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.
Mar 16, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 16, 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: Senior Manufacturing Engineer Location: Portsmouth - On site only Salary: up to £56,000 (depending on skills and experience) What you'll be doing: Responsible for converting the Engineering Design intent into Manufacturing Engineering data (sometimes complex ) for Operations use Where appropriate, checks and approves the Teams' work ready for release to Operations Contribute to the management of the Quality and SHE Systems, for Manufacturing Engineering processes and documentation e.g. calling up safe methods of working Build effective internal and cross functional relationships in order to achieve overall Project requirements Identify the manpower and activities required to meet a set programme of work Support justifications/business cases that seek to improve business performance, and thus provide optimised return on capital investment Be responsible for the correct and efficient use of Lean Tools and Techniques (A3's, 5S, Value Stream Mapping, Root Cause Analysis etc .).Be responsible for developing their depth and breadth of Manufacturing Engineering knowledge and skills Your skills and experiences: Professional knowledge of relevant Engineering standards (including SHE regulations) Experience in performing route cause analysis and reporting on countermeasures HNC or equivalent, plus substantial experience in a Manufacturing Engineering role OR Foundation degree with experience in a Manufacturing Engineering role CAD and tool design experience preferred Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Manufacturing Engineering Team - Internal team: Our Manufacturing Engineering team is responsible for developing, implementing, and governing capable methods for manufacture, assembly, disassembly, and repair including verification processes that meet customer and business requirements for Safety, Quality, Cost, and Delivery throughout the entire product lifecycle. The team ensures all manufacturing methods fully align with and support the original design intent. Within the team, Senior Manufacturing Engineers play a key role in leading major Manufacturing Engineering projects. They apply their technical expertise and experience to ensure the successful delivery of manufacturing solutions into Operations, guaranteeing that design intent is achieved. Senior team members also provide guidance, coaching, and leadership to others, fostering continuous improvement and professional development across the group Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date 20th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Mar 16, 2026
Full time
Job Title: Senior Manufacturing Engineer Location: Portsmouth - On site only Salary: up to £56,000 (depending on skills and experience) What you'll be doing: Responsible for converting the Engineering Design intent into Manufacturing Engineering data (sometimes complex ) for Operations use Where appropriate, checks and approves the Teams' work ready for release to Operations Contribute to the management of the Quality and SHE Systems, for Manufacturing Engineering processes and documentation e.g. calling up safe methods of working Build effective internal and cross functional relationships in order to achieve overall Project requirements Identify the manpower and activities required to meet a set programme of work Support justifications/business cases that seek to improve business performance, and thus provide optimised return on capital investment Be responsible for the correct and efficient use of Lean Tools and Techniques (A3's, 5S, Value Stream Mapping, Root Cause Analysis etc .).Be responsible for developing their depth and breadth of Manufacturing Engineering knowledge and skills Your skills and experiences: Professional knowledge of relevant Engineering standards (including SHE regulations) Experience in performing route cause analysis and reporting on countermeasures HNC or equivalent, plus substantial experience in a Manufacturing Engineering role OR Foundation degree with experience in a Manufacturing Engineering role CAD and tool design experience preferred Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Manufacturing Engineering Team - Internal team: Our Manufacturing Engineering team is responsible for developing, implementing, and governing capable methods for manufacture, assembly, disassembly, and repair including verification processes that meet customer and business requirements for Safety, Quality, Cost, and Delivery throughout the entire product lifecycle. The team ensures all manufacturing methods fully align with and support the original design intent. Within the team, Senior Manufacturing Engineers play a key role in leading major Manufacturing Engineering projects. They apply their technical expertise and experience to ensure the successful delivery of manufacturing solutions into Operations, guaranteeing that design intent is achieved. Senior team members also provide guidance, coaching, and leadership to others, fostering continuous improvement and professional development across the group Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date 20th March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
Mar 16, 2026
Full time
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
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.
Mar 16, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 16, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 16, 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.
Financial Controller - Hull - Up to £65,000 & £8200 Car Allowance & Bonus We are excited to be partnering with a fast-growing, successful manufacturing SME business in East Yorkshire to recruit a Financial Controller . This is a fantastic opportunity for an ambitious finance professional who wants to play a key role in driving performance and influencing strategic decisions within a dynamic and forward-thinking organisation. As an employee-owned business , the company prides itself on a collaborative culture where people are empowered to contribute ideas, challenge thinking, and share in the success they help create. With continued growth and investment, the business is now looking to strengthen its finance function with a commercially focused leader who can turn insight into action. The Role Reporting directly to the Finance Director, the Financial Controller will work closely with senior leaders and operational teams across the business. You will transform operational and financial data into clear insight that supports better decisions, improves efficiency, and drives profitability. This is a highly visible role where finance is embedded in the business - not just reporting numbers, but actively shaping performance. Key responsibilities include: Partner with operational and commercial leaders to provide financial insight that drives business performance Analyse key manufacturing cost drivers including scrap, cycle time, downtime, material usage and energy consumption Translate complex data into clear, actionable insight that non-finance teams can understand and act on Model the financial impact of operational improvements and investment decisions Support pricing, tenders and customer profitability analysis Develop rolling forecasts and scenario models to support strategic planning Attend operational meetings to provide financial clarity and guide decision making Lead and develop a small finance team, building capability and commercial awareness Ensure robust financial governance including management accounts, costing accuracy and financial controls About You We are looking for a commercially curious and proactive finance professional who enjoys understanding how a business really works and influencing decisions through insight. Be ACA / ACCA / CIMA qualified Have experience in a manufacturing or engineering environment Possess strong commercial acumen and an understanding of operational cost drivers Enjoy working closely with operational teams and building strong relationships across the business Be confident communicating financial information to both shop-floor teams and senior leadership Have experience managing or developing finance team members Be highly analytical with strong modelling and Excel skills (Power BI experience desirable) Why Join? This is a genuinely exciting opportunity to join a growing, ambitious business where finance plays a central role in operational and commercial decision-making. Company car / allowance and bonus plus matched pension contributions, BUPA healthcare and wellbeing packages Work closely with senior leadership and influence key decisions Drive improvements that directly impact profitability and performance Be part of an employee-owned organisation with a strong culture of shared success Join a business with clear growth ambitions and investment in its future If you are looking for a role where you can combine financial expertise with commercial insight and operational involvement , we would love to hear from you. If you are interested in this great Financial Controller role, please apply now. Chase & Holland acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. We specialise in Finance, Supply Chain, HR and IT recruitment and comfortably service Yorkshire, Derbyshire, Nottinghamshire, Leicestershire, Staffordshire and Lincolnshire marketplaces.
Mar 16, 2026
Full time
Financial Controller - Hull - Up to £65,000 & £8200 Car Allowance & Bonus We are excited to be partnering with a fast-growing, successful manufacturing SME business in East Yorkshire to recruit a Financial Controller . This is a fantastic opportunity for an ambitious finance professional who wants to play a key role in driving performance and influencing strategic decisions within a dynamic and forward-thinking organisation. As an employee-owned business , the company prides itself on a collaborative culture where people are empowered to contribute ideas, challenge thinking, and share in the success they help create. With continued growth and investment, the business is now looking to strengthen its finance function with a commercially focused leader who can turn insight into action. The Role Reporting directly to the Finance Director, the Financial Controller will work closely with senior leaders and operational teams across the business. You will transform operational and financial data into clear insight that supports better decisions, improves efficiency, and drives profitability. This is a highly visible role where finance is embedded in the business - not just reporting numbers, but actively shaping performance. Key responsibilities include: Partner with operational and commercial leaders to provide financial insight that drives business performance Analyse key manufacturing cost drivers including scrap, cycle time, downtime, material usage and energy consumption Translate complex data into clear, actionable insight that non-finance teams can understand and act on Model the financial impact of operational improvements and investment decisions Support pricing, tenders and customer profitability analysis Develop rolling forecasts and scenario models to support strategic planning Attend operational meetings to provide financial clarity and guide decision making Lead and develop a small finance team, building capability and commercial awareness Ensure robust financial governance including management accounts, costing accuracy and financial controls About You We are looking for a commercially curious and proactive finance professional who enjoys understanding how a business really works and influencing decisions through insight. Be ACA / ACCA / CIMA qualified Have experience in a manufacturing or engineering environment Possess strong commercial acumen and an understanding of operational cost drivers Enjoy working closely with operational teams and building strong relationships across the business Be confident communicating financial information to both shop-floor teams and senior leadership Have experience managing or developing finance team members Be highly analytical with strong modelling and Excel skills (Power BI experience desirable) Why Join? This is a genuinely exciting opportunity to join a growing, ambitious business where finance plays a central role in operational and commercial decision-making. Company car / allowance and bonus plus matched pension contributions, BUPA healthcare and wellbeing packages Work closely with senior leadership and influence key decisions Drive improvements that directly impact profitability and performance Be part of an employee-owned organisation with a strong culture of shared success Join a business with clear growth ambitions and investment in its future If you are looking for a role where you can combine financial expertise with commercial insight and operational involvement , we would love to hear from you. If you are interested in this great Financial Controller role, please apply now. Chase & Holland acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. We specialise in Finance, Supply Chain, HR and IT recruitment and comfortably service Yorkshire, Derbyshire, Nottinghamshire, Leicestershire, Staffordshire and Lincolnshire marketplaces.
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.
Mar 16, 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.
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
Mar 16, 2026
Full time
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
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.
Mar 16, 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.
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
Mar 16, 2026
Full time
Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. 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. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production. Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom. Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices. Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build. Bring a passion for automation and simplifying processes to optimise feature delivery Take an active role in key team activities such as planning, estimation and refinement. Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman. What you'll bring: Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications. Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications. Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset. Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing. Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run. Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus. Experience working with the NoSQL databases i.e. MongoDB would be beneficial. Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines. Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation. Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. 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. Please note that due to the nature of this role, it incorporates a 45 hour working week. 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.
Job Position: Senior Geo-environmental Engineer Location: Crawley Salary: 38,000 - 45,000 (depending on experience) We are looking for a highly skilled Senior Geo-environmental Engineer who is based near Crawley to join a ground investigation consultancy who are winning exciting projects across the UK. You will have the chance to mentor a team and play your part in technically challenging projects, with huge progression opportunities available. Your Senior geo-environmental engineer duties will include mentoring talented junior geotechnical and geo-environmental engineers, reviewing reports, involvement in business development/project management and building strong client relationships. Our ideal senior geo-environmental consultant will have extensive contaminated land experience and ideally be chartered (full support to chartership is available). This crawley based senior geo-environmental engineer position offers: Generous salary 38,000 - 45,000 (based on experience) Hybrid working Excellent pension scheme Support to become chartered Annual Bonus Flexible benefits Career progression Team management Client relationship building Please get in touch if you think this senior geo-environmental engineer position is suitable for you and you have the full right to work permanently in the UK. Interested in this or other geo roles? Please do not hesitate to contact Joel Bullen on (url removed). We have many more vacancies available on our website. This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position.
Mar 16, 2026
Full time
Job Position: Senior Geo-environmental Engineer Location: Crawley Salary: 38,000 - 45,000 (depending on experience) We are looking for a highly skilled Senior Geo-environmental Engineer who is based near Crawley to join a ground investigation consultancy who are winning exciting projects across the UK. You will have the chance to mentor a team and play your part in technically challenging projects, with huge progression opportunities available. Your Senior geo-environmental engineer duties will include mentoring talented junior geotechnical and geo-environmental engineers, reviewing reports, involvement in business development/project management and building strong client relationships. Our ideal senior geo-environmental consultant will have extensive contaminated land experience and ideally be chartered (full support to chartership is available). This crawley based senior geo-environmental engineer position offers: Generous salary 38,000 - 45,000 (based on experience) Hybrid working Excellent pension scheme Support to become chartered Annual Bonus Flexible benefits Career progression Team management Client relationship building Please get in touch if you think this senior geo-environmental engineer position is suitable for you and you have the full right to work permanently in the UK. Interested in this or other geo roles? Please do not hesitate to contact Joel Bullen on (url removed). We have many more vacancies available on our website. This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position.
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.
Mar 16, 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.
Our client is a leading specialist financial services provider currently building a technology hub in Manchester. They are currently seeking an experienced Lead Development Specialist to join their IT Development Team. About the Role We are seeking a technically strong and strategically minded development professional to provide leadership, direction, and hands-on expertise in designing and delivering insurance-based technology solutions. This role spans modern engineering practices, Legacy system support, and close collaboration with Pricing teams, including experience working with Rulebook to ensure alignment with business logic and actuarial models. Key Responsibilities Provide technical leadership to deliver high-quality, scalable, and secure application solutions. Translate organisational vision into modern, effective technical delivery using contemporary development practices. Develop detailed technical specifications and play a significant role in Ops/IT Roadmap initiatives. Write testable, efficient, and scalable code while setting engineering standards across the team. Lead code reviews, ensure adherence to quality standards, and oversee unit and integration testing. Support architectural design, analyse risks, and act as a technical liaison across business and IT stakeholders. Provide 2nd and 3rd-level technical support and oversee production deployments alongside Production Support. Mentor junior and offshore developers, promoting best-practice development and continuous improvement. Skills, Knowledge & Experience Extensive experience across the system development life cycle and application development methodologies. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently, multitask effectively, and maintain exceptional attention to detail. Knowledge of finance and insurance data models, including integration with actuarial pricing solutions. Technical Expertise (Must Have) XML, C#, ASP.NET, MVC MS SQL Server (T-SQL, views, stored procedures, functions) Cloud experience: GCP, Azure, or AWS SOA and web service development SharePoint development Additional Useful Skills Microsoft Reporting Services Rulebook or Hyperexponential pricing platform experience Python development We welcome applications from experienced development professionals who are passionate about technology leadership, innovation, and delivering high-quality solutions within a dynamic and collaborative environment.
Mar 16, 2026
Full time
Our client is a leading specialist financial services provider currently building a technology hub in Manchester. They are currently seeking an experienced Lead Development Specialist to join their IT Development Team. About the Role We are seeking a technically strong and strategically minded development professional to provide leadership, direction, and hands-on expertise in designing and delivering insurance-based technology solutions. This role spans modern engineering practices, Legacy system support, and close collaboration with Pricing teams, including experience working with Rulebook to ensure alignment with business logic and actuarial models. Key Responsibilities Provide technical leadership to deliver high-quality, scalable, and secure application solutions. Translate organisational vision into modern, effective technical delivery using contemporary development practices. Develop detailed technical specifications and play a significant role in Ops/IT Roadmap initiatives. Write testable, efficient, and scalable code while setting engineering standards across the team. Lead code reviews, ensure adherence to quality standards, and oversee unit and integration testing. Support architectural design, analyse risks, and act as a technical liaison across business and IT stakeholders. Provide 2nd and 3rd-level technical support and oversee production deployments alongside Production Support. Mentor junior and offshore developers, promoting best-practice development and continuous improvement. Skills, Knowledge & Experience Extensive experience across the system development life cycle and application development methodologies. Strong analytical, problem-solving, communication, and stakeholder-management skills. Ability to work independently, multitask effectively, and maintain exceptional attention to detail. Knowledge of finance and insurance data models, including integration with actuarial pricing solutions. Technical Expertise (Must Have) XML, C#, ASP.NET, MVC MS SQL Server (T-SQL, views, stored procedures, functions) Cloud experience: GCP, Azure, or AWS SOA and web service development SharePoint development Additional Useful Skills Microsoft Reporting Services Rulebook or Hyperexponential pricing platform experience Python development We welcome applications from experienced development professionals who are passionate about technology leadership, innovation, and delivering high-quality solutions within a dynamic and collaborative environment.
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.
Mar 16, 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.
Senior Third-line Engineer (Apple MDM) Hybrid (Central London) £53,000 - £60,000 (depending on experience) We're supporting a well-regarded London institution with a large, growing Apple estate (thousands of Macs and hundreds of iPads, focused on staff devices). The End User Computing team is expanding and needs a hands-on senior engineer to own and elevate the Apple platform - someone who thrives on deep technical ownership, mentoring a small team, and delivering seamless user experiences in a collaborative, knowledge-sharing environment. This is a true third-line role: final escalation point, MDM architecture, packaging/deployment leadership What you'll be doing Act as the go-to expert and escalation point for all complex Mac-related issues and escalations Own the Jamf Pro MDM environment: configuration, policies, deployments, updates, ADE/ABM, and ongoing optimisation for a smooth, secure user experience Lead packaging, scripting (heavy bash/shell), and deployment processes; mentor and guide junior team members Troubleshoot and resolve advanced Apple device problems across macOS/iOS/iPadOS Build and maintain integrations with Microsoft tools (Platform SSO, extensions, Office 365 config/support, compliance flows) Collaborate across IT teams: share knowledge, document processes, train 1st/2nd line, contribute to continual improvement Proactively monitor queues/SLAs, drive reliability, and bring ideas to enhance the platform What we're looking for Essential: Jamf 200 certification (or equivalent deep proven expertise; Jamf 300/400 a bonus) Strong hands-on experience managing enterprise Apple MDM (Jamf Pro focus: ADE, software deployment, API automation, configuration profiles) Proficiency in bash/shell scripting and macOS application packaging (Jamf Composer, autoPKG, etc.) Solid understanding of Microsoft 365/endpoint integrations and compliance tools Proven track record in senior-level Apple support/escalation in enterprise or large-scale environments (higher education, corporate, or similar) Methodical troubleshooting, attention to detail, proactive mindset Excellent communication (written/spoken) and commitment to teamwork, equality, diversity & inclusion Desirable: Jamf Protect/security experience Familiarity with 802.1X/network auth automation Exposure to scientific/developer tools (e.g., Homebrew, Docker, Git, SPSS/R) Microsoft Intune knowledge
Mar 16, 2026
Full time
Senior Third-line Engineer (Apple MDM) Hybrid (Central London) £53,000 - £60,000 (depending on experience) We're supporting a well-regarded London institution with a large, growing Apple estate (thousands of Macs and hundreds of iPads, focused on staff devices). The End User Computing team is expanding and needs a hands-on senior engineer to own and elevate the Apple platform - someone who thrives on deep technical ownership, mentoring a small team, and delivering seamless user experiences in a collaborative, knowledge-sharing environment. This is a true third-line role: final escalation point, MDM architecture, packaging/deployment leadership What you'll be doing Act as the go-to expert and escalation point for all complex Mac-related issues and escalations Own the Jamf Pro MDM environment: configuration, policies, deployments, updates, ADE/ABM, and ongoing optimisation for a smooth, secure user experience Lead packaging, scripting (heavy bash/shell), and deployment processes; mentor and guide junior team members Troubleshoot and resolve advanced Apple device problems across macOS/iOS/iPadOS Build and maintain integrations with Microsoft tools (Platform SSO, extensions, Office 365 config/support, compliance flows) Collaborate across IT teams: share knowledge, document processes, train 1st/2nd line, contribute to continual improvement Proactively monitor queues/SLAs, drive reliability, and bring ideas to enhance the platform What we're looking for Essential: Jamf 200 certification (or equivalent deep proven expertise; Jamf 300/400 a bonus) Strong hands-on experience managing enterprise Apple MDM (Jamf Pro focus: ADE, software deployment, API automation, configuration profiles) Proficiency in bash/shell scripting and macOS application packaging (Jamf Composer, autoPKG, etc.) Solid understanding of Microsoft 365/endpoint integrations and compliance tools Proven track record in senior-level Apple support/escalation in enterprise or large-scale environments (higher education, corporate, or similar) Methodical troubleshooting, attention to detail, proactive mindset Excellent communication (written/spoken) and commitment to teamwork, equality, diversity & inclusion Desirable: Jamf Protect/security experience Familiarity with 802.1X/network auth automation Exposure to scientific/developer tools (e.g., Homebrew, Docker, Git, SPSS/R) Microsoft Intune knowledge
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Technical Programme Manager About the role At Capital One, a strong emphasis on technology enabled change is vital as a large proportion of our business strategy is enabled through technology related change. As a Technical Program Manager (TPM), we're looking for someone that can help us build world class technical solutions, to ultimately enable Capital One customers to have incredible experiences. You will play a key role in defining and delivering the future of Capital One architecture. In this role you'll not only be working with a dynamic tech team, but also collaborate with cross functional teams across the business to help define product roadmaps and ultimately future strategy. In addition to the technical programs, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organisation what a great TPM can achieve. We're always thinking about what's next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That's where you come in. What you'll do Lead programs that deliver on critical business goals, overseeing the full lifecycle including planning, execution and delivery Bring cross functional resources together to tackle a wide range of technical business problems Contribute to the evolution and the effective day to day running of the TPM and wider change management function, leveraging your industry knowledge and experience to help build a best in class TPM function Inspire and influence others to focus on solving clear customer problems and deliver with a customer-first mindset. Provide clear communication and coordination between delivery teams and wider business stakeholders Adapt your methodology and style to suit different scenarios Challenge and stress testing plans, scope and delivery approaches Deal with ambiguity and navigating effectively when processes are not clearly defined or understood Identify ways to improve overall efficiency and ways of working for the TPM and delivery teams What we're looking for Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice Proven experience of delivering change in a fast paced environment, utilising a variety of delivery methodologies including Agile and MSP Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Excellent problem solving skills, providing structured thinking and understanding to problems, transforming them into actionable work for teams, coupled with an unwavering desire to deliver for our customers and business Proven experience of managing cross team dependencies, risks and issues You are confident in leading through ambiguity, in a fast paced, changing environment Strong relationship building and collaboration skills to steer and guide teams and stakeholders up to Director/Sponsor level. A credible track record of improving the effectiveness of delivery Proven experience of managing cross team governance and reporting A passion for leading, coaching and nurturing the very best talent Comfortable working in a complex regulated environment (experience is desirable) Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you'll be based in our Nottingham office and expected to be in office 3 days a week. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be handsomely rewarded with a role contributing to the long term strategy for an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit: We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Mar 16, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Technical Programme Manager About the role At Capital One, a strong emphasis on technology enabled change is vital as a large proportion of our business strategy is enabled through technology related change. As a Technical Program Manager (TPM), we're looking for someone that can help us build world class technical solutions, to ultimately enable Capital One customers to have incredible experiences. You will play a key role in defining and delivering the future of Capital One architecture. In this role you'll not only be working with a dynamic tech team, but also collaborate with cross functional teams across the business to help define product roadmaps and ultimately future strategy. In addition to the technical programs, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organisation what a great TPM can achieve. We're always thinking about what's next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That's where you come in. What you'll do Lead programs that deliver on critical business goals, overseeing the full lifecycle including planning, execution and delivery Bring cross functional resources together to tackle a wide range of technical business problems Contribute to the evolution and the effective day to day running of the TPM and wider change management function, leveraging your industry knowledge and experience to help build a best in class TPM function Inspire and influence others to focus on solving clear customer problems and deliver with a customer-first mindset. Provide clear communication and coordination between delivery teams and wider business stakeholders Adapt your methodology and style to suit different scenarios Challenge and stress testing plans, scope and delivery approaches Deal with ambiguity and navigating effectively when processes are not clearly defined or understood Identify ways to improve overall efficiency and ways of working for the TPM and delivery teams What we're looking for Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice Proven experience of delivering change in a fast paced environment, utilising a variety of delivery methodologies including Agile and MSP Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Excellent problem solving skills, providing structured thinking and understanding to problems, transforming them into actionable work for teams, coupled with an unwavering desire to deliver for our customers and business Proven experience of managing cross team dependencies, risks and issues You are confident in leading through ambiguity, in a fast paced, changing environment Strong relationship building and collaboration skills to steer and guide teams and stakeholders up to Director/Sponsor level. A credible track record of improving the effectiveness of delivery Proven experience of managing cross team governance and reporting A passion for leading, coaching and nurturing the very best talent Comfortable working in a complex regulated environment (experience is desirable) Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you'll be based in our Nottingham office and expected to be in office 3 days a week. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be handsomely rewarded with a role contributing to the long term strategy for an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit: We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
The Role:Senior Electrical Engineering - Building ServicesYorkshire Region with Hybrid working - Leeds Base£45-£55k base salary, plus benefits Our client, a well established and leading nationally focused engineering building services organisation with a stellar track record is currently looking to appoint a senior electrical engineer to take responsibility for the successful delivery of electrical engineering services projects across a wide range of sectors including commercial, industrial, retail, healthcare, historic, education, retail and leisure, within both public and private domains and via traditional and design and build routes.Key Responsibilities: The delivery of electrical design solutions, technical innovation, the management of projects, mentoring graduates/apprentices and the performance of the developing project team. Lead and deliver electrical building services design packages. Manage projects from concept to completion, including design reviews and site inspections. Act as main point of contact for clients, architects and design teams. Coordinate with internal MEP, BIM and sustainability teams. Mentor junior engineers and contribute to technical development within the team. Ensure compliance with standards, regulations and sustainability targets. Produce calculations, reports, drawings and specifications to a high standard. Support business development through high quality delivery and client care.The Person:Technical Minimum 6-8 years' experience in building services consultancy. Strong knowledge of relevant British Standards, CIBSE guidelines, Part L, building regulations Proficient in electrical system design. Comfortable working with digital design tools (Revit experience beneficial but not essential). Capable of delivering coordinated MEP designs on multi disciplinary projectsClient & Team Facing. Strong communication and collaboration skills. Comfortable presenting ideas and discussing technical solutions with clients. Experience managing workloads and meeting deadlines. Ability to lead design teams and mentor junior staff.Desirable Chartered or working towards chartership (CEng / MCIBSE / MIET). Experience in low carbon design, building performance engineering or energy strategy. Exposure to complex sectors such as healthcare, education or laboratories.This is a fantastic opportunity to join a leading infrastructure engineering organisation at an exciting time of growth, with genuine opportunities for career development and progression over time. Alongside their competitive salary, they also offer a suite of generous benefits and flexible working arrangements. The role is based from their Leeds office, offering hybrid working, however travel to clients and other UK locations would be required.GEM Partnership are acting as an exclusive Employment Agency on this vacancy.
Mar 16, 2026
Full time
The Role:Senior Electrical Engineering - Building ServicesYorkshire Region with Hybrid working - Leeds Base£45-£55k base salary, plus benefits Our client, a well established and leading nationally focused engineering building services organisation with a stellar track record is currently looking to appoint a senior electrical engineer to take responsibility for the successful delivery of electrical engineering services projects across a wide range of sectors including commercial, industrial, retail, healthcare, historic, education, retail and leisure, within both public and private domains and via traditional and design and build routes.Key Responsibilities: The delivery of electrical design solutions, technical innovation, the management of projects, mentoring graduates/apprentices and the performance of the developing project team. Lead and deliver electrical building services design packages. Manage projects from concept to completion, including design reviews and site inspections. Act as main point of contact for clients, architects and design teams. Coordinate with internal MEP, BIM and sustainability teams. Mentor junior engineers and contribute to technical development within the team. Ensure compliance with standards, regulations and sustainability targets. Produce calculations, reports, drawings and specifications to a high standard. Support business development through high quality delivery and client care.The Person:Technical Minimum 6-8 years' experience in building services consultancy. Strong knowledge of relevant British Standards, CIBSE guidelines, Part L, building regulations Proficient in electrical system design. Comfortable working with digital design tools (Revit experience beneficial but not essential). Capable of delivering coordinated MEP designs on multi disciplinary projectsClient & Team Facing. Strong communication and collaboration skills. Comfortable presenting ideas and discussing technical solutions with clients. Experience managing workloads and meeting deadlines. Ability to lead design teams and mentor junior staff.Desirable Chartered or working towards chartership (CEng / MCIBSE / MIET). Experience in low carbon design, building performance engineering or energy strategy. Exposure to complex sectors such as healthcare, education or laboratories.This is a fantastic opportunity to join a leading infrastructure engineering organisation at an exciting time of growth, with genuine opportunities for career development and progression over time. Alongside their competitive salary, they also offer a suite of generous benefits and flexible working arrangements. The role is based from their Leeds office, offering hybrid working, however travel to clients and other UK locations would be required.GEM Partnership are acting as an exclusive Employment Agency on this vacancy.
Our client is a leading specialist financial services provider currently building a technology hub in Manchester. They are seeking an experienced IT Systems Architect to provide technical leadership and architectural direction across key technology programmes. About the Role The IT Systems Architect holds overall technical authority for one or more programmes or Agile Release Trains, ensuring technical alignment, architectural governance, and successful delivery of business and technical outcomes. Working closely with other technology teams, you will ensure that architectural outcomes are withing required guardrails, shaping the Architectural Runway, guiding implementation, and championing best-practice architecture across the organisation. This role requires deep expertise in SAFe/Agile architectural design, with the ability to operate flexibly within both Agile and Waterfall environments. Key Responsibilities Develop and continually refine the Architectural Runway, technical vision, and enabler epics for applications, data, and infrastructure. Influence programme roadmaps and backlogs, preparing architectural outputs for Program Increment planning. Promote and embed a scaled agility mindset, values, and practices across teams. Drive measurable delivery velocity, best-practice adoption, and effective implementation of new designs. Guide Developers, Engineers, BAs, BRDs, and Project Managers to ensure architectural alignment and technical coherence. Collaborate with Technical and Enterprise Architects to ensure adherence to technical standards, frameworks, and methodologies. Define and support requirements for system stability, technology upgrades, and pipeline improvements. Enforce technical guardrails through effective design governance. Skills, Knowledge & Experience Expert knowledge of enterprise workflow systems, distributed architecture, and communication architectures. Senior-level understanding of SDLC, architectural methodologies, and multi-platform environments Strong experience with web-based, service-based, and enterprise application architectures. Proven ability to manage code quality and ensure high technical standards. Deep understanding of SAFe/Agile, Waterfall delivery, and incremental architectural enablement. Excellent communication, coaching, negotiation, and stakeholder-management skills. Experience defining architectural roadmaps. Education & Technical Background Strong technical delivery experience, including architectural methodologies (eg, TOGAF). Architecture experience across platforms such as Java, .NET, Python, cloud environments, and tiered architectures. Experience with insurance or finance-based products preferred. Preferred certifications: ARCH, ASE, SDP. Experience with Jira, Confluence, and LucidSpark would be beneficial. This is an excellent opportunity for a seasoned IT Systems Architect to play a pivotal role in shaping enterprise-level solutions, driving architectural excellence, and contributing to the continued success of a global insurance organisation.
Mar 16, 2026
Full time
Our client is a leading specialist financial services provider currently building a technology hub in Manchester. They are seeking an experienced IT Systems Architect to provide technical leadership and architectural direction across key technology programmes. About the Role The IT Systems Architect holds overall technical authority for one or more programmes or Agile Release Trains, ensuring technical alignment, architectural governance, and successful delivery of business and technical outcomes. Working closely with other technology teams, you will ensure that architectural outcomes are withing required guardrails, shaping the Architectural Runway, guiding implementation, and championing best-practice architecture across the organisation. This role requires deep expertise in SAFe/Agile architectural design, with the ability to operate flexibly within both Agile and Waterfall environments. Key Responsibilities Develop and continually refine the Architectural Runway, technical vision, and enabler epics for applications, data, and infrastructure. Influence programme roadmaps and backlogs, preparing architectural outputs for Program Increment planning. Promote and embed a scaled agility mindset, values, and practices across teams. Drive measurable delivery velocity, best-practice adoption, and effective implementation of new designs. Guide Developers, Engineers, BAs, BRDs, and Project Managers to ensure architectural alignment and technical coherence. Collaborate with Technical and Enterprise Architects to ensure adherence to technical standards, frameworks, and methodologies. Define and support requirements for system stability, technology upgrades, and pipeline improvements. Enforce technical guardrails through effective design governance. Skills, Knowledge & Experience Expert knowledge of enterprise workflow systems, distributed architecture, and communication architectures. Senior-level understanding of SDLC, architectural methodologies, and multi-platform environments Strong experience with web-based, service-based, and enterprise application architectures. Proven ability to manage code quality and ensure high technical standards. Deep understanding of SAFe/Agile, Waterfall delivery, and incremental architectural enablement. Excellent communication, coaching, negotiation, and stakeholder-management skills. Experience defining architectural roadmaps. Education & Technical Background Strong technical delivery experience, including architectural methodologies (eg, TOGAF). Architecture experience across platforms such as Java, .NET, Python, cloud environments, and tiered architectures. Experience with insurance or finance-based products preferred. Preferred certifications: ARCH, ASE, SDP. Experience with Jira, Confluence, and LucidSpark would be beneficial. This is an excellent opportunity for a seasoned IT Systems Architect to play a pivotal role in shaping enterprise-level solutions, driving architectural excellence, and contributing to the continued success of a global insurance organisation.
