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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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.
30 hours per week including some weekend working Great choice, outstanding value, market leading customer service. That's Topps Tiles. But there's more too: for example, did you know just how ambitious and fast-moving we are as a business? We are continuously investing in our organisation to give our teams the tools they need to stay ahead of the competition with exciting plans for the future. We'd love you to help us make those plans happen. What we're looking for First things first: you don't need to know about tiles to work in a Topps Tile store. And you don't need to be someone who spends all their spare time DIYing. If retail's your speciality and you share our passion for exceptional customer service, you'll make a great Deputy Store Manager. Working alongside the Store Manager, you'll inspire, manage and develop a small store team, driving sales and profitability while delivering outstanding customer service. And that outstanding service? It's something you pride yourself on. As well as making sure that your store works like clockwork and is beautifully presented, you'll help team members to become product experts and give them the confidence (and know-how) to make the most of sales opportunities and build strong relationships with our retail and trade customers. That could be through coaching, training, or simply sharing what you know and your experiences. But, as Deputy Manager, it's not just people who'll improve with you around; you'll constantly be looking for exciting new ways to improve your store and the customer experience. By having an interest in interior design or being a creative person, you will be able to inspire our customers in their style choices using leading edge technology which really allows our customers' projects to come to life. No two days are the same, one minute you could be getting creative, the next helping with our traders. Lifting tiles is part of the job as is putting away deliveries! Who you are A store customer's enjoy shopping in and colleagues love working in - that's what you do brilliantly. You've worked in retail, you've led teams and you can show us where you've exceeded sales and profit targets. But more than anything, you know the ingredients that make for magical customer experiences - and you're able to get the best out of team members to make it happen. As Deputy Manager, you're can-do, will-do, someone who rolls up their sleeves while leading by example. You do everything you can to help your team members, coaching them, supporting them, sharing advice and knowledge. You're commercially switched on too, with business acumen to keep ahead of your competition and set your store apart. What we'll do for you In a culture where hard work is recognised and great results are rewarded, you can look forward to uncapped personal commission and company bonus schemes that will give you a share of our success and substantially increase your base wage. Then there's a generous staff discount, a Share Save scheme, pension and life assurance, a holiday allowance that increases with length of service and a wide range of other benefits. We're committed to promoting talent from within too, which means you'll be well-supported to build a rewarding career with an individual development plan and lots of training on offer. And while you'll need the flexibility to cover store opening hours including weekends, there's no evening work to worry about - and no working on Christmas Eve or Boxing Day either. We do ask that you are flexible to work in alternative locations if required. Who we are Big things are happening at Topps Tiles. As the UK's leading tile specialist selling only the very best quality on-trend products, £1 of every £3 spent in the UK domestic tile market is spent with us. We have grown to incorporate over 1,500 specialist experts and over 350 stores nationwide. This is an exciting time to join the Topps Tiles family. We're as big on career opportunities as we are on outstanding service and great value. After all, it's the brilliant, friendly, knowledgeable people that make us special. Due to health and safety reasons and the nature of the work in our stores, we would invite applications from those aged 18 or over. Think you know Topps Group? Think again. There's plenty about Topps Group that might surprise you. Like the fact that you don't need to be a DIY or tile expert to work in one of our stores or our Leicester based Support Centre. Or the fact that that we're Britain's largest specialist tile retailer, with more than 1,600 in-store specialists providing world class customer service to homeowners and tradespeople in over 300 stores nationwide.
May 20, 2026
Full time
30 hours per week including some weekend working Great choice, outstanding value, market leading customer service. That's Topps Tiles. But there's more too: for example, did you know just how ambitious and fast-moving we are as a business? We are continuously investing in our organisation to give our teams the tools they need to stay ahead of the competition with exciting plans for the future. We'd love you to help us make those plans happen. What we're looking for First things first: you don't need to know about tiles to work in a Topps Tile store. And you don't need to be someone who spends all their spare time DIYing. If retail's your speciality and you share our passion for exceptional customer service, you'll make a great Deputy Store Manager. Working alongside the Store Manager, you'll inspire, manage and develop a small store team, driving sales and profitability while delivering outstanding customer service. And that outstanding service? It's something you pride yourself on. As well as making sure that your store works like clockwork and is beautifully presented, you'll help team members to become product experts and give them the confidence (and know-how) to make the most of sales opportunities and build strong relationships with our retail and trade customers. That could be through coaching, training, or simply sharing what you know and your experiences. But, as Deputy Manager, it's not just people who'll improve with you around; you'll constantly be looking for exciting new ways to improve your store and the customer experience. By having an interest in interior design or being a creative person, you will be able to inspire our customers in their style choices using leading edge technology which really allows our customers' projects to come to life. No two days are the same, one minute you could be getting creative, the next helping with our traders. Lifting tiles is part of the job as is putting away deliveries! Who you are A store customer's enjoy shopping in and colleagues love working in - that's what you do brilliantly. You've worked in retail, you've led teams and you can show us where you've exceeded sales and profit targets. But more than anything, you know the ingredients that make for magical customer experiences - and you're able to get the best out of team members to make it happen. As Deputy Manager, you're can-do, will-do, someone who rolls up their sleeves while leading by example. You do everything you can to help your team members, coaching them, supporting them, sharing advice and knowledge. You're commercially switched on too, with business acumen to keep ahead of your competition and set your store apart. What we'll do for you In a culture where hard work is recognised and great results are rewarded, you can look forward to uncapped personal commission and company bonus schemes that will give you a share of our success and substantially increase your base wage. Then there's a generous staff discount, a Share Save scheme, pension and life assurance, a holiday allowance that increases with length of service and a wide range of other benefits. We're committed to promoting talent from within too, which means you'll be well-supported to build a rewarding career with an individual development plan and lots of training on offer. And while you'll need the flexibility to cover store opening hours including weekends, there's no evening work to worry about - and no working on Christmas Eve or Boxing Day either. We do ask that you are flexible to work in alternative locations if required. Who we are Big things are happening at Topps Tiles. As the UK's leading tile specialist selling only the very best quality on-trend products, £1 of every £3 spent in the UK domestic tile market is spent with us. We have grown to incorporate over 1,500 specialist experts and over 350 stores nationwide. This is an exciting time to join the Topps Tiles family. We're as big on career opportunities as we are on outstanding service and great value. After all, it's the brilliant, friendly, knowledgeable people that make us special. Due to health and safety reasons and the nature of the work in our stores, we would invite applications from those aged 18 or over. Think you know Topps Group? Think again. There's plenty about Topps Group that might surprise you. Like the fact that you don't need to be a DIY or tile expert to work in one of our stores or our Leicester based Support Centre. Or the fact that that we're Britain's largest specialist tile retailer, with more than 1,600 in-store specialists providing world class customer service to homeowners and tradespeople in over 300 stores nationwide.
Economics Graduate - Football Trading & Member Relations Remote £15 per hour Part-Time Up to 10 Hours Per Week Fixed-Term Contract until 20 December 2026 (long-term opportunity depending on performance) E Junior Recruitment is currently supporting Stats Profit, a football probability prediction and trading service, in the search for a confident and professional Part-Time Economics Graduate to support prospective member engagement activities ahead of the upcoming football season. Stats Profit operates a structured football trading system based on long-term probability research and historical football data analysis conducted behind the scenes by the business. Rather than providing software or a trading platform, members simply receive a selection of researched football home win opportunities each week via Telegram, including the match details, date, and minimum recommended odds required for the system. Members then independently choose whether to follow the structured system and track their own trading activity and results over time with the aim of achieving similar long-term outcomes to the historical performance of the system. Stats Profit is currently entering an exciting new growth phase ahead of the upcoming football season and is preparing to onboard a larger cohort of members through a more structured communication and onboarding process for the first time. This is an excellent opportunity for somebody with strong communication and relationship-building skills who enjoys speaking with people, presenting information clearly, and helping prospective members better understand a unique long-term football trading approach. About the Role Warm prospective member enquiries will be generated through targeted cold email outreach campaigns. Your role will focus on managing, nurturing, and qualifying positive responses from interested individuals who would like to learn more about Stats Profit and its membership opportunities. You will build relationships with warm prospects over time, answer questions, host introductory webinars or 1-to-1 online sessions, and help prospective members understand the structured long-term approach behind the service. A key responsibility will involve qualifying warm leads into a structured "hot list" of highly engaged prospective members who may be ready to secure their membership position for the upcoming football season through a deposit payment. Once prospects are considered suitably qualified and highly engaged, you will coordinate and schedule final conversion calls with senior management. This is a relationship-management and qualification-focused role rather than a high-pressure sales position. Key Responsibilities Managing and nurturing warm lead responses generated through outreach campaigns Building professional relationships with prospective members over time Booking and coordinating introductory webinars and online meetings Hosting webinars and 1-to-1 information sessions via Zoom or Teams Explaining Stats Profit's structure, approach, and membership pathways clearly and professionally Qualifying prospective members into a structured hot-list pipeline Identifying individuals who may be ready to secure membership with a deposit payment Coordinating and scheduling qualified conversion calls with senior management Maintaining organised records, notes, and follow-up activity Supporting ongoing communication through Telegram and email channels Providing regular updates regarding lead quality and pipeline progress What We're Looking For We are primarily looking for somebody with excellent communication and interpersonal skills rather than extensive industry experience. The successful candidate will likely demonstrate: Excellent verbal and written communication skills Confidence speaking to people via Zoom/Teams/video calls Strong organisational and follow-up skills Professional, trustworthy, and personable manner Ability to digest information quickly and explain concepts simply Comfortable discussing structured long-term trading approaches responsibly and professionally Self-motivated and reliable when working remotely Good attention to detail Confidence building rapport and trust with prospective members Desirable (Not Essential) Account management experience Recruitment, telesales, customer success, or client relationship experience Experience hosting webinars, presentations, or online meetings Interest in football, analytics, probability, trading, or investment-style systems Working Hours & Pay Up to 10 flexible hours per week Remote working £15 per hour Initial fixed-term contract until 20 December 2026 Weekly performance reviews and ongoing support provided Formal 3-month performance and workflow review to assess long-term viability of the role Additional Information This position would suit somebody looking for flexible part-time work alongside another role, freelancing, studies, or family commitments. Full onboarding and guidance regarding the Stats Profit system and communication process will be provided. Applicants are encouraged to research Stats Profit prior to interview stage to gain a better understanding of the business and its long-term vision.
May 20, 2026
Contractor
Economics Graduate - Football Trading & Member Relations Remote £15 per hour Part-Time Up to 10 Hours Per Week Fixed-Term Contract until 20 December 2026 (long-term opportunity depending on performance) E Junior Recruitment is currently supporting Stats Profit, a football probability prediction and trading service, in the search for a confident and professional Part-Time Economics Graduate to support prospective member engagement activities ahead of the upcoming football season. Stats Profit operates a structured football trading system based on long-term probability research and historical football data analysis conducted behind the scenes by the business. Rather than providing software or a trading platform, members simply receive a selection of researched football home win opportunities each week via Telegram, including the match details, date, and minimum recommended odds required for the system. Members then independently choose whether to follow the structured system and track their own trading activity and results over time with the aim of achieving similar long-term outcomes to the historical performance of the system. Stats Profit is currently entering an exciting new growth phase ahead of the upcoming football season and is preparing to onboard a larger cohort of members through a more structured communication and onboarding process for the first time. This is an excellent opportunity for somebody with strong communication and relationship-building skills who enjoys speaking with people, presenting information clearly, and helping prospective members better understand a unique long-term football trading approach. About the Role Warm prospective member enquiries will be generated through targeted cold email outreach campaigns. Your role will focus on managing, nurturing, and qualifying positive responses from interested individuals who would like to learn more about Stats Profit and its membership opportunities. You will build relationships with warm prospects over time, answer questions, host introductory webinars or 1-to-1 online sessions, and help prospective members understand the structured long-term approach behind the service. A key responsibility will involve qualifying warm leads into a structured "hot list" of highly engaged prospective members who may be ready to secure their membership position for the upcoming football season through a deposit payment. Once prospects are considered suitably qualified and highly engaged, you will coordinate and schedule final conversion calls with senior management. This is a relationship-management and qualification-focused role rather than a high-pressure sales position. Key Responsibilities Managing and nurturing warm lead responses generated through outreach campaigns Building professional relationships with prospective members over time Booking and coordinating introductory webinars and online meetings Hosting webinars and 1-to-1 information sessions via Zoom or Teams Explaining Stats Profit's structure, approach, and membership pathways clearly and professionally Qualifying prospective members into a structured hot-list pipeline Identifying individuals who may be ready to secure membership with a deposit payment Coordinating and scheduling qualified conversion calls with senior management Maintaining organised records, notes, and follow-up activity Supporting ongoing communication through Telegram and email channels Providing regular updates regarding lead quality and pipeline progress What We're Looking For We are primarily looking for somebody with excellent communication and interpersonal skills rather than extensive industry experience. The successful candidate will likely demonstrate: Excellent verbal and written communication skills Confidence speaking to people via Zoom/Teams/video calls Strong organisational and follow-up skills Professional, trustworthy, and personable manner Ability to digest information quickly and explain concepts simply Comfortable discussing structured long-term trading approaches responsibly and professionally Self-motivated and reliable when working remotely Good attention to detail Confidence building rapport and trust with prospective members Desirable (Not Essential) Account management experience Recruitment, telesales, customer success, or client relationship experience Experience hosting webinars, presentations, or online meetings Interest in football, analytics, probability, trading, or investment-style systems Working Hours & Pay Up to 10 flexible hours per week Remote working £15 per hour Initial fixed-term contract until 20 December 2026 Weekly performance reviews and ongoing support provided Formal 3-month performance and workflow review to assess long-term viability of the role Additional Information This position would suit somebody looking for flexible part-time work alongside another role, freelancing, studies, or family commitments. Full onboarding and guidance regarding the Stats Profit system and communication process will be provided. Applicants are encouraged to research Stats Profit prior to interview stage to gain a better understanding of the business and its long-term vision.
Confidential Opportunity - Senior Credit Risk Analyst / Portfolio Risk Manager Birmingham Specialist Property & Structured Lending Environment Our client is a growing UK financial services organisation operating within the specialist property-backed lending sector. With a current lending portfolio of approximately £250m and further capital expansion planned, the business continues to strengthen its risk infrastructure as part of its next phase of growth. The organisation operates within a highly regulated environment and has established a strong reputation for disciplined underwriting, prudent governance and customer-focused lending solutions across Home Purchase Plans, Buy-to-Let (BTL), Bridging / Development broader specialist finance products. As part of the continued evolution of the Risk function, the business is now seeking to appoint a commercially minded and technically capable Credit Risk professional with strong analytical capability, IFRS9 knowledge and experience across portfolio risk, modelling and risk framework development. This position represents an excellent opportunity for an individual looking to play a genuinely influential role within a growing lending platform, working closely with senior leadership and governance committees while helping shape the future direction of portfolio risk oversight. Role Overview The successful individual will play a key role in the ongoing development, monitoring and enhancement of the organisation's credit risk framework, with particular focus across portfolio analytics, IFRS9 methodology, stress testing, impairment analysis and proactive risk identification. The role will suit an individual capable not only of producing high-quality analysis and reporting, but also interpreting portfolio trends, identifying emerging risks and helping drive meaningful risk-based decision making across the wider business. The position sits closely alongside the broader Second Line Risk function and will involve regular exposure to senior stakeholders, governance committees and strategic risk discussions. Key Responsibilities Monitor and assess the performance of the firm's HPP, BTL, Bridging and specialist lending portfolios, identifying emerging trends, concentration risks and early warning indicators. Support the development, enhancement and ongoing calibration of IFRS9 / Expected Credit Loss (ECL) methodologies and portfolio impairment frameworks. Contribute toward the design, implementation and refinement of credit risk models, stress testing frameworks and scenario analysis tools. Produce portfolio analytics, MI and risk reporting for Executive Committees, Credit Committees and Board-level governance forums. Assist in the ongoing development of credit risk policies, risk appetite frameworks and portfolio governance standards. Analyse arrears performance, delinquency trends, forbearance activity and portfolio migration behaviour to support proactive risk management decisions. Work closely with Underwriting, Finance, Compliance and Operations teams to ensure robust risk oversight across the lending lifecycle. Support risk-based decision making through meaningful interpretation of portfolio data and forward-looking risk indicators. Assist in the maintenance and development of enterprise risk registers, governance reporting and broader 2LoD oversight processes. Act as Secretariat support to Credit Committee and associated governance forums where required. Contribute toward regulatory and internal audit responses relating to portfolio risk, impairment modelling and governance controls. Support ongoing enhancement of risk frameworks as the business expands into additional lending and commercial finance sectors. Skills & Experience Required Experience within Credit Risk, Portfolio Risk, Risk Analytics or IFRS9-focused roles gained within banking, specialist lending, mortgages, real estate finance, challenger banking or wider financial services environments. Strong understanding of IFRS9 standards, Expected Credit Loss (ECL) methodologies and impairment modelling principles. Experience supporting or developing credit risk models, stress testing frameworks or scenario analysis processes. Strong analytical capability with the ability to interpret complex portfolio data and convert findings into meaningful commercial insight. Understanding of UK regulated lending environments including FCA expectations, governance standards and prudent risk management principles. Experience preparing senior-level risk reporting, committee packs and portfolio analysis documentation. Advanced Excel skills and exposure to portfolio analytics, data modelling or risk reporting tools. Strong communication skills with the confidence to engage with senior stakeholders across Risk, Finance and Lending functions. Highly organised with strong attention to detail and the ability to operate within a growing and evolving lending environment. Highly Desirable Exposure to property finance, bridging finance, specialist mortgages or buy-to-let lending. Experience operating within a Second Line of Defence (2LoD) framework. Exposure to SAS, SQL, Power BI, Python or other analytical / modelling tools. Experience contributing toward risk appetite frameworks, portfolio strategy or impairment governance. This is an excellent opportunity to join a well-capitalised lending platform at an important stage of its evolution. Please note this role is Birmingham based and so we are sharing this role across locations where it is commutable within 1.5 hours of the Head Office. Solihull has a rail startion and the firm has large car park. The expectations of employees are only once or twice per week in the office maximum. We currently have employees in the office commuting into us from most areas including London, Northampton, Nottingham, Gloucester, Coventry, Birmingham, Stoke, Leicester, Derby.
May 20, 2026
Full time
Confidential Opportunity - Senior Credit Risk Analyst / Portfolio Risk Manager Birmingham Specialist Property & Structured Lending Environment Our client is a growing UK financial services organisation operating within the specialist property-backed lending sector. With a current lending portfolio of approximately £250m and further capital expansion planned, the business continues to strengthen its risk infrastructure as part of its next phase of growth. The organisation operates within a highly regulated environment and has established a strong reputation for disciplined underwriting, prudent governance and customer-focused lending solutions across Home Purchase Plans, Buy-to-Let (BTL), Bridging / Development broader specialist finance products. As part of the continued evolution of the Risk function, the business is now seeking to appoint a commercially minded and technically capable Credit Risk professional with strong analytical capability, IFRS9 knowledge and experience across portfolio risk, modelling and risk framework development. This position represents an excellent opportunity for an individual looking to play a genuinely influential role within a growing lending platform, working closely with senior leadership and governance committees while helping shape the future direction of portfolio risk oversight. Role Overview The successful individual will play a key role in the ongoing development, monitoring and enhancement of the organisation's credit risk framework, with particular focus across portfolio analytics, IFRS9 methodology, stress testing, impairment analysis and proactive risk identification. The role will suit an individual capable not only of producing high-quality analysis and reporting, but also interpreting portfolio trends, identifying emerging risks and helping drive meaningful risk-based decision making across the wider business. The position sits closely alongside the broader Second Line Risk function and will involve regular exposure to senior stakeholders, governance committees and strategic risk discussions. Key Responsibilities Monitor and assess the performance of the firm's HPP, BTL, Bridging and specialist lending portfolios, identifying emerging trends, concentration risks and early warning indicators. Support the development, enhancement and ongoing calibration of IFRS9 / Expected Credit Loss (ECL) methodologies and portfolio impairment frameworks. Contribute toward the design, implementation and refinement of credit risk models, stress testing frameworks and scenario analysis tools. Produce portfolio analytics, MI and risk reporting for Executive Committees, Credit Committees and Board-level governance forums. Assist in the ongoing development of credit risk policies, risk appetite frameworks and portfolio governance standards. Analyse arrears performance, delinquency trends, forbearance activity and portfolio migration behaviour to support proactive risk management decisions. Work closely with Underwriting, Finance, Compliance and Operations teams to ensure robust risk oversight across the lending lifecycle. Support risk-based decision making through meaningful interpretation of portfolio data and forward-looking risk indicators. Assist in the maintenance and development of enterprise risk registers, governance reporting and broader 2LoD oversight processes. Act as Secretariat support to Credit Committee and associated governance forums where required. Contribute toward regulatory and internal audit responses relating to portfolio risk, impairment modelling and governance controls. Support ongoing enhancement of risk frameworks as the business expands into additional lending and commercial finance sectors. Skills & Experience Required Experience within Credit Risk, Portfolio Risk, Risk Analytics or IFRS9-focused roles gained within banking, specialist lending, mortgages, real estate finance, challenger banking or wider financial services environments. Strong understanding of IFRS9 standards, Expected Credit Loss (ECL) methodologies and impairment modelling principles. Experience supporting or developing credit risk models, stress testing frameworks or scenario analysis processes. Strong analytical capability with the ability to interpret complex portfolio data and convert findings into meaningful commercial insight. Understanding of UK regulated lending environments including FCA expectations, governance standards and prudent risk management principles. Experience preparing senior-level risk reporting, committee packs and portfolio analysis documentation. Advanced Excel skills and exposure to portfolio analytics, data modelling or risk reporting tools. Strong communication skills with the confidence to engage with senior stakeholders across Risk, Finance and Lending functions. Highly organised with strong attention to detail and the ability to operate within a growing and evolving lending environment. Highly Desirable Exposure to property finance, bridging finance, specialist mortgages or buy-to-let lending. Experience operating within a Second Line of Defence (2LoD) framework. Exposure to SAS, SQL, Power BI, Python or other analytical / modelling tools. Experience contributing toward risk appetite frameworks, portfolio strategy or impairment governance. This is an excellent opportunity to join a well-capitalised lending platform at an important stage of its evolution. Please note this role is Birmingham based and so we are sharing this role across locations where it is commutable within 1.5 hours of the Head Office. Solihull has a rail startion and the firm has large car park. The expectations of employees are only once or twice per week in the office maximum. We currently have employees in the office commuting into us from most areas including London, Northampton, Nottingham, Gloucester, Coventry, Birmingham, Stoke, Leicester, Derby.
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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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.
Technical Services Engineer Permanent Role Can be based from any of our UK office locations but will have travel UK wide Leeds / Manchester / Birmingham / London / Bristol / Glasgow Competitive Salary & Benefits Summary The purpose of the role is to support the operations teams in delivering a safe, compliant HV installations, meeting the clients specification and functional needs whilst ensuring that safety and quality procedures are fully implemented during the design, planning, installation and commissioning phases. Some of the key deliverables in this role will include: Demonstrate appropriate health & safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the HV commissioning management on projects to achieve company, team and individual objectives relating to the implementation of best value design, management of opportunities, risk mitigation, and technically excellent installations. Provide commissioning advice and assistance to other areas of the business and support business development, actively promoting our HV commissioning and operational capability. Assist the commissioning manager HV in the production of project commissioning fees. Prepare site visit reports for senior stakeholder, highlighting progress, risks, opportunities and resource issues. In conjunction with the project team, ensure that commissioning documentation is produced in line with the NG Bailey standard procedures. Manage the commissioning activities in line with documentation, highlighting any issues, risks, opportunities as necessary to ensure the commissioning procedure is successfully completed. Assist the project manager to define the work scope of external commissioning. Coordinate as required the commissioning activities in line with agreed scope. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the HV team and actively seek out new opportunities. Maintain knowledge of new and existing equipment and seek opportunities to gain specific knowledge of HV commissioning best practice. Apply current legislation regarding standard, CDM, quality control, commissioning, safety & environmental issues relating to all activities. What we're looking for : Significant experience working on high voltage installations at authorised person level Significant experience of managing quality control procedures including off site witness testing Fully qualified installation electrician or equivalent practical qual HV AP 1 course or approved equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes. Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
May 20, 2026
Full time
Technical Services Engineer Permanent Role Can be based from any of our UK office locations but will have travel UK wide Leeds / Manchester / Birmingham / London / Bristol / Glasgow Competitive Salary & Benefits Summary The purpose of the role is to support the operations teams in delivering a safe, compliant HV installations, meeting the clients specification and functional needs whilst ensuring that safety and quality procedures are fully implemented during the design, planning, installation and commissioning phases. Some of the key deliverables in this role will include: Demonstrate appropriate health & safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the HV commissioning management on projects to achieve company, team and individual objectives relating to the implementation of best value design, management of opportunities, risk mitigation, and technically excellent installations. Provide commissioning advice and assistance to other areas of the business and support business development, actively promoting our HV commissioning and operational capability. Assist the commissioning manager HV in the production of project commissioning fees. Prepare site visit reports for senior stakeholder, highlighting progress, risks, opportunities and resource issues. In conjunction with the project team, ensure that commissioning documentation is produced in line with the NG Bailey standard procedures. Manage the commissioning activities in line with documentation, highlighting any issues, risks, opportunities as necessary to ensure the commissioning procedure is successfully completed. Assist the project manager to define the work scope of external commissioning. Coordinate as required the commissioning activities in line with agreed scope. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the HV team and actively seek out new opportunities. Maintain knowledge of new and existing equipment and seek opportunities to gain specific knowledge of HV commissioning best practice. Apply current legislation regarding standard, CDM, quality control, commissioning, safety & environmental issues relating to all activities. What we're looking for : Significant experience working on high voltage installations at authorised person level Significant experience of managing quality control procedures including off site witness testing Fully qualified installation electrician or equivalent practical qual HV AP 1 course or approved equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes. Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Parkside Office Professional
Maidenhead, Berkshire
Full-Time Temp to Perm£26,760.89 per annumMonday - Friday 07:30am - 4:00pmOn-site parking available A fantastic opportunity has arisen for a hands-on and detail-oriented Workshop Repair Technician / Administrator to join a busy and growing operation on a temp-to-perm basis. This role would suit someone who enjoys practical repair work, has an interest in sewing, stitching or DIY projects, and is also comfortable using systems and carrying out administrative duties. This is a varied role combining workshop-based repair work with operational administration support. The successful candidate will be part of a multifunctional team responsible for assessing, processing and repairing premium luggage items to manufacturer standards. The role would suit candidates from workshop, repairs, production, tailoring, sewing, manufacturing, engineering, retail repairs or technical environments, or someone with practical hobbies such as sewing, upholstery, crafting or DIY. Key Responsibilities: Assess luggage and damaged items to determine repair requirements Carry out repairs using approved methods and genuine parts Perform stitching, repair and restoration work to a high standard Process repair bookings using internal systems Take photographs and record damage assessments accurately Respond to emails from customers, retailers and clients Maintain accurate records and quality control documentation Package and dispatch completed repaired items Support wider workshop and administrative functions when required Ensure all work is completed within KPI and quality targets Skills & Experience Required: Strong attention to detail and pride in producing quality work Basic IT and administration skills, including MS Office Interest or experience in sewing, stitching, repairs or DIY work Comfortable working in a fast-paced operational environment Strong communication skills and a team-player mentality Ability to adapt and support multiple areas of the business Previous workshop, repair or technical experience would be advantageous but not essential What's on Offer: Temp-to-perm opportunity with long-term potential Stable Monday-Friday working hours Friendly and supportive team environment Full training provided 20 days holiday plus bank holidays On-site parking This is not your typical administration role - the position is heavily focused on practical repair work, with administration duties supporting the repair process. Candidates who enjoy hands-on work and have a practical mindset are encouraged to apply.
May 20, 2026
Full time
Full-Time Temp to Perm£26,760.89 per annumMonday - Friday 07:30am - 4:00pmOn-site parking available A fantastic opportunity has arisen for a hands-on and detail-oriented Workshop Repair Technician / Administrator to join a busy and growing operation on a temp-to-perm basis. This role would suit someone who enjoys practical repair work, has an interest in sewing, stitching or DIY projects, and is also comfortable using systems and carrying out administrative duties. This is a varied role combining workshop-based repair work with operational administration support. The successful candidate will be part of a multifunctional team responsible for assessing, processing and repairing premium luggage items to manufacturer standards. The role would suit candidates from workshop, repairs, production, tailoring, sewing, manufacturing, engineering, retail repairs or technical environments, or someone with practical hobbies such as sewing, upholstery, crafting or DIY. Key Responsibilities: Assess luggage and damaged items to determine repair requirements Carry out repairs using approved methods and genuine parts Perform stitching, repair and restoration work to a high standard Process repair bookings using internal systems Take photographs and record damage assessments accurately Respond to emails from customers, retailers and clients Maintain accurate records and quality control documentation Package and dispatch completed repaired items Support wider workshop and administrative functions when required Ensure all work is completed within KPI and quality targets Skills & Experience Required: Strong attention to detail and pride in producing quality work Basic IT and administration skills, including MS Office Interest or experience in sewing, stitching, repairs or DIY work Comfortable working in a fast-paced operational environment Strong communication skills and a team-player mentality Ability to adapt and support multiple areas of the business Previous workshop, repair or technical experience would be advantageous but not essential What's on Offer: Temp-to-perm opportunity with long-term potential Stable Monday-Friday working hours Friendly and supportive team environment Full training provided 20 days holiday plus bank holidays On-site parking This is not your typical administration role - the position is heavily focused on practical repair work, with administration duties supporting the repair process. Candidates who enjoy hands-on work and have a practical mindset are encouraged to apply.
Join Our Team as a Personal Assistant! Are you an organised and proactive individual looking to make a difference? Our client is seeking a dynamic Personal Assistant (PA) to support 2-3 Deputy Directors within a vibrant and collaborative environment. This role is essential in ensuring that the organisation operates smoothly and efficiently while contributing to a sustainable energy future for all. Start ASAP, pay 19ph, duration until September 2026, hours Monday-Friday 36 hours per week, this is a hybrid working role, one day a week in the office, location Canary Wharf . The successful candidate will be required to go through a clearance ahead of starting. Why Join Us? At our client's organisation, they are dedicated to ensuring safe, affordable, and environmentally sustainable energy for every household and business in the UK. By joining our client, you'll be part of a team accelerating the transition to Net Zero. Your contributions will help shape innovative energy solutions that benefit customers and the environment! Key Responsibilities: Proactively manage Deputy Directors' diaries, tackling clashes and prioritising effectively. Collaborate with teams to provide logistical and administrative support. Work alongside other PAs to ensure seamless coverage and support. What You'll Deliver: Efficient diary management, ensuring Deputy Directors are well-prepared for meetings. Develop strong relationships with colleagues across the organisation. Contribute positively to team dynamics and assist fellow PAs when needed. What We're Looking For: Experience in fast-paced administrative roles, with the ability to adapt to changing priorities. Excellent interpersonal skills and the ability to communicate effectively at all levels. Proficiency in MS Office Suite (including OneNote). Join Us in Making a Difference! If you're ready to bring your organisational skills and enthusiasm to a forward-thinking team, we want to hear from you! Embrace an inclusive workplace where everyone can be their authentic selves. Apply today and be a part of a mission-driven organisation that values innovation and collaboration! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
May 20, 2026
Seasonal
Join Our Team as a Personal Assistant! Are you an organised and proactive individual looking to make a difference? Our client is seeking a dynamic Personal Assistant (PA) to support 2-3 Deputy Directors within a vibrant and collaborative environment. This role is essential in ensuring that the organisation operates smoothly and efficiently while contributing to a sustainable energy future for all. Start ASAP, pay 19ph, duration until September 2026, hours Monday-Friday 36 hours per week, this is a hybrid working role, one day a week in the office, location Canary Wharf . The successful candidate will be required to go through a clearance ahead of starting. Why Join Us? At our client's organisation, they are dedicated to ensuring safe, affordable, and environmentally sustainable energy for every household and business in the UK. By joining our client, you'll be part of a team accelerating the transition to Net Zero. Your contributions will help shape innovative energy solutions that benefit customers and the environment! Key Responsibilities: Proactively manage Deputy Directors' diaries, tackling clashes and prioritising effectively. Collaborate with teams to provide logistical and administrative support. Work alongside other PAs to ensure seamless coverage and support. What You'll Deliver: Efficient diary management, ensuring Deputy Directors are well-prepared for meetings. Develop strong relationships with colleagues across the organisation. Contribute positively to team dynamics and assist fellow PAs when needed. What We're Looking For: Experience in fast-paced administrative roles, with the ability to adapt to changing priorities. Excellent interpersonal skills and the ability to communicate effectively at all levels. Proficiency in MS Office Suite (including OneNote). Join Us in Making a Difference! If you're ready to bring your organisational skills and enthusiasm to a forward-thinking team, we want to hear from you! Embrace an inclusive workplace where everyone can be their authentic selves. Apply today and be a part of a mission-driven organisation that values innovation and collaboration! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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.
Desk-Based Account Manager - Gravesend About the Role We're looking for a proactive, customer-focused Desk-Based Account Manager to join our sales team based in Gravesend. This is an exciting opportunity to play a key role in driving customer success and business growth. You'll be at the heart of customer relationships-managing accounts, responding to enquiries, developing opportunities, and ensuring our customers receive outstanding service every time. You'll also work closely with our wider commercial and marketing teams, helping shape product development and staying ahead of market trends in the packaging and construction sectors. If you enjoy building relationships, spotting opportunities, and being part of a fast-paced, supportive team-this role is for you. What You'll Be Doing Customer & Sales Growth Manage a portfolio of existing customers, building strong relationships and encouraging repeat business in partnership with the External Sales Team Respond to incoming enquiries and convert leads into successful orders Identify upselling and cross-selling opportunities across our packaging range Work closely with field sales colleagues to deliver a seamless customer experience Keep CRM records accurate and up to date, including quotes and customer interactions Marketing & Product Development Support Proactively engage customers via phone and email to promote products and services Support marketing campaigns and new product development initiatives Share real-time customer feedback to help shape new product ideas and improvements Stay informed on packaging, construction trends, competitor activity, and market developments Contribute insights that help drive smarter commercial decisions Collaboration & Performance Work closely with internal and external teams to deliver excellent customer outcomes Support monthly sales reviews and performance tracking against targets Help ensure a joined-up, customer-first approach across the business What We're Looking For Experience in sales, account management, or a B2B/customer-focused environment (packaging or trade experience desirable) Strong communication skills with the ability to build relationships over phone and email Commercial awareness and curiosity about market trends and customer needs Confidence working with targets and performance measures Highly organised, self-motivated, and comfortable using IT systems (Outlook, Excel, CRM tools) Desirable Experience Familiarity with the packaging industry (full training provided) Experience working with end users, distributors, or in a creative/problem-solving role What We Offer Company pension plan Company-funded medical cash plan Long service awards and enhanced pension contributions 25 days holiday plus bank holidays Free on-site parking Complimentary coffee, tea, and fruit in the office Blue Arrow is proud to be a Disability Confident Employer and is committed to helping find great work opportunities for great people.
May 20, 2026
Full time
Desk-Based Account Manager - Gravesend About the Role We're looking for a proactive, customer-focused Desk-Based Account Manager to join our sales team based in Gravesend. This is an exciting opportunity to play a key role in driving customer success and business growth. You'll be at the heart of customer relationships-managing accounts, responding to enquiries, developing opportunities, and ensuring our customers receive outstanding service every time. You'll also work closely with our wider commercial and marketing teams, helping shape product development and staying ahead of market trends in the packaging and construction sectors. If you enjoy building relationships, spotting opportunities, and being part of a fast-paced, supportive team-this role is for you. What You'll Be Doing Customer & Sales Growth Manage a portfolio of existing customers, building strong relationships and encouraging repeat business in partnership with the External Sales Team Respond to incoming enquiries and convert leads into successful orders Identify upselling and cross-selling opportunities across our packaging range Work closely with field sales colleagues to deliver a seamless customer experience Keep CRM records accurate and up to date, including quotes and customer interactions Marketing & Product Development Support Proactively engage customers via phone and email to promote products and services Support marketing campaigns and new product development initiatives Share real-time customer feedback to help shape new product ideas and improvements Stay informed on packaging, construction trends, competitor activity, and market developments Contribute insights that help drive smarter commercial decisions Collaboration & Performance Work closely with internal and external teams to deliver excellent customer outcomes Support monthly sales reviews and performance tracking against targets Help ensure a joined-up, customer-first approach across the business What We're Looking For Experience in sales, account management, or a B2B/customer-focused environment (packaging or trade experience desirable) Strong communication skills with the ability to build relationships over phone and email Commercial awareness and curiosity about market trends and customer needs Confidence working with targets and performance measures Highly organised, self-motivated, and comfortable using IT systems (Outlook, Excel, CRM tools) Desirable Experience Familiarity with the packaging industry (full training provided) Experience working with end users, distributors, or in a creative/problem-solving role What We Offer Company pension plan Company-funded medical cash plan Long service awards and enhanced pension contributions 25 days holiday plus bank holidays Free on-site parking Complimentary coffee, tea, and fruit in the office Blue Arrow is proud to be a Disability Confident Employer and is committed to helping find great work opportunities for great people.
Technical Services Engineer Permanent Role Can be based from any of our UK office locations but will have travel UK wide Leeds / Manchester / Birmingham / London / Bristol / Glasgow Competitive Salary & Benefits Summary The purpose of the role is to support the operations teams in delivering a safe, compliant HV installations, meeting the clients specification and functional needs whilst ensuring that safety and quality procedures are fully implemented during the design, planning, installation and commissioning phases. Some of the key deliverables in this role will include: Demonstrate appropriate health & safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the HV commissioning management on projects to achieve company, team and individual objectives relating to the implementation of best value design, management of opportunities, risk mitigation, and technically excellent installations. Provide commissioning advice and assistance to other areas of the business and support business development, actively promoting our HV commissioning and operational capability. Assist the commissioning manager HV in the production of project commissioning fees. Prepare site visit reports for senior stakeholder, highlighting progress, risks, opportunities and resource issues. In conjunction with the project team, ensure that commissioning documentation is produced in line with the NG Bailey standard procedures. Manage the commissioning activities in line with documentation, highlighting any issues, risks, opportunities as necessary to ensure the commissioning procedure is successfully completed. Assist the project manager to define the work scope of external commissioning. Coordinate as required the commissioning activities in line with agreed scope. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the HV team and actively seek out new opportunities. Maintain knowledge of new and existing equipment and seek opportunities to gain specific knowledge of HV commissioning best practice. Apply current legislation regarding standard, CDM, quality control, commissioning, safety & environmental issues relating to all activities. What we're looking for : Significant experience working on high voltage installations at authorised person level Significant experience of managing quality control procedures including off site witness testing Fully qualified installation electrician or equivalent practical qual HV AP 1 course or approved equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes. Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
May 20, 2026
Full time
Technical Services Engineer Permanent Role Can be based from any of our UK office locations but will have travel UK wide Leeds / Manchester / Birmingham / London / Bristol / Glasgow Competitive Salary & Benefits Summary The purpose of the role is to support the operations teams in delivering a safe, compliant HV installations, meeting the clients specification and functional needs whilst ensuring that safety and quality procedures are fully implemented during the design, planning, installation and commissioning phases. Some of the key deliverables in this role will include: Demonstrate appropriate health & safety leadership to ensure the safety first and foremost message is visible and alive throughout all activities. Lead the HV commissioning management on projects to achieve company, team and individual objectives relating to the implementation of best value design, management of opportunities, risk mitigation, and technically excellent installations. Provide commissioning advice and assistance to other areas of the business and support business development, actively promoting our HV commissioning and operational capability. Assist the commissioning manager HV in the production of project commissioning fees. Prepare site visit reports for senior stakeholder, highlighting progress, risks, opportunities and resource issues. In conjunction with the project team, ensure that commissioning documentation is produced in line with the NG Bailey standard procedures. Manage the commissioning activities in line with documentation, highlighting any issues, risks, opportunities as necessary to ensure the commissioning procedure is successfully completed. Assist the project manager to define the work scope of external commissioning. Coordinate as required the commissioning activities in line with agreed scope. Build and maintain mutually beneficial customer, key supplier and internal relationships. Promote the HV team and actively seek out new opportunities. Maintain knowledge of new and existing equipment and seek opportunities to gain specific knowledge of HV commissioning best practice. Apply current legislation regarding standard, CDM, quality control, commissioning, safety & environmental issues relating to all activities. What we're looking for : Significant experience working on high voltage installations at authorised person level Significant experience of managing quality control procedures including off site witness testing Fully qualified installation electrician or equivalent practical qual HV AP 1 course or approved equivalent Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Car/Car allowance Salary sacrifice car scheme (Hybrid/Electric Vehicle) 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days Pension with a leading provider and up to 8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes. Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
We have an opportunity for a highly motivated HR professional leading a strong HR advice and support team. The team is focused on advising and supporting our managers and staff across the organisation to maximise the performance and positive impact of our people. You will ensure that the HR service is highly responsive to current and future corporate and regional business needs and priorities. You will be based in our highly regarded, Investors in People Platinum, HR team in Creative Support's friendly and accessible Head Office located in Stockport town centre. You will promote the highest levels of internal and external customer care, positive person-centred values and a respectful, confidential approach. This job will offer great job satisfaction to people who enjoy hard work and achieving great outcomes for our business and our people. A commitment to continuous improvement is essential. With the support of the Head of People and Performance, you will lead a small team of staff to deliver high quality, holistic HR advice and support aligned to our core values, business needs and priorities in the areas of: - Employee engagement- Employee communications- Competence, capability and performance management- Conduct and discipline at work- Attendance and sickness management- Welfare support and stress prevention/management- Employee health and wellbeing- People motivation, satisfaction and retention- Employee career development and upskilling- Workplace inclusion and diversity- Relationships with workplace representatives/trade unions- Promoting a positive and productive working culture You will need to demonstrate significant HR experience and demonstrable expertise in the areas listed above. You will be able to lead and motivate a team and to empower each team member to flourish and develop in skills and confidence. Applicants should be personable, solution and outcome-focused and able to engage positively with staff and managers at all levels. You will need to be able to communicate clearly and professionally and you will demonstrate your people focused values in your practice. You will have excellent organisational skills with the ability to prioritise and manage a busy personal caseload. You will have a good eye for detail, be able to manage data and produce professional reports derived from spreadsheets and databases. A good standard of written English is required. A degree or comparable level of education is desirable. You must have gained, or be working towards a recognised accredited HR qualification. We can offer opportunities to develop your professional career in HR by offering support for further professional training as well as investment in soft skills. The willingness to travel to any of our sites and offices across the country is essential, but it is not necessary to be a car driver. Your duties may be carried out mainly in office hours from Monday to Friday but some flexibility in working hours is required. Full Time and Part Time hours will be considered. Vacancy Reference Number: 84366 Applications for this role must be submitted via the Creative Support website using the above vacancy reference number We are a passionate, inclusive, and anti-racist organization - Stonewall Diversity Champion, Disability Confident Employer who have recently received Investors in People Gold awarded. Applications are reviewed as they are received, we do not provide feedback for unsuccessful applications. We can only accept applications from candidates who are located in and eligible to work within the UK.
May 20, 2026
Full time
We have an opportunity for a highly motivated HR professional leading a strong HR advice and support team. The team is focused on advising and supporting our managers and staff across the organisation to maximise the performance and positive impact of our people. You will ensure that the HR service is highly responsive to current and future corporate and regional business needs and priorities. You will be based in our highly regarded, Investors in People Platinum, HR team in Creative Support's friendly and accessible Head Office located in Stockport town centre. You will promote the highest levels of internal and external customer care, positive person-centred values and a respectful, confidential approach. This job will offer great job satisfaction to people who enjoy hard work and achieving great outcomes for our business and our people. A commitment to continuous improvement is essential. With the support of the Head of People and Performance, you will lead a small team of staff to deliver high quality, holistic HR advice and support aligned to our core values, business needs and priorities in the areas of: - Employee engagement- Employee communications- Competence, capability and performance management- Conduct and discipline at work- Attendance and sickness management- Welfare support and stress prevention/management- Employee health and wellbeing- People motivation, satisfaction and retention- Employee career development and upskilling- Workplace inclusion and diversity- Relationships with workplace representatives/trade unions- Promoting a positive and productive working culture You will need to demonstrate significant HR experience and demonstrable expertise in the areas listed above. You will be able to lead and motivate a team and to empower each team member to flourish and develop in skills and confidence. Applicants should be personable, solution and outcome-focused and able to engage positively with staff and managers at all levels. You will need to be able to communicate clearly and professionally and you will demonstrate your people focused values in your practice. You will have excellent organisational skills with the ability to prioritise and manage a busy personal caseload. You will have a good eye for detail, be able to manage data and produce professional reports derived from spreadsheets and databases. A good standard of written English is required. A degree or comparable level of education is desirable. You must have gained, or be working towards a recognised accredited HR qualification. We can offer opportunities to develop your professional career in HR by offering support for further professional training as well as investment in soft skills. The willingness to travel to any of our sites and offices across the country is essential, but it is not necessary to be a car driver. Your duties may be carried out mainly in office hours from Monday to Friday but some flexibility in working hours is required. Full Time and Part Time hours will be considered. Vacancy Reference Number: 84366 Applications for this role must be submitted via the Creative Support website using the above vacancy reference number We are a passionate, inclusive, and anti-racist organization - Stonewall Diversity Champion, Disability Confident Employer who have recently received Investors in People Gold awarded. Applications are reviewed as they are received, we do not provide feedback for unsuccessful applications. We can only accept applications from candidates who are located in and eligible to work within the UK.
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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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 Senior 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: 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. Strong 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.
May 20, 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 Senior 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: 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. Strong 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.
