range in line with the strategy defined by leadership & the business. Client Details My client is a successful family-owned company, with turnover in the Billions that is a market leader in their industry. Their success has come from empowering a hands-on, pragmatic individuals with dynamic, solution-seeking & market-share winning organisation. They have experienced rapid growth across the last 6 years & have an ambitious investment plan across the next 2-5 years. Description Coordinate development from concept through to final launch. Be a pivotal contact between all departments to ensure a smooth launch of the new products or changes in the factory. Develop recipes and products, conducts hands-on development work from initial kitchen trials to industrial trials, including organoleptic assessment (tasting). Manage the organisation of the industrial trials, communicate the results, actions/improvements to be carried out and follow up on them. Ensure the products will be produced in the normal conditions on the current equipment, raise and communicate any concerns about possible difficulties. Provide hands-on training when running factory trials to production team. Understand and know how to use the pilot plant and development lab, suggest improvements and notify breakdowns/malfunctions. Support production team with product and process expertise when necessary. Be your customers main point of contact for development, optimisation and improvement projects from brief to launch and other queries about products, process and packaging. Be the Development technical expert to influence customer briefs by offering insight into feasibility and factory capabilities. Face to face presentation to customer either at their head office, or on site to explain our business model, development capabilities and technical advantages. Oversee costings and make price recommendation to Commercial director. Lead and coordinate all products related projects - from initial customer brief through development, trials, artwork, factory validation, and final launch. Manage end to end artwork development, internally and externally, with the right process and legal checks through to sign off either for development projects and design or legal updates. Monday - Friday - Days (Onsite) Flexibility required in this position Profile You will be an experienced New Product Development specialist from a manufacturing background, along with the following: Recognised qualification in Food Science, Food Technology or a related discipline Automated environment experience would be beneficial Food experience is a must (Dairy would be advantageous) Proven record in project management Hands on attitude & flexible approach to the job Job Offer Up to 45,000/annum 25 Days holiday + Bank Holidays Company sick pay 4 x death in service Pension 6% Full training given
Jan 13, 2026
Full time
Due to continued success & growth, my client is seeking an NPD Manager to join their innovation team. You will be driving & supporting the development & optimisation of the Company's product range in line with the strategy defined by leadership & the business. Client Details My client is a successful family-owned company, with turnover in the Billions that is a market leader in their industry. Their success has come from empowering a hands-on, pragmatic individuals with dynamic, solution-seeking & market-share winning organisation. They have experienced rapid growth across the last 6 years & have an ambitious investment plan across the next 2-5 years. Description Coordinate development from concept through to final launch. Be a pivotal contact between all departments to ensure a smooth launch of the new products or changes in the factory. Develop recipes and products, conducts hands-on development work from initial kitchen trials to industrial trials, including organoleptic assessment (tasting). Manage the organisation of the industrial trials, communicate the results, actions/improvements to be carried out and follow up on them. Ensure the products will be produced in the normal conditions on the current equipment, raise and communicate any concerns about possible difficulties. Provide hands-on training when running factory trials to production team. Understand and know how to use the pilot plant and development lab, suggest improvements and notify breakdowns/malfunctions. Support production team with product and process expertise when necessary. Be your customers main point of contact for development, optimisation and improvement projects from brief to launch and other queries about products, process and packaging. Be the Development technical expert to influence customer briefs by offering insight into feasibility and factory capabilities. Face to face presentation to customer either at their head office, or on site to explain our business model, development capabilities and technical advantages. Oversee costings and make price recommendation to Commercial director. Lead and coordinate all products related projects - from initial customer brief through development, trials, artwork, factory validation, and final launch. Manage end to end artwork development, internally and externally, with the right process and legal checks through to sign off either for development projects and design or legal updates. Monday - Friday - Days (Onsite) Flexibility required in this position Profile You will be an experienced New Product Development specialist from a manufacturing background, along with the following: Recognised qualification in Food Science, Food Technology or a related discipline Automated environment experience would be beneficial Food experience is a must (Dairy would be advantageous) Proven record in project management Hands on attitude & flexible approach to the job Job Offer Up to 45,000/annum 25 Days holiday + Bank Holidays Company sick pay 4 x death in service Pension 6% Full training given
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Location: London-based (minimum 2 days in office) Reporting to: Executive Director Term: 4 days (32 hours) per week Pay: £40,000 per annum (pro rata of £50,000 full time equivalent) Deadline: 5pm Monday February 2nd 2026 About Planet B What we do We make progressive media. From standalone documentary projects such as Overshoot (audio) and Boomerang (video), to regular podcasts like Macrodose, our productions seek to bring radical ideas, critical histories and original storytelling to wide audiences. Why we do it With the centre ground crumbling and the far right on the rise, progressive movements urgently need more effective ways to communicate their visions and ideas. Planet B aims to foster a diverse new media ecosystem, building agile products designed for an era in which audio visual and social media driven content shapes public discourse and civic debate. Over the past few years, our part time and freelance collaborators have seeded new media projects that challenge the reactionary dominance on digital platforms. We are now looking to scale up our permanent operations, with the appointment of a Head of Production as an integral first step in this next phase of Planet B's growth. How we do it Planet B is based in North London and operates with a small, collaborative core team alongside an extensive network of freelancers. Projects are developed in house through this network or via commission by external partners. We also run regular live events to expand the reach of our work. About the Job Summary The Head of Production at Planet B will be responsible for turning ambitious editorial ideas into high quality, scalable productions across audio, video and live event formats. In the short term, this is a highly hands on role: leading the development of Planet B's new in house video podcast studio, establishing production workflows and directly producing and delivering a slate of new studio based video podcasts for platforms such as YouTube, Instagram and TikTok. Working closely with the Executive Director and Head of Operations, the Head of Production will combine practical production leadership with strategic oversight - managing budgets and schedules, coordinating freelance producers, technicians and editors and ensuring projects are delivered efficiently and to a high technical standard. As Planet B scales its output and operations, this role will increasingly focus on building and managing an in house production team alongside our freelance network. This role offers a significant leadership opportunity within a fast growing organisation at the cutting edge of progressive digital media, with meaningful scope to shape Planet B's creative and editorial direction. Key Responsibilities Production Lead, Strategy and Planning Work with the Executive Director and creative collaborators to scope, prototype and refine new Planet B productions, with a primary focus on studio based video podcasts. Lead production planning from initial brief to final delivery, developing project specific production workflows and providing accurate resource projections to inform organisational strategy. Provide senior technical oversight across audio and video production, setting production standards and making key decisions on formats, workflows, equipment and delivery specifications. In the short term, take a hands on role in leading day to day production for new video podcasts and studio outputs, including directing recordings, overseeing shoots and troubleshooting technical issues as they arise. Project and Budget Management Prepare and manage project level production budgets - prepare costings, monitor spend, manage changes and report to the Head of Operations. Build and manage detailed production schedules for multiple concurrent projects, ensuring deadlines for deliverables are met without overloading the team. Oversee day to day production across development, pre production, recording/shooting and post production. Act as the senior point of technical decision making during production, able to answer high level questions from freelancers and collaborators and resolve production challenges efficiently. Lead on production risk management, including health and safety, insurance, safeguarding and compliance with legal and regulatory requirements across locations and platforms. Provide production data to support impact, outreach and funder reporting. People and Freelance Management Work with and develop Planet B's existing roster of freelance producers, technicians, editors, designers and other creatives. Work with the Executive Director to build project specific production teams, briefing and managing freelance talent to ensure clear scopes of work, timelines and deliverables. Other Responsibilities Con to ongoing conversations around company wide editorial and financial strategy, bringing a production first perspective to organisational decisions. Provide monthly updates to the Planet B board on production timelines. Support the production of live events where necessary. About You Experience with multi camera operations, including lighting, framing, exposure and basic colour. Setting up and running sound for speech (podcast mics, interfaces, monitoring). Proficiency in Adobe Creative Cloud or similar. Strong budgeting and scheduling skills, with high confidence in spreadsheets and production/project management tools. Experience managing freelance teams and suppliers, including negotiation, briefing, feedback and performance oversight. Familiarity with analytics and impact reporting for content across various digital platforms (e.g. audience metrics, engagement, outreach outcomes). Strong alignment with Planet B's mission to amplify transformative thinking and heterodox debate on themes like inequality, imperialism and climate breakdown. Demonstrable track record delivering multiple projects simultaneously, on time and on budget, ideally in a small or growing organisation. Experience designing or delivering content strategies for video first platforms such as YouTube, Instagram or TikTok. Colour correction/grading and simple motion graphics or titles (e.g. in Premiere Pro/After Effects). Join our Team If you have what it takes to be our HoP, please apply. We particularly welcome applications from people under represented in our industry.
Jan 13, 2026
Full time
Location: London-based (minimum 2 days in office) Reporting to: Executive Director Term: 4 days (32 hours) per week Pay: £40,000 per annum (pro rata of £50,000 full time equivalent) Deadline: 5pm Monday February 2nd 2026 About Planet B What we do We make progressive media. From standalone documentary projects such as Overshoot (audio) and Boomerang (video), to regular podcasts like Macrodose, our productions seek to bring radical ideas, critical histories and original storytelling to wide audiences. Why we do it With the centre ground crumbling and the far right on the rise, progressive movements urgently need more effective ways to communicate their visions and ideas. Planet B aims to foster a diverse new media ecosystem, building agile products designed for an era in which audio visual and social media driven content shapes public discourse and civic debate. Over the past few years, our part time and freelance collaborators have seeded new media projects that challenge the reactionary dominance on digital platforms. We are now looking to scale up our permanent operations, with the appointment of a Head of Production as an integral first step in this next phase of Planet B's growth. How we do it Planet B is based in North London and operates with a small, collaborative core team alongside an extensive network of freelancers. Projects are developed in house through this network or via commission by external partners. We also run regular live events to expand the reach of our work. About the Job Summary The Head of Production at Planet B will be responsible for turning ambitious editorial ideas into high quality, scalable productions across audio, video and live event formats. In the short term, this is a highly hands on role: leading the development of Planet B's new in house video podcast studio, establishing production workflows and directly producing and delivering a slate of new studio based video podcasts for platforms such as YouTube, Instagram and TikTok. Working closely with the Executive Director and Head of Operations, the Head of Production will combine practical production leadership with strategic oversight - managing budgets and schedules, coordinating freelance producers, technicians and editors and ensuring projects are delivered efficiently and to a high technical standard. As Planet B scales its output and operations, this role will increasingly focus on building and managing an in house production team alongside our freelance network. This role offers a significant leadership opportunity within a fast growing organisation at the cutting edge of progressive digital media, with meaningful scope to shape Planet B's creative and editorial direction. Key Responsibilities Production Lead, Strategy and Planning Work with the Executive Director and creative collaborators to scope, prototype and refine new Planet B productions, with a primary focus on studio based video podcasts. Lead production planning from initial brief to final delivery, developing project specific production workflows and providing accurate resource projections to inform organisational strategy. Provide senior technical oversight across audio and video production, setting production standards and making key decisions on formats, workflows, equipment and delivery specifications. In the short term, take a hands on role in leading day to day production for new video podcasts and studio outputs, including directing recordings, overseeing shoots and troubleshooting technical issues as they arise. Project and Budget Management Prepare and manage project level production budgets - prepare costings, monitor spend, manage changes and report to the Head of Operations. Build and manage detailed production schedules for multiple concurrent projects, ensuring deadlines for deliverables are met without overloading the team. Oversee day to day production across development, pre production, recording/shooting and post production. Act as the senior point of technical decision making during production, able to answer high level questions from freelancers and collaborators and resolve production challenges efficiently. Lead on production risk management, including health and safety, insurance, safeguarding and compliance with legal and regulatory requirements across locations and platforms. Provide production data to support impact, outreach and funder reporting. People and Freelance Management Work with and develop Planet B's existing roster of freelance producers, technicians, editors, designers and other creatives. Work with the Executive Director to build project specific production teams, briefing and managing freelance talent to ensure clear scopes of work, timelines and deliverables. Other Responsibilities Con to ongoing conversations around company wide editorial and financial strategy, bringing a production first perspective to organisational decisions. Provide monthly updates to the Planet B board on production timelines. Support the production of live events where necessary. About You Experience with multi camera operations, including lighting, framing, exposure and basic colour. Setting up and running sound for speech (podcast mics, interfaces, monitoring). Proficiency in Adobe Creative Cloud or similar. Strong budgeting and scheduling skills, with high confidence in spreadsheets and production/project management tools. Experience managing freelance teams and suppliers, including negotiation, briefing, feedback and performance oversight. Familiarity with analytics and impact reporting for content across various digital platforms (e.g. audience metrics, engagement, outreach outcomes). Strong alignment with Planet B's mission to amplify transformative thinking and heterodox debate on themes like inequality, imperialism and climate breakdown. Demonstrable track record delivering multiple projects simultaneously, on time and on budget, ideally in a small or growing organisation. Experience designing or delivering content strategies for video first platforms such as YouTube, Instagram or TikTok. Colour correction/grading and simple motion graphics or titles (e.g. in Premiere Pro/After Effects). Join our Team If you have what it takes to be our HoP, please apply. We particularly welcome applications from people under represented in our industry.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 13, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
