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.
Sales Coordination and Administration, Permanent, £26,536.32 Your new company You will be joining a global, market-leading organisation operating at the forefront of scientific and technological advancement. The business is known for its inclusive and collaborative culture, with teams working across multiple regions worldwide. The organisation is purpose-driven, values innovation, and invests heavily in its people, offering a stable and supportive environment with long-term career opportunities. Your new role As Sales Coordinator, you will join the Sales Operations function, providing vital administrative and operational support to regional sales teams across APAC and other global territories. This is not a sales role and carries no sales targets; instead, it focuses on coordination, communication, and process management. You will support Sales Engineers by managing orders from receipt through to shipping, maintaining accurate system updates, and acting as a key point of contact for internal teams, distributors, and customers worldwide. The role includes liaising with production and shipping teams in Belfast to resolve any logistical challenges and ensure a smooth customer experience. This position is office-based in Belfast, with full onsite attendance for the first six months, transitioning to one day per week remote thereafter. The role is full-time (37.5 hours), with flexible start and finish times between 7am-7pm, core hours of 9:30am-4:30pm, and an early finish at 1pm on Fridays. What you'll need to succeed To be successful in this role, you will bring strong administrative skills and confidence communicating with a wide range of stakeholders. You'll be organised, detail-focused, and comfortable working in a fast-paced, cross-functional environment. Key requirements include: A minimum of 5 GCSEs including English and Maths (A-C) or NVQ Level 2 in Business Administration (or equivalent)At least 2 years' experience in a Sales, Manufacturing, Supply Chain, or similar environmentExperience working cross-functionally with internal and external stakeholdersStrong customer-focused communication skillsConfidence using Microsoft Office and internal systems/databasesAn understanding of sales order and fulfilment processesA positive attitude, willingness to engage with others, and a proactive approach to problem-solving What you'll get in return In return, you'll receive a competitive salary of £26,536.32, alongside a comprehensive and flexible benefits package designed to support your health, wellbeing, career development, and work-life balance. Benefits include:Private medical insurance for you and your dependentsMental health and wellbeing support programmesEmployer pension contribution of 6%Income protection, life assurance, and accident insurance187.5 holiday hours plus 9 customary holidaysEarly finish on FridaysEnhanced maternity, paternity, and family leave benefitsFunded training, development programmes, and support for professional qualificationsShare incentive plan, cycle-to-work scheme, tech purchase and car salary exchange optionsFree onsite parking and employee discount schemesTwo paid volunteering days per yearThis is a permanent role with an ASAP start, offering stability, global exposure, and the opportunity to be part of a supportive, high-performing team. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
May 20, 2026
Full time
Sales Coordination and Administration, Permanent, £26,536.32 Your new company You will be joining a global, market-leading organisation operating at the forefront of scientific and technological advancement. The business is known for its inclusive and collaborative culture, with teams working across multiple regions worldwide. The organisation is purpose-driven, values innovation, and invests heavily in its people, offering a stable and supportive environment with long-term career opportunities. Your new role As Sales Coordinator, you will join the Sales Operations function, providing vital administrative and operational support to regional sales teams across APAC and other global territories. This is not a sales role and carries no sales targets; instead, it focuses on coordination, communication, and process management. You will support Sales Engineers by managing orders from receipt through to shipping, maintaining accurate system updates, and acting as a key point of contact for internal teams, distributors, and customers worldwide. The role includes liaising with production and shipping teams in Belfast to resolve any logistical challenges and ensure a smooth customer experience. This position is office-based in Belfast, with full onsite attendance for the first six months, transitioning to one day per week remote thereafter. The role is full-time (37.5 hours), with flexible start and finish times between 7am-7pm, core hours of 9:30am-4:30pm, and an early finish at 1pm on Fridays. What you'll need to succeed To be successful in this role, you will bring strong administrative skills and confidence communicating with a wide range of stakeholders. You'll be organised, detail-focused, and comfortable working in a fast-paced, cross-functional environment. Key requirements include: A minimum of 5 GCSEs including English and Maths (A-C) or NVQ Level 2 in Business Administration (or equivalent)At least 2 years' experience in a Sales, Manufacturing, Supply Chain, or similar environmentExperience working cross-functionally with internal and external stakeholdersStrong customer-focused communication skillsConfidence using Microsoft Office and internal systems/databasesAn understanding of sales order and fulfilment processesA positive attitude, willingness to engage with others, and a proactive approach to problem-solving What you'll get in return In return, you'll receive a competitive salary of £26,536.32, alongside a comprehensive and flexible benefits package designed to support your health, wellbeing, career development, and work-life balance. Benefits include:Private medical insurance for you and your dependentsMental health and wellbeing support programmesEmployer pension contribution of 6%Income protection, life assurance, and accident insurance187.5 holiday hours plus 9 customary holidaysEarly finish on FridaysEnhanced maternity, paternity, and family leave benefitsFunded training, development programmes, and support for professional qualificationsShare incentive plan, cycle-to-work scheme, tech purchase and car salary exchange optionsFree onsite parking and employee discount schemesTwo paid volunteering days per yearThis is a permanent role with an ASAP start, offering stability, global exposure, and the opportunity to be part of a supportive, high-performing team. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
Job Title Senior UX Researcher - Store Experience (Cash Management) Location London / UK Based Remuneration 550- 650 per day (via Umbrella Company) Contract Details Temporary, 6 months, Full Time Responsibilities Research Ownership & Delivery Own and lead UX research for the cash management and handling programme, with support from a Senior Research Lead. Develop a deep understanding of current cash handling processes used by store colleagues. Identify user groups, roles, motivations, and constraints related to cash systems. Map out end-to-end cash management journeys in their existing state ("as-is"). Insight & Impact Identify strengths and weaknesses in current cash management tooling and processes. Surface user needs, pain points, and job-to-be-done insights to inform the design of a new in-house system. Deliver structured, evidence-based findings that directly inform UX design, product decisions, and system architecture. Collaboration Work closely with UX Designers, Product Managers, Engineers, and Data teams. Partner with design and product leadership to ensure research insights are embedded in decision-making. Help teams balance business constraints with colleague needs. Ways of Working Scope, plan, and conduct qualitative research, including contextual inquiry and in-store observations. Conduct interviews with store colleagues, journey mapping, and usability testing as necessary. Communicate insights clearly and efficiently to a wide range of stakeholders. The Opportunity Join our client in a pivotal role as a Senior UX Researcher, where you will support a vital cash management transformation programme impacting store colleagues across the UK. With an ambitious shift to an in-house cash management system, your insights will guide the design and implementation of this change. This hands-on, field-based position requires collaboration with store operations and will involve time spent in-store conducting research. About You Essential Experience Senior-level UX Research experience with complex digital products. Strong background in qualitative research and mixed-method approaches. Proven ability to translate real-world behaviors into clear insights and recommendations. Experience influencing design and product direction in an agile environment. Highly Desirable Experience in retail, logistics, or frontline environments. Exposure to cash handling, payments, or operational systems. Strong understanding of software as part of end-to-end service design. Experience working within large enterprise organizations. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities , and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Due to the high volume of applications we receive, we are unable to respond to everyone individually. If you do not hear from us within 48 hours of applying, please assume that your application has been unsuccessful on this occasion.
May 20, 2026
Contractor
Job Title Senior UX Researcher - Store Experience (Cash Management) Location London / UK Based Remuneration 550- 650 per day (via Umbrella Company) Contract Details Temporary, 6 months, Full Time Responsibilities Research Ownership & Delivery Own and lead UX research for the cash management and handling programme, with support from a Senior Research Lead. Develop a deep understanding of current cash handling processes used by store colleagues. Identify user groups, roles, motivations, and constraints related to cash systems. Map out end-to-end cash management journeys in their existing state ("as-is"). Insight & Impact Identify strengths and weaknesses in current cash management tooling and processes. Surface user needs, pain points, and job-to-be-done insights to inform the design of a new in-house system. Deliver structured, evidence-based findings that directly inform UX design, product decisions, and system architecture. Collaboration Work closely with UX Designers, Product Managers, Engineers, and Data teams. Partner with design and product leadership to ensure research insights are embedded in decision-making. Help teams balance business constraints with colleague needs. Ways of Working Scope, plan, and conduct qualitative research, including contextual inquiry and in-store observations. Conduct interviews with store colleagues, journey mapping, and usability testing as necessary. Communicate insights clearly and efficiently to a wide range of stakeholders. The Opportunity Join our client in a pivotal role as a Senior UX Researcher, where you will support a vital cash management transformation programme impacting store colleagues across the UK. With an ambitious shift to an in-house cash management system, your insights will guide the design and implementation of this change. This hands-on, field-based position requires collaboration with store operations and will involve time spent in-store conducting research. About You Essential Experience Senior-level UX Research experience with complex digital products. Strong background in qualitative research and mixed-method approaches. Proven ability to translate real-world behaviors into clear insights and recommendations. Experience influencing design and product direction in an agile environment. Highly Desirable Experience in retail, logistics, or frontline environments. Exposure to cash handling, payments, or operational systems. Strong understanding of software as part of end-to-end service design. Experience working within large enterprise organizations. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities , and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Due to the high volume of applications we receive, we are unable to respond to everyone individually. If you do not hear from us within 48 hours of applying, please assume that your application has been unsuccessful on this occasion.
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.
Clear progression path with full support and development Hybrid working (2/3 days in the office per week) No weekend or evening work requirement Mainly office based with occasional travel to site Immediate start National Telecommunications Organisation seeking a Graduate Property Acquisition Surveyor to work as part of a team delivering future networks As a Graduate Property Acquisition Surveyor, you will work effectively as part of a multi-disciplined team working to achieve the various acquisition objectives of the project and/or client. With training, you will learn to build effective relationships with key stakeholders, ensuring the acquisition objectives are completed within the timescale and parameters dictated by Clients Key Performance Indicators (KPIs). You will also have the opportunity to work with other disciplines including Planning, Design and Construction to obtain a thorough knowledge of the project to ensure acquisition is contributing to the overall success of the project WHAT YOU CAN EXPECT TO LEARN Progressing site instructions for Clients from inception to site completion. Instructions may include new search and acquisition, negotiating upgrades & assignments or decommissioning negotiations with the assistance of other Site Acquisition / Land Acquisition / Property Consultants. Agreeing property rights on new and existing agreements including market rentals, additional equipment rights, frequency restrictions, assignments & early termination Providing high-quality, professional acquisition advice to both internal and external stakeholders Working closely with other Project Managers, Property Consultants, Project Engineers & other key stakeholders Undertaking investigation, prepare & submit reports on suitable sites for client consideration Agreeing suitable terms with site provider or their agent, reaching agreement within the client s (or our internal) parameters & KPIs Identifying suitable back up options (if any), should the preferred option not proceed Co-ordinating & attend Multi-site visits (MSVs) with both internal & external stakeholders PERSON SPECIFICATIONS Excellent communication skills both verbal & written Ability to analyse data/information, interpret & report on results or findings Strong commercial awareness & business acumen Flexible & professional approach to work
May 20, 2026
Full time
Clear progression path with full support and development Hybrid working (2/3 days in the office per week) No weekend or evening work requirement Mainly office based with occasional travel to site Immediate start National Telecommunications Organisation seeking a Graduate Property Acquisition Surveyor to work as part of a team delivering future networks As a Graduate Property Acquisition Surveyor, you will work effectively as part of a multi-disciplined team working to achieve the various acquisition objectives of the project and/or client. With training, you will learn to build effective relationships with key stakeholders, ensuring the acquisition objectives are completed within the timescale and parameters dictated by Clients Key Performance Indicators (KPIs). You will also have the opportunity to work with other disciplines including Planning, Design and Construction to obtain a thorough knowledge of the project to ensure acquisition is contributing to the overall success of the project WHAT YOU CAN EXPECT TO LEARN Progressing site instructions for Clients from inception to site completion. Instructions may include new search and acquisition, negotiating upgrades & assignments or decommissioning negotiations with the assistance of other Site Acquisition / Land Acquisition / Property Consultants. Agreeing property rights on new and existing agreements including market rentals, additional equipment rights, frequency restrictions, assignments & early termination Providing high-quality, professional acquisition advice to both internal and external stakeholders Working closely with other Project Managers, Property Consultants, Project Engineers & other key stakeholders Undertaking investigation, prepare & submit reports on suitable sites for client consideration Agreeing suitable terms with site provider or their agent, reaching agreement within the client s (or our internal) parameters & KPIs Identifying suitable back up options (if any), should the preferred option not proceed Co-ordinating & attend Multi-site visits (MSVs) with both internal & external stakeholders PERSON SPECIFICATIONS Excellent communication skills both verbal & written Ability to analyse data/information, interpret & report on results or findings Strong commercial awareness & business acumen Flexible & professional approach to work
Role: Senior Mobile Interaction Designer Location: London (Hybrid) Duration: 12 Months Day rate: 600 Inside IR35 Minimum 5 years UK residency required Key Responsibilities Design clear, accessible, and user-centred interaction flows across complex end-to-end services Create mobile-first experiences across iOS and Android platforms Work closely with service designers, researchers, developers, and product teams to shape user journeys and design decisions Mobile Prototyping Create high-fidelity interactive mobile prototypes to demonstrate interactions, gestures, transitions, and system behaviours Use prototyping tools and lightweight code to simulate complex user flows and interactions Support testing, feasibility discussions, and collaboration with engineering teams Accessibility and Government Standards Design in line with NHS and (url removed) Service Standards Ensure all designs meet WCAG 2.2 AA accessibility standards and inclusive design principles Contribute across discovery, alpha, beta, and live delivery phases within agile multidisciplinary teams Key experience required: Strong interaction design experience across complex digital services Advanced mobile prototyping skills Experience designing for iOS and Android platforms Experience working within NHS or (url removed) service standards Strong accessibility and inclusive design knowledge Experience working in agile multidisciplinary teams
May 20, 2026
Contractor
Role: Senior Mobile Interaction Designer Location: London (Hybrid) Duration: 12 Months Day rate: 600 Inside IR35 Minimum 5 years UK residency required Key Responsibilities Design clear, accessible, and user-centred interaction flows across complex end-to-end services Create mobile-first experiences across iOS and Android platforms Work closely with service designers, researchers, developers, and product teams to shape user journeys and design decisions Mobile Prototyping Create high-fidelity interactive mobile prototypes to demonstrate interactions, gestures, transitions, and system behaviours Use prototyping tools and lightweight code to simulate complex user flows and interactions Support testing, feasibility discussions, and collaboration with engineering teams Accessibility and Government Standards Design in line with NHS and (url removed) Service Standards Ensure all designs meet WCAG 2.2 AA accessibility standards and inclusive design principles Contribute across discovery, alpha, beta, and live delivery phases within agile multidisciplinary teams Key experience required: Strong interaction design experience across complex digital services Advanced mobile prototyping skills Experience designing for iOS and Android platforms Experience working within NHS or (url removed) service standards Strong accessibility and inclusive design knowledge Experience working in agile multidisciplinary teams
Job Title : Full Stack Software Engineer (Robotic Systems) Salary Expectation : £80,000 - £90,000 (Depending on Experience) Location : UK (Remote) Note : Only candidates with permanent, unrestricted UK working rights will be considered, as visa sponsorship is not offered for this position. Overview : Zenovo is partnering with an innovative company developing advanced autonomous robotic systems to find a Full-Stack Software Engineer. This is a fully remote opportunity within the UK. You will play a key role in building the software that powers intelligent machines and their user experiences, working across web, mobile, HMIs, and internal tools that support system control and operations. This position suits an engineer who enjoys working across the full stack in a fast-paced environment and has a strong interest in autonomy, robotics, and AI. Job Responsibilities: Design and build responsive web and mobile experiences for end users. Develop intuitive interfaces for operators and remote supervision, integrating teleoperation, navigation data, and safety features. Create and maintain dashboards and front-end systems that support operational workflows and data-driven decision-making. Develop and manage scalable backend services, including APIs, databases, and real-time data pipelines. Collaborate with AI and autonomy teams to embed advanced models into user-facing products and tools. Work closely with cross-functional teams and take ownership of features from concept through to deployment. Required Skills & Experience: 5+ Years Full-Stack experience across modern front-end frameworks (React, Vue, Svelte, etc.) and backend technologies (Node.js, Python/FastAPI, Go, microservices, SQL/NoSQL). A strong portfolio of shipped products demonstrating high-quality UI/UX, performance, and maintainable code (GitHub or demos encouraged). Experience with AI-assisted development tools such as Claude Code, OpenAI Codex, CodeRabbit, Aikido, v0, or similar, along with familiarity using AI-enhanced IDEs (e.g. VS Code with Copilot, Cursor, Antigravity) and an openness to adopting new productivity tools. Experience designing and consuming REST/GraphQL APIs, working with real-time data systems (WebSockets, Kafka, MQTT), and deploying applications to cloud infrastructure. Ability to write clean, testable, and maintainable code within a collaborative environment, with a solid understanding of CI/CD and DevOps practices. Strong problem-solving skills, self-direction, and enthusiasm for learning about robotics, autonomous systems, and heavy equipment domains. To find out more, please apply with your latest CV!
May 20, 2026
Full time
Job Title : Full Stack Software Engineer (Robotic Systems) Salary Expectation : £80,000 - £90,000 (Depending on Experience) Location : UK (Remote) Note : Only candidates with permanent, unrestricted UK working rights will be considered, as visa sponsorship is not offered for this position. Overview : Zenovo is partnering with an innovative company developing advanced autonomous robotic systems to find a Full-Stack Software Engineer. This is a fully remote opportunity within the UK. You will play a key role in building the software that powers intelligent machines and their user experiences, working across web, mobile, HMIs, and internal tools that support system control and operations. This position suits an engineer who enjoys working across the full stack in a fast-paced environment and has a strong interest in autonomy, robotics, and AI. Job Responsibilities: Design and build responsive web and mobile experiences for end users. Develop intuitive interfaces for operators and remote supervision, integrating teleoperation, navigation data, and safety features. Create and maintain dashboards and front-end systems that support operational workflows and data-driven decision-making. Develop and manage scalable backend services, including APIs, databases, and real-time data pipelines. Collaborate with AI and autonomy teams to embed advanced models into user-facing products and tools. Work closely with cross-functional teams and take ownership of features from concept through to deployment. Required Skills & Experience: 5+ Years Full-Stack experience across modern front-end frameworks (React, Vue, Svelte, etc.) and backend technologies (Node.js, Python/FastAPI, Go, microservices, SQL/NoSQL). A strong portfolio of shipped products demonstrating high-quality UI/UX, performance, and maintainable code (GitHub or demos encouraged). Experience with AI-assisted development tools such as Claude Code, OpenAI Codex, CodeRabbit, Aikido, v0, or similar, along with familiarity using AI-enhanced IDEs (e.g. VS Code with Copilot, Cursor, Antigravity) and an openness to adopting new productivity tools. Experience designing and consuming REST/GraphQL APIs, working with real-time data systems (WebSockets, Kafka, MQTT), and deploying applications to cloud infrastructure. Ability to write clean, testable, and maintainable code within a collaborative environment, with a solid understanding of CI/CD and DevOps practices. Strong problem-solving skills, self-direction, and enthusiasm for learning about robotics, autonomous systems, and heavy equipment domains. To find out more, please apply with your latest CV!
Cyber Security Consultant - Prisma Access Location: UK (Remote / Hybrid) Contract Length: 12 months IR35 Status: Outside IR35 83zero are partnered with a global organisation delivering a large-scale secure network and cloud security transformation programme . As part of this, we are looking for an experienced Cyber Security Consultant with strong Prisma Access deployment experience to support the design, implementation, and optimisation of modern SASE solutions. This is a senior, hands-on consulting role suited to someone who has delivered enterprise-scale Prisma Access deployments and is comfortable operating in complex environments. The Role You will take ownership of the technical delivery of Prisma Access and Palo Alto SASE solutions , working closely with architects, engineers, and key stakeholders. Key Responsibilities Lead the design and deployment of Prisma Access solutions Deliver SASE and Zero Trust architectures aligned to best practice Integrate Prisma Access with existing Palo Alto technologies (NGFW, Panorama) Support migrations from legacy networks to cloud-delivered security models Provide technical leadership, documentation, and knowledge transfer Troubleshoot complex issues and optimise performance and security posture Work closely with stakeholders to ensure successful project delivery Required Experience & Skills Proven hands-on Prisma Access deployment experience (this is essential) Strong background across Palo Alto Networks technologies Experience delivering within enterprise environments Strong understanding of: SASE architectures Cloud security and network transformation End-to-end delivery within a consulting environment Comfortable engaging with stakeholders and owning delivery Desirable Palo Alto certifications (PCNSE, PCNSA or similar) Experience across large-scale transformation programmes Exposure to broader SASE and cloud security vendors
May 20, 2026
Contractor
Cyber Security Consultant - Prisma Access Location: UK (Remote / Hybrid) Contract Length: 12 months IR35 Status: Outside IR35 83zero are partnered with a global organisation delivering a large-scale secure network and cloud security transformation programme . As part of this, we are looking for an experienced Cyber Security Consultant with strong Prisma Access deployment experience to support the design, implementation, and optimisation of modern SASE solutions. This is a senior, hands-on consulting role suited to someone who has delivered enterprise-scale Prisma Access deployments and is comfortable operating in complex environments. The Role You will take ownership of the technical delivery of Prisma Access and Palo Alto SASE solutions , working closely with architects, engineers, and key stakeholders. Key Responsibilities Lead the design and deployment of Prisma Access solutions Deliver SASE and Zero Trust architectures aligned to best practice Integrate Prisma Access with existing Palo Alto technologies (NGFW, Panorama) Support migrations from legacy networks to cloud-delivered security models Provide technical leadership, documentation, and knowledge transfer Troubleshoot complex issues and optimise performance and security posture Work closely with stakeholders to ensure successful project delivery Required Experience & Skills Proven hands-on Prisma Access deployment experience (this is essential) Strong background across Palo Alto Networks technologies Experience delivering within enterprise environments Strong understanding of: SASE architectures Cloud security and network transformation End-to-end delivery within a consulting environment Comfortable engaging with stakeholders and owning delivery Desirable Palo Alto certifications (PCNSE, PCNSA or similar) Experience across large-scale transformation programmes Exposure to broader SASE and cloud security vendors
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 are looking for a motivated junior developer to join a growing technology team. This is an excellent opportunity for someone with 1-2 years' experience who is eager to build their skills in Salesforce development or front-end/back-end development. What you'll be doing: Assisting in the design, development, and support of applications Working with Salesforce or web technologies to deliver solutions Writing clean, efficient code in Java, JavaScript, HTML and CSS Supporting senior developers on projects and learning best practices Debugging, testing, and maintaining existing systems Skills & experience we're looking for: 1-2 years' development experience Familiarity with Salesforce development OR strong skills in Java/JavaScript, HTML, CSS Understanding of coding best practices and eagerness to learn new technologies Good problem-solving skills and attention to detail Ability to work collaboratively as part of a team Nice to have (not essential): Exposure to Salesforce or any other CRM systems Knowledge of modern frameworks or libraries (e.g. React, Angular, Node.js) Why apply? Career progression into Salesforce development or full-stack engineering Supportive team environment with mentoring Opportunity to grow technical skills across multiple platforms 49923MSR3 INDMANS The Portfolio Group are acting on behalf of our client in recruiting for this position.
May 20, 2026
Full time
We are looking for a motivated junior developer to join a growing technology team. This is an excellent opportunity for someone with 1-2 years' experience who is eager to build their skills in Salesforce development or front-end/back-end development. What you'll be doing: Assisting in the design, development, and support of applications Working with Salesforce or web technologies to deliver solutions Writing clean, efficient code in Java, JavaScript, HTML and CSS Supporting senior developers on projects and learning best practices Debugging, testing, and maintaining existing systems Skills & experience we're looking for: 1-2 years' development experience Familiarity with Salesforce development OR strong skills in Java/JavaScript, HTML, CSS Understanding of coding best practices and eagerness to learn new technologies Good problem-solving skills and attention to detail Ability to work collaboratively as part of a team Nice to have (not essential): Exposure to Salesforce or any other CRM systems Knowledge of modern frameworks or libraries (e.g. React, Angular, Node.js) Why apply? Career progression into Salesforce development or full-stack engineering Supportive team environment with mentoring Opportunity to grow technical skills across multiple platforms 49923MSR3 INDMANS The Portfolio Group are acting on behalf of our client in recruiting for this position.
Data Architect 6-Month contract - Inside IR35 - up to 700 per day London based - hybrid working - 2/3 days onsite Candidates must hold current and active SC Clearance We are seeking a Data Architect to lead the design and delivery of secure, cloud-based data platforms for the client. The role combines architectural strategy with delivery oversight - shaping target-state architectures while ensuring they are implemented pragmatically within regulated, security-conscious environments. This position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms - and who values clarity, governance and technical rigour. Candidates must hold active SC clearance . What experience you'll bring: Leadership: Recent experience as a Lead Data Architect / Data Solutions Architect or equivalent senior role. Ability to build relationships and operate at a senior stakeholder level with clients. Demonstrated ownership of end-to-end data platform design and delivery. Experience operating in consulting, systems integration, or delivery partner roles. Experience working within the Government sector strongly preferred. Modern and Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Azure data systems (must have). Oracle / AWS experience is ideal. Knowledge of Databricks and Snowflake is ideal. Experience of large-scale data migration programmes. Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data Fabric principles (applied pragmatically, not theoretically). Data product-oriented design approaches. You understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management Experience leading a discovery phase for a data transformation programme. Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement Ability to influence architectural direction at senior stakeholder level. Clear and structured communicator - able to explain trade-offs and risks. Experience leading and mentoring architects and engineers. Comfortable operating within programme governance structures. Familiarity with Agile delivery models (SAFe, Scrum, Kanban). Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
May 20, 2026
Contractor
Data Architect 6-Month contract - Inside IR35 - up to 700 per day London based - hybrid working - 2/3 days onsite Candidates must hold current and active SC Clearance We are seeking a Data Architect to lead the design and delivery of secure, cloud-based data platforms for the client. The role combines architectural strategy with delivery oversight - shaping target-state architectures while ensuring they are implemented pragmatically within regulated, security-conscious environments. This position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms - and who values clarity, governance and technical rigour. Candidates must hold active SC clearance . What experience you'll bring: Leadership: Recent experience as a Lead Data Architect / Data Solutions Architect or equivalent senior role. Ability to build relationships and operate at a senior stakeholder level with clients. Demonstrated ownership of end-to-end data platform design and delivery. Experience operating in consulting, systems integration, or delivery partner roles. Experience working within the Government sector strongly preferred. Modern and Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Azure data systems (must have). Oracle / AWS experience is ideal. Knowledge of Databricks and Snowflake is ideal. Experience of large-scale data migration programmes. Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data Fabric principles (applied pragmatically, not theoretically). Data product-oriented design approaches. You understand where traditional patterns remain appropriate - and where modern approaches add measurable value. Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data Management Experience leading a discovery phase for a data transformation programme. Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement Ability to influence architectural direction at senior stakeholder level. Clear and structured communicator - able to explain trade-offs and risks. Experience leading and mentoring architects and engineers. Comfortable operating within programme governance structures. Familiarity with Agile delivery models (SAFe, Scrum, Kanban). Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Technical Consultant About Verelogic IT Solutions Verelogic IT Solutions is a leading provider of IT services and products, delivering innovative, tailored solutions to organisations of all sizes. Our expertise spans managed IT services, cloud computing, cybersecurity, and more-helping clients stay secure, resilient, and at the forefront of technology. We take a customer-focused approach and build trusted, long-term partnerships that support measurable business outcomes. Role Overview We are seeking a Technical Consultant to join Verelogic IT Solutions. The successful candidate will play a key role in delivering a range of client projects, from discovery through to implementation, while supporting the ongoing delivery of services to our customers. Key Responsibilities: Collaborate with the IT Solutions team to deliver client projects, including infrastructure assessments, solution design, and implementation. Support requirements gathering and technical discovery workshops, translating business needs into clear technical deliverables. Design, configure, and implement solutions across on-premises and cloud environments in line with agreed architecture and best practice. Provide technical troubleshooting and root-cause analysis, escalating and coordinating with internal teams and third-party vendors as required. Produce high-quality technical documentation, including designs, implementation plans, runbooks, and handover materials. Communicate progress, risks, and dependencies clearly to stakeholders, contributing to project plans and status reporting. Apply security-first principles and relevant standards, ensuring solutions are compliant, resilient, and aligned with client policies. Contribute to continuous improvement by sharing knowledge, developing reusable assets, and supporting junior team members where appropriate. Qualifications/Skills: A minimum of 2 years' experience in backend engineering, AI automation, or complex systems integration Strong proficiency in Python and/or JavaScript Experience developing internal tools or developer platforms Strong data-handling capability, including SQL, data structures, and ETL concepts Excellent attention to detail, with the ability to provide clear, concise technical feedback on complex system behaviour Proven experience in a client-facing technical role, with the ability to explain complex concepts to non-technical stakeholders Strong troubleshooting skills across Windows Server and desktop environments; Linux experience is an advantage Solid understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs, VPNs, routing and switching) Experience with Microsoft 365 and cloud services (e.g., Azure, Entra ID/Azure AD, Intune, Exchange Online, SharePoint) Familiarity with automation and tooling such as PowerShell, Azure DevOps/Git, and monitoring/management platforms Ability to manage workload across multiple projects, prioritising effectively and working to agreed timelines and budgets Understanding of IT service management and change control practices (ITIL knowledge desirable) Relevant certifications are desirable (e.g., Microsoft Azure/M365, CompTIA Network+/Security+, Cisco, ITIL) Benefits: Opportunity to apply your technical expertise within a dynamic, innovative team. The ability to make a meaningful impact on client success by supporting the achievement of business objectives. A supportive, collaborative culture that encourages continuous learning and professional development. A competitive salary package.
May 20, 2026
Full time
Technical Consultant About Verelogic IT Solutions Verelogic IT Solutions is a leading provider of IT services and products, delivering innovative, tailored solutions to organisations of all sizes. Our expertise spans managed IT services, cloud computing, cybersecurity, and more-helping clients stay secure, resilient, and at the forefront of technology. We take a customer-focused approach and build trusted, long-term partnerships that support measurable business outcomes. Role Overview We are seeking a Technical Consultant to join Verelogic IT Solutions. The successful candidate will play a key role in delivering a range of client projects, from discovery through to implementation, while supporting the ongoing delivery of services to our customers. Key Responsibilities: Collaborate with the IT Solutions team to deliver client projects, including infrastructure assessments, solution design, and implementation. Support requirements gathering and technical discovery workshops, translating business needs into clear technical deliverables. Design, configure, and implement solutions across on-premises and cloud environments in line with agreed architecture and best practice. Provide technical troubleshooting and root-cause analysis, escalating and coordinating with internal teams and third-party vendors as required. Produce high-quality technical documentation, including designs, implementation plans, runbooks, and handover materials. Communicate progress, risks, and dependencies clearly to stakeholders, contributing to project plans and status reporting. Apply security-first principles and relevant standards, ensuring solutions are compliant, resilient, and aligned with client policies. Contribute to continuous improvement by sharing knowledge, developing reusable assets, and supporting junior team members where appropriate. Qualifications/Skills: A minimum of 2 years' experience in backend engineering, AI automation, or complex systems integration Strong proficiency in Python and/or JavaScript Experience developing internal tools or developer platforms Strong data-handling capability, including SQL, data structures, and ETL concepts Excellent attention to detail, with the ability to provide clear, concise technical feedback on complex system behaviour Proven experience in a client-facing technical role, with the ability to explain complex concepts to non-technical stakeholders Strong troubleshooting skills across Windows Server and desktop environments; Linux experience is an advantage Solid understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs, VPNs, routing and switching) Experience with Microsoft 365 and cloud services (e.g., Azure, Entra ID/Azure AD, Intune, Exchange Online, SharePoint) Familiarity with automation and tooling such as PowerShell, Azure DevOps/Git, and monitoring/management platforms Ability to manage workload across multiple projects, prioritising effectively and working to agreed timelines and budgets Understanding of IT service management and change control practices (ITIL knowledge desirable) Relevant certifications are desirable (e.g., Microsoft Azure/M365, CompTIA Network+/Security+, Cisco, ITIL) Benefits: Opportunity to apply your technical expertise within a dynamic, innovative team. The ability to make a meaningful impact on client success by supporting the achievement of business objectives. A supportive, collaborative culture that encourages continuous learning and professional development. A competitive salary package.
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Developer, Applications Development
May 20, 2026
Full time
TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Software Developer to join our growing team. Day to Day You'll Be: Design and build reliable backend systems and infrastructure tooling Use TDD to write high-quality, maintainable code and build out automated test suites Own reliability, observability, and performance of key services Collaborate with clients to understand requirements, debug issues, and propose solutions Drive improvements to system architecture, automation, and deployment processes Mentor junior developers and contribute to a strong engineering culture Take ownership of problems-investigate, iterate, and fix Essential Skills & Experience: Strong programming skills in Node.js or similar backend language Understanding of TDD and a focus on automated testing Comfort working directly with clients to gather requirements and debug issues Strong problem-solving skills and a desire to understand the root cause of complex issues Clear communicator-both in writing and on calls Desirable Skills & Experience: Experience owning backend systems in production environments Experience with Cloud Platforms AWS or GCP Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) Job Title Developer, Applications Development
Working within a cutting-edge R&D environment, the Test Engineer will play a central role in validating advanced hardware systems across challenging operating conditions. This role focuses on designing and executing test programmes across a diverse hardware stack, supporting the development of robust, high-performance systems. You will work closely with multidisciplinary teams to ensure products meet rigorous reliability, safety and environmental standards. The Test Engineer will be responsible for: Designing and operating bespoke test setups for a range of hardware systems. Executing structural, thermal, vibration and fatigue testing aligned to internal and industry standards. Operating and maintaining laboratory equipment such as environmental chambers, vibration tables and data acquisition systems. Analysing test data and translating results into clear design improvements and recommendations. Supporting the development and setup of internal testing facilities and infrastructure. Collaborating with engineering teams to support rapid development and iteration cycles. The Test Engineer will have: A degree in Mechanical Engineering or a related discipline. At least 3 years of hands-on experience in prototyping, testing or laboratory environments. Experience designing and executing hardware test systems and validation programmes. Familiarity with relevant testing standards (e.g. MIL STD, IP/IK, CE, UL) Strong understanding of environmental and structural testing methodologies. The ability to work independently and contribute effectively within a multidisciplinary team. This role is suited to a Test Engineer who enjoys working at the point where design meets real world performance. If that sounds like you, apply with your CV to learn more.
May 20, 2026
Full time
Working within a cutting-edge R&D environment, the Test Engineer will play a central role in validating advanced hardware systems across challenging operating conditions. This role focuses on designing and executing test programmes across a diverse hardware stack, supporting the development of robust, high-performance systems. You will work closely with multidisciplinary teams to ensure products meet rigorous reliability, safety and environmental standards. The Test Engineer will be responsible for: Designing and operating bespoke test setups for a range of hardware systems. Executing structural, thermal, vibration and fatigue testing aligned to internal and industry standards. Operating and maintaining laboratory equipment such as environmental chambers, vibration tables and data acquisition systems. Analysing test data and translating results into clear design improvements and recommendations. Supporting the development and setup of internal testing facilities and infrastructure. Collaborating with engineering teams to support rapid development and iteration cycles. The Test Engineer will have: A degree in Mechanical Engineering or a related discipline. At least 3 years of hands-on experience in prototyping, testing or laboratory environments. Experience designing and executing hardware test systems and validation programmes. Familiarity with relevant testing standards (e.g. MIL STD, IP/IK, CE, UL) Strong understanding of environmental and structural testing methodologies. The ability to work independently and contribute effectively within a multidisciplinary team. This role is suited to a Test Engineer who enjoys working at the point where design meets real world performance. If that sounds like you, apply with your CV to learn more.
Software Engineer Cambridge £55,000 Are you a Software Engineer who thrives on precision, structure, and seeing your work perform in real-world production environments? This is an opportunity for a Software Engineer to play a pivotal role in taking advanced technology from development into scalable manufacture. As a Software Engineer , you will benefit from: 23 days holiday + bank holidays Pension and life insurance Social events Growing company with opportunity to progress As a Software Engineer , your responsibilities will include: Developing and supporting software-driven automation and test solutions for new products Implementing design-for-test principles throughout the product development lifecycle Defining and maintaining processes for firmware programming, configuration, and calibration data handling Creating automated test processes to support scalable, repeatable manufacturing Providing hands-on support during NPI builds, troubleshooting software and system-level issues Driving continuous improvement in production test speed and manufacturing readiness As a Software Engineer , your experience will include: A Degree in Software Engineering or a related discipline Strong experience developing production test or process automation software Proven expertise in C# development using WPF and MVVM methodologies Experience working with software release processes and configuration control The ability to troubleshoot software interacting with embedded or hardware-integrated systems A methodical, detail-focused approach to documentation and controlled change environments If you're ready to take the next step in your career and see your software deliver measurable impact in production, we d love to hear from you. Apply today with an up-to-date CV or call Josh at Rubicon for more information.
May 20, 2026
Full time
Software Engineer Cambridge £55,000 Are you a Software Engineer who thrives on precision, structure, and seeing your work perform in real-world production environments? This is an opportunity for a Software Engineer to play a pivotal role in taking advanced technology from development into scalable manufacture. As a Software Engineer , you will benefit from: 23 days holiday + bank holidays Pension and life insurance Social events Growing company with opportunity to progress As a Software Engineer , your responsibilities will include: Developing and supporting software-driven automation and test solutions for new products Implementing design-for-test principles throughout the product development lifecycle Defining and maintaining processes for firmware programming, configuration, and calibration data handling Creating automated test processes to support scalable, repeatable manufacturing Providing hands-on support during NPI builds, troubleshooting software and system-level issues Driving continuous improvement in production test speed and manufacturing readiness As a Software Engineer , your experience will include: A Degree in Software Engineering or a related discipline Strong experience developing production test or process automation software Proven expertise in C# development using WPF and MVVM methodologies Experience working with software release processes and configuration control The ability to troubleshoot software interacting with embedded or hardware-integrated systems A methodical, detail-focused approach to documentation and controlled change environments If you're ready to take the next step in your career and see your software deliver measurable impact in production, we d love to hear from you. Apply today with an up-to-date CV or call Josh at Rubicon for more information.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Our client has an opportunity for a Production Test Engineer to join their team on a contract basis for 12 months. You will play a vital role in supporting testing and diagnostics of electrical/electronic sub-systems and circuit cards during the production phase of the product lifecycle. You will use your experience to provide technical support to the manufacturing test capability, to ensure programme targets are met to agreed time, cost and quality requirements. Role : Production Test Engineer - Live Build Location : Stevenage - fully onsite Hours : 37 per week Hourly Rate : 32- 36 per hour via Umbrella, inside IR35 Clearance : SC required before starting, UK Eyes Only due to project What you'll be doing: You will be working with a small team of dedicated engineers in a fast-paced but friendly and inclusive manufacturing environment, carrying out the following: Providing test engineering support to operators on the shopfloor, including supporting the introduction of new test equipment. Testing and diagnosing complex electrical/electronic systems, sub-assemblies and circuit cards down to component level. Generating test specifications, operator instructions and technical reports - based on higher-level requirements and information. Promptly identifying remedial and corrective actions to allow Manufacturing to continue in line with the programme, following production test failures. Supporting meetings with Quality and Operations to provide status updates on Test Engineering actions and investigations. Requirements : Essential: Minimum HNC level of Engineering qualifications or equivalent. Good understanding of digital and analogue electronic measurement and test principles, and fault diagnosis techniques, with demonstrable experience down to component level. Awareness of electrical/electronic sub-system and system design, integration and test principles. Good verbal and written communication skills, including generation of test specifications, operator instructions and technical reports. Ability to plan and organise one's work according to assigned priorities. Advantageous: Knowledge of RF and Microwave technology at the subsystem level. Experience in operating manual and automated test equipment in an Electronics Manufacturing environment. If you are interested in applying for this position and you meet the requirements, please apply immediately! Line Up Aviation is a specialist aviation and aerospace recruitment company that has been operating all over the world for more than 30 years. We work with some of the industry's best-known companies and pride ourselves with working to the highest standard of service supported by an ingrained culture of honesty and integrity. " on Twitter for all our latest vacancies, news and pictures from our busy UK Head Office. Interact with us using the tag at any time! Thank you for your follow!"
May 20, 2026
Contractor
Our client has an opportunity for a Production Test Engineer to join their team on a contract basis for 12 months. You will play a vital role in supporting testing and diagnostics of electrical/electronic sub-systems and circuit cards during the production phase of the product lifecycle. You will use your experience to provide technical support to the manufacturing test capability, to ensure programme targets are met to agreed time, cost and quality requirements. Role : Production Test Engineer - Live Build Location : Stevenage - fully onsite Hours : 37 per week Hourly Rate : 32- 36 per hour via Umbrella, inside IR35 Clearance : SC required before starting, UK Eyes Only due to project What you'll be doing: You will be working with a small team of dedicated engineers in a fast-paced but friendly and inclusive manufacturing environment, carrying out the following: Providing test engineering support to operators on the shopfloor, including supporting the introduction of new test equipment. Testing and diagnosing complex electrical/electronic systems, sub-assemblies and circuit cards down to component level. Generating test specifications, operator instructions and technical reports - based on higher-level requirements and information. Promptly identifying remedial and corrective actions to allow Manufacturing to continue in line with the programme, following production test failures. Supporting meetings with Quality and Operations to provide status updates on Test Engineering actions and investigations. Requirements : Essential: Minimum HNC level of Engineering qualifications or equivalent. Good understanding of digital and analogue electronic measurement and test principles, and fault diagnosis techniques, with demonstrable experience down to component level. Awareness of electrical/electronic sub-system and system design, integration and test principles. Good verbal and written communication skills, including generation of test specifications, operator instructions and technical reports. Ability to plan and organise one's work according to assigned priorities. Advantageous: Knowledge of RF and Microwave technology at the subsystem level. Experience in operating manual and automated test equipment in an Electronics Manufacturing environment. If you are interested in applying for this position and you meet the requirements, please apply immediately! Line Up Aviation is a specialist aviation and aerospace recruitment company that has been operating all over the world for more than 30 years. We work with some of the industry's best-known companies and pride ourselves with working to the highest standard of service supported by an ingrained culture of honesty and integrity. " on Twitter for all our latest vacancies, news and pictures from our busy UK Head Office. Interact with us using the tag at any time! Thank you for your follow!"
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Job Title: CNC Programmer Location: Leicester Shift: Days, Monday to Thursday Salary: From 19.00 per hour Benefits: Permanent position Career progression 4-day working week Free parking The Company: A well-established East Midlands business providing engineering solutions through the design and manufacturing of products for the Automotive and Industrial sectors . The CNC Programmer Role: Offline programming, setting, and operating CNC machines Proficient with HyperMill software Quality checking work Working from engineering drawings The Candidate: Previous experience in offline programming with HyperMill Ability to quality check work using verniers, calipers, and micrometres Ability to read and interpret engineering drawings Apply: To apply for the CNC Programmer position, click the button below, and one of our qualified consultants will be in touch.
May 20, 2026
Full time
Job Title: CNC Programmer Location: Leicester Shift: Days, Monday to Thursday Salary: From 19.00 per hour Benefits: Permanent position Career progression 4-day working week Free parking The Company: A well-established East Midlands business providing engineering solutions through the design and manufacturing of products for the Automotive and Industrial sectors . The CNC Programmer Role: Offline programming, setting, and operating CNC machines Proficient with HyperMill software Quality checking work Working from engineering drawings The Candidate: Previous experience in offline programming with HyperMill Ability to quality check work using verniers, calipers, and micrometres Ability to read and interpret engineering drawings Apply: To apply for the CNC Programmer position, click the button below, and one of our qualified consultants will be in touch.
