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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards 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 09, 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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: - Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards 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 09, 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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's 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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's 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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's 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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's 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 09, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows. Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms. Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production. Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams. Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation. Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed. Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs. Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact. What you'll bring Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments. Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact. Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services. Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms. Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies. Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required. A strong engineering mindset focused on code quality, performance, observability, and continuous improvement. Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders. Team overview We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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: Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. OR 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's 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 09, 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. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows. Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms. Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production. Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams. Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation. Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed. Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs. Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact. What you'll bring Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments. Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact. Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services. Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms. Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies. Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required. A strong engineering mindset focused on code quality, performance, observability, and continuous improvement. Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders. Team overview We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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: Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. OR 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's 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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 09, 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. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services. Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments. Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable. Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability. Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles. Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement. Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code. High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments. Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues. Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines. Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines. Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows. Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity. Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes. An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: Building and evolving the automation frameworks and pipelines used by multiple cross functional teams. Enabling fast, safe releases to production environments. Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. 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 salo 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.
