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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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 role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers 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. 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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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 role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers 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. 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 role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers 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. 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 role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers 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. 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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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 best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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 Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus or 2 days a week onsite in Livingston campus. The role is being offered with a fixed-term contract of 24 months. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. Finance Delivery is providing the back office Financial services to the organisation, with the delivery through Global Finance Operations. The Global Process Ownership function is accountable for the transformation of end-to-end services in Purchase to Pay (P2P), Order to cash (O2C) and Account to Report (A2R), as well as policy ownership for key policies such as the delegation of authority and Travel and Expenses. Finance Delivery is providing the back office Financial services to the organisation, with the delivery through Global Finance Operations. The Global Process Ownership function is accountable for the transformation of end-to-end services in Purchase to Pay (P2P), Order to cash (O2C) and Account to Report (A2R), as well as policy ownership for key policies such as the delegation of authority and Travel and Expenses. What you'll do: • Deliver P2P Business as Usual (BAU) process changes and user support to a high standard, ensuring a positive end user experience, • Ensure P2P process risks and controls are understood, monitored, and compliant with policy, • Act as a business SME for digital and AI-enabled initiatives, ensuring solutions are practical and adopted effectively, • Define and monitor KPIs to measure process performance, adoption, and compliance, • Support UAT, business readiness, and go-live activities to enable successful implementation of BAU change requests., • Contribute to continuous improvement of processes, guidance, and knowledge materials.What you'll bring:, • Strong understanding of the P2P end-to-end process, • Strong stakeholder management across all levels of the organisation, high EQ and outstanding communication skills, • Strong project management skills and an ability to demonstrate the importance of change management and value realisation, • Curious, data driven and desire to consistently improve (and the ability to balance this with the pressure of BAU for the organisation), • Experience in, or an interest in, supporting digital and automation initiatives within Finance or Procurement, • Experience supporting digital, automation, or AI-enabled initiatives within Finance or Procurement environments, • Experience in supporting UAT and business readiness activities within system or process changes, • Good understanding of controls and compliance, with the ability to apply them within processes, • Strong stakeholder engagement and communication skills, with the ability to explain complex processes in a clear and practical way, • Ideally experience with SAP Ariba and SAP.Team overview: Finance Delivery We enable Sky to succeed by ensuring we are a cost effective, scalable operation delivering great service in an agile and responsive way. Sky Finance has a deserved reputation for being at the heart of Sky's success - making things Simple by Design, finding the Win-Win for our business and customers, and working as One-Team. The rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks. Here's a taster: • " Access to free NOW, for streaming all your favourite shows, • A generous pension package, • Private healthcare, • Discounted mobile and broadband " How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: 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. 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. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSkyon social media. A job you love to talk about. 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.

Lead the Way as a Store Manager at Sally Europe! Are you a sales-driven leader with a passion for retail and inspiring teams? If you thrive in a dynamic, target-oriented environment and are ready to take your career to vibrant new heights, we want you on our team! Your Role:As a Store Manager, you’ll lead by example, driving sales and motivating your team to consistently exceed targets. You’ll deliver an exceptional customer experience while managing store operations with confidence and efficiency. What You’ll Do: • Sales Leadership: Proven track record of delivering results in a sales-driven retail environment., • Team Management: Inspire, coach, and develop your team to achieve individual and collective success., • Customer Focus: Create memorable shopping experiences that drive repeat business., • Retail Operations: Oversee inventory, merchandising, and store processes with precision., • A strong background in retail management with a passion for hitting and exceeding targets., • Exceptional leadership, communication, and interpersonal skills., • A love for delivering outstanding customer service., • Commercial acumen to create and execute impactful action plans., • Competitive salary + performance-based bonuses., • 23 days holiday (increasing with tenure)., • Generous employee discounts on our extensive product range., • Professional development and growth opportunities. At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. But we’re more than just a retailer—we’re a global force in beauty. As part of Sally Beauty Holdings, we connect retail customers and salon professionals with top-tier products and inspiring solutions. From Sinelco to Salon Services, Pro-Duo, and beyond, Sally Europe is your home for professional hair and beauty brands. We don’t just sell products—we empower confidence and celebrate beauty, helping our customers uncover their potential every day. Our Values Drive Us: • Be Yourself: Celebrate individuality., • Be Bold: Embrace innovation and ambition., • Be an Inspiration: Spark confidence in others., • Be an Owner: Lead with pride and purpose. Apply today and let’s add colour to the world together! We welcome applications from everyone and are committed to fostering an inclusive workplace where diversity is celebrated. As part of our culture to 'add colour to the world,' we ensure fair treatment for all, regardless of age, disability, gender, marital status, pregnancy, race, religion, or sexual orientation.?

Business Manager | Beauty Retail | Kingston upon Thames | Up to £34k + Commission Zachary Daniels Recruitment are excited to be partnering with one of the UK's fastest growing premium beauty brands, now seeking a standout Business Manager to lead their counter in Kingston upon Thames. Our client is passionate about empowering customers to feel their best every day, while building long lasting rela... ZIPC1_UKTJ

Job Title - Aesthetics Practitioner Location - Chiswick & Clapham Hours of work - Full time The Harley Medical Group and sk:n clinics are now part of the same Group that owns Optical Express and ACES, two of the leading ophthalmology providers, dedicated to giving both private and NHS patients world class levels of service and clinical care. We are seeking an Aesthetic Practitioner to join our friendly, reliable and talented team at our Chiswick Clinic as well as working within our Clapham clinic. Please note candidates must be flexible with late shifts and Saturdays. The Role: As part of your role as beauty/laser Practitioner, you will be responsible for meeting and greeting your clients, supporting and advising them on suitable treatments and products available to them and carrying out a wide range of advanced treatments. With outstanding levels of customer service and a genuine care and passion, you will be supporting your clients gain and achieve greater self-confidence through better skin! You will also be supporting with reception, diary management, and general administration and retailing of products. Experience, Qualifications and Personal Qualities: • Qualified to Level 3 in Beauty Therapy (or equivalent), Level 4 is highly desirable., • A minimum of 1 years’ experience within either an Aesthetics, Day Spa, Beauty Counter or Salon environment., • Team player, with a positive can do attitude., • Passionate about giving great customer service., • Experience of working to sales targets and be happy to get involved with promotional activity, • You should be willing and able to work evenings and weekends. What we offer: We offer genuine opportunities for career progression within the group and we have a structured career path for Practitioners to become Senior and Advanced Practitioners. We are the UK’s market leader within the rapidly expanding Aesthetic and Cosmetic industry and proud to be the leading dermatology, laser and skin experts with decades of experience. Treating over 25,000 clients each months through our nationwide network of over 50 clinics, we have a truly recognisable brand which have been carefully built over 25 years on the foundations of efficiency, knowledge and trust. What's in it for you? • A competitive hourly rate plus industry leading bonuses and commission, • Free Laser Eye and Intraocular Lens Surgery, • Discounts on prescription eyewear and sunglasses, • Generous Optical Express family & friends discount, • 33* days annual leave FTE, • Extensive training in the life changing treatments that we offer, • Workplace Pension Scheme If this sounds like the career path you have been looking for, we look forward to hearing from you! Please apply now by uploading your CV. This is a fantastic opportunity to join a global organisation where you will have the opportunity to grow and develop within a professional working environment. Optical Express is an equal opportunities employer.

✂ About the House of Creed The House of Creed is an authentic, luxury perfume house dedicated to the creation of highly original artisan fragrances made from the finest perfume ingredients the world has to offer. ✂ About the role We are seeking for a Luxury Brand Ambassador for our Creed counter in Fenwick Kingston, with a passion for luxury, the drive to make a difference and the desire to shape the future of our business. This is a part-time role 2 days, 15 hours per week. ✂ Purpose of the role As a Luxury Brand Ambassador for the House of Creed, you play a pivotal role in upholding the brand's prestige and delivering an unparalleled customer experience. Your primary objective is to share knowledge and passion about our brand and products, drive sales, and maintain the highest standards of customer service. ✂ Key responsibilities Including but not limited to: ✂ Skills/Experiences desired • Exceptional communication and interpersonal skills., • Proven experience in luxury retail or a similar customer-facing role., • Passion for the luxury brand and a commitment to delivering an exceptional customer experience., • Goal-oriented with a track record of meeting and exceeding sales targets., • Ability to work effectively in a fast-paced environment., • Flexibility to work weekends and holidays as needed., • Passion for fragrance or beauty products is a plus. ✂ Why the House of Creed? Luxury Redefined: We do not just sell fragrances; we offer an unparalleled luxury experience that goes beyond expectations. Innovation: Be part of a team that thrives on pushing boundaries and creating scents that resonate with a diverse audience. Diversity and Inclusion: We celebrate differences and believe that a diverse team fosters creativity and innovation. Career Development: Whether you are in a retail role or part of the head office team, there are plentiful opportunities for professional development and career growth. ✂ Job Applicant Privacy Policy Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The House of Creed. Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager(s). The House of Creed is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If you feel this is the right opportunity for you, and you can demonstrate expertise in the above areas, we look forward to receiving your application. We very much value your interest in our company. Due to a high level of applications, we regret to only be able to contact candidates we feel are best suited for this role. Thank you for your understanding.

Business Manager | Beauty Retail | Kingston upon Thames | Up to £34k + Commission Zachary Daniels Recruitment are excited to be partnering with one of the UK's fastest growing premium beauty brands, now seeking a standout Business Manager to lead their counter in Kingston upon Thames. Yo

POSITION: Trainer (Beauty Therapist). Based in central London and already operating across the UK & USA, FACEGYM is now expanding as a franchise into the UK and India, bringing its pioneering facial fitness concept to new markets worldwide and redefining the future of beauty and wellness.

At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. About Us – Where Passion Meets Beauty!. But we’re more than just a retailer—we’re a global force in beauty.

About Us – Where Passion Meets Beauty! At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. But we’re more than just a retailer—we’re a global force in beauty. As part of Sally Beauty Holdings, we connect retail customers and

About Us – Where Passion Meets Beauty! At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. But we’re more than just a retailer—we’re a global force in beauty. As part of Sally Beauty Holdings, we connect retail customers and

About Us – Where Passion Meets Beauty! At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. But we’re more than just a retailer—we’re a global force in beauty. As part of Sally Beauty Holdings, we connect retail customers and

About Us – Where Passion Meets Beauty! At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. But we’re more than just a retailer—we’re a global force in beauty. As part of Sally Beauty Holdings, we connect retail customers and

About Us – Where Passion Meets Beauty! At Sally Beauty, part of Sally Europe, we’re the go-to destination for hair and beauty professionals across Europe. As part of Sally Beauty Holdings, we connect retail customers and salon professionals with top-tier products and inspiring solutions. From S

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