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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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

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. • Start Date: 23rd February 2026, • Salary: £25,120 per annum, • Site: Sky, 1 MacIntosh Rd, Livingston EH54 7BW, • Shifts: 37.5 hours per week (Working 4 or 5 days between the hours of 8:30am - 8pm including evenings and weekends)Join us as a Contact Centre Sales Advisor in our Livingston contact centre earning £25,120 per annum with incentives on top - you can earn an extra £4,900 on average by achieving targets. We operate a hybrid working pattern after training which allows colleagues to gain a work life balance with the opportunity to work from office and home for part of the week. In this role, you'll work in a fast-paced call centre, handling inbound calls from existing customers considering leaving Sky. You'll actively listen to understand their needs and provide the best possible solutions, ensuring they feel heard, valued, and appreciated. What you'll do: • Handle inbound calls from existing customers considering cancelling all or part of their Sky subscription., • Build strong connections through engaging conversations to understand their needs, address any concerns, and ensure they are offered the most suitable package., • Work in a target-based environment, • Work 37.5 hours p/wk Mon-Sun with varied set shift patterns available. Your set shift will be allocated at the offer stage and your preferences taken into account wherever possible. When our customers need us most, you'll work up to 5 hours extra per week (max 10 times per year) and bank this time to take back as extra time offTraining and Development: Training and Development is hugely important to us which is why we'll teach you all you need to know about our amazing products and how to deal with any challenge, no matter how big or small, so you can achieve your full potential as a Sales Advisor. At Sky, our comprehensive 7-week training program is designed to fully prepare new starters for their role. It begins with classroom-based sessions, where employees become familiar with the role, systems, and products. This is followed by time in our Academy, where they handle live customer calls under the guidance of a Role Model. Both the training and Academy sessions are conducted entirely face-to-face in the office, from Monday to Friday, 9am to 5pm. To ensure participants gain the most from the program, we ask that no holidays are taken during this period. What you'll bring: • Results-oriented with a strong enthusiasm for sales, • Exceptional at building rapport and connecting with people, • Skilled at identifying and addressing customer needs, • Creative in solving problems, • Eager to acquire new skills and knowledge The Benefits: There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. There really is something for everyone with our fantastic range of benefits. Here's a taster: Individual Lifestyle • Free Sky TV, along with discounted broadband, Sky Glass and mobile, • Cashback and discounts across hundreds of retailers, • Discounts and offers on Sky products for friends and familyHealth and wellbeing, • Private healthcare and Digital GP via Aviva, • Dental and other healthcare options, • Subsidised onsite gym and discounts on external gyms, • Cycle to work scheme Financial wellbeing, • Sky pension plan and Life Assurance, • Annual Sharesave scheme and long service awards Where you'll work: We're"based at Kirkton Campus"in Livingston"and home to over 2000 colleagues. We have free onsite"parking"and operate a free"shuttle"bus service from Livingston North train station"and Livingston shopping centre. You'll also"have access to our subsidised canteen, free tea and coffee,"hair and beauty salon, valet carwash,"amazon lockers, cash machine, covered bike storage,"prayer room and"shower facilities as part of the onsite gym. Inclusion: CVs aren't everything. We're more focused on who you are and the potential you'll bring to Sky. That's why we have a unique approach through a series of questions and a video round. If you need us to make any adjustments to our recruitment process, let our Recruitment Team know by clicking on the support button at the beginning of your application. 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.

Service Manager Supported Living (Autism & Complex Needs) Location: Wembley, Greater London Salary: £40,000 per year Contract: Full-time, Permanent Work Location: In person Join a Team That Makes a Real Difference Our client is a specialist provider supporting adults with Autism and complex needs to live independently, with dignity, purpose, and high-quality care. They are dedicated to delivering truly... ZIPC1_UKTJ

Document Controller 📍 Location: Gerrards Cross, SL9 💷 Salary: £35,000 – £45,000 The Opportunity We are currently recruiting for an experienced Document Controller to support a major projects team for a leading international engineering and construction contractor. This is an excellent opportunity to work on complex, high-value design and build projects across sectors including Food, Pharmaceutical, Logistics, Data Centres and Advanced Manufacturing. The role is critical to ensuring documentation is controlled, compliant and accessible throughout the full project lifecycle. The Role Reporting to the Design Manager / Project Director, you will take ownership of the document control process across live projects, ensuring accuracy, compliance and efficiency at all times. Key Responsibilities • Coordinate all document control activities, including technical documents, drawings and commercial correspondence, • Manage and maintain document control systems and platforms (including Aconex / ACC / Procore), • Carry out quality assurance checks on submitted documentation in line with project and client standards, • Monitor drawing and technical submittal deadlines against project milestones, • Manage and track Requests for Information (RFIs), • Control document creation, approval workflows and distribution processes, • Manage as-built documentation in collaboration with project and design teams, • Maintain strict version control across all documentation, • Organise document storage for efficient retrieval and audit purposes, • Maintain document security, access control and recovery procedures, • Produce document control reports for the project team, • Archive and dispose of documentation in line with retention policies, • Support the development and continuous improvement of document control systems, • Review and report on new document control tools and platforms Skills & Experience Required • Previous experience as a Document Controller within construction or engineering, • Hands-on experience using Aconex or similar document control systems, • Strong organisational skills with exceptional attention to detail, • Confident communicator, able to liaise with stakeholders at all levels, • Proactive team player with a structured and methodical approach What’s on Offer • Opportunity to work on technically complex, high-profile projects, • Supportive and professional project environment, • Long-term career potential within a growing organisation, • Competitive salary and benefits package Interested? If interested apply now and contact Luke Thompson for more information.

Head of Food North West London (4 days onsite, 1 day WFH) £60,000 – £70,000 DOE + bonus The business They are a fast scaling food brand incubator building restaurant quality, delivery first food brands across the UK. Operating through a growing network of partner kitchens on platforms such as Deliveroo, Uber Eats and Just Eat, everything is designed for scale with smart menus, tight systems and food that travels well. All food innovation happens under one roof with a development kitchen, testing kitchen, central production and HQ, allowing ideas to move quickly from concept to launch. As the business continues to grow, they are now looking for a Head of Food to bring ownership, structure and pace to the food pipeline. This is not a purely creative chef role, but a commercial food innovation leadership position within a data led, high growth business. Why join? • Real ownership – this role shapes the food strategy, • Speed and impact – ideas turn into live menus fast, • Founder exposure – direct influence on the business, • Innovation with discipline – creativity backed by data, • Growth journey – help build the next generation of virtual food brands The role This is a senior, hands on position with real influence. You will own the full food journey from early ideas through to scalable, production ready menus rolled out across multiple kitchens. You will work closely with operations, production, data and onboarding to make sure every dish is: • Commercially viable, • Easy to execute, • Consistent at scale, • Built for delivery You will owe decisions, processes and standards. What you will be responsible for • Building and evolving multiple delivery first food brands, • Leading menu innovation and seasonal refreshes, • Owning the development and testing kitchens, • Turning chef-led ideas into scalable, CPU-friendly products, • Ensuring strong margins, consistency and operational fit, • Working closely with production to ensure smooth execution, • Using data to guide decisions: what to build, fix, improve or stop, • Creating clear specs, recipes, costings and documentation, • Bringing structure, clarity and pace to food development What they are looking for • 3+ years in food development, NPD, culinary innovation or food operations, • Strong experience with delivery, QSR or scalable food formats, • Solid understanding of commercial kitchens and food production, • A balance of creativity and discipline, • Commercial mindset – you care about margins, waste and performance, • Comfortable working closely with founders, • Organised, decisive and clear in your communication, • Happy working at pace with multiple projects live at once Working pattern • 4 days per week onsite (kitchens are key), • 1 day per week working from home

Trainee Cyber Security Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Cyber Security role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and incident response, while building practical experience with Live Labs. The programme includes earning CompTIA certifications (A+, Network+, Security+) recognised by UK employers, expert tutor support throughout your studies, dedicated job placement support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure cyber security roles within 3 months. Starting salaries: 28,000 38,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Cyber Security? Limited spaces available. Apply now for the next available cohort.

Elwood Recruitment are looking for Support Workers in Chorleywood * * Do you have experience supporting adults with learning disabilities? * Do you live in Chorleywood or the surrounding areas? * Do you have a passion for supporting vulnerable adults? * Do you have

Elwood Recruitment are looking for Support Workers in Watford * * Do you have experience supporting adults with learning disabilities? * Do you live in Watford or the surrounding areas? * Do you have a passion for supporting vulnerable adults? * Do you have a minimu

Interaction Education are pleased to currently be recruiting for a host of qualified teachers in the Watford and Hertfordshire area, for January starts across a number of roles that we currently have live. We are looking solely for Qualified Teachers that hold QTS qualifications, and can reliably commute in and around the Watford/Hertfordshire areas. The key responsibilities for the roles that we a... ZIPC1_UKTJ

Sales Consultant This is a position at the heart of a busy, customer-facing business — blending top-tier service with proactive sales. You’ll play a vital part in helping customers find the right solutions while driving commercial success on the ground. With a strong London presence and a reputation for smart spaces, seamless service, and ambitious growth, you’ll be joining a team that’s serious about doing things differently — and doing them well. Role Overview: • Location: Harrow, • Package: £30K base + OTE £35K, Quarterly bonus, end of year bonus, perks & more, • Industry: Retail / Customer Service What You’ll Be Doing: • Driving product and service sales, including upselling premium options, • Turning leads into loyal customers through consultative, needs-based conversations, • Delivering first-class service across phone, email, and in-person touchpoints, • Supporting daily operations — from safety checks and cleanliness to admin and reporting, • Helping customers with queries, solving problems, and offering expert advice, • Contributing to local marketing awareness and keeping an eye on competitors, • Taking on light team leadership: task delegation, training support, and standards setting, • Managing store security, financial processes, and assisting with banking and collections, • Occasionally operating company vehicles in line with policy (if applicable) Main Skills Needed: • Experience in retail, customer service, or telesales (ideally all three), • Strong communicator with a naturally friendly, proactive style, • Comfortable working to sales targets and customer satisfaction metrics, • Confident using Microsoft Office and handling basic admin tasks, • Positive, enthusiastic, and self-starting with a sharp eye for commercial detail, • Able to work collaboratively while taking initiative, • Must live within 30 minutes of the store What’s in It for You: • Monthly bonuses, commissions, and 'Champion' awards, • 25 days’ holiday + bank holidays + your birthday off, • Christmas and New Year shutdown, • Perkbox membership and Medicash health cover, • Team nights out and a collaborative culture, • Pension scheme with up to 3% contributions, • Career development support, • Advanced paternity pay, • Cycle to work scheme, • Free EV charging at work We’ll keep this simple: if it sounds good, get in touch. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Help Others, Achieve Your Financial Goals £100k+!.Are you a passionate person driven to make a real difference in people's lives? Join a company that's revolutionising the way people sleep, relax, and live! We specialise in exceptional adjustable beds and rise & recliner chairs, meticulously design

On offer is a Mechanical Inspector role where you will be responsible for carrying out mechanical inspections on structures and equipment in entertainment and live event venues across the UK. Mechanical Inspector (Lifting Equipment). Due to continued growth they are looking to expand their mechanica

You class 2 Driver duties as part of a 2-man team driving a 7. T size vehicle (but paid at class 2 driver rate) and are as follows:. To be considered for this Class 2 Driver installer role you must already live in the UK (please do not apply if you are outside the UK as you will not be considered).

Creating the future world we want to live in relies on effective planning today, delivered for the UK through this Research & Technology (R&T) Planning role and supporting team.

This role is for crowd safety professionals who are confident being as part of a team in a live stadium environments. Why FRG? • Dynamic Environment: Join a team where your input is valued and you can make a real impact • Professional Growth: Access ongoing learning and development oppor

We’re looking for passionate, compassionate and reliable individuals who are eager to support people in their own homes and help them live life to the fullest. What You’ll Be Doing: You’ll provide personalised home care to clients across the community, helping them maintain indepen

Founded nearly 20 years ago, this company is a specialist live events production partner delivering creative lighting, technical production and immersive experiences for brands, agencies and venues across the UK. Are you an experienced technical project or events manager with expertise in live event

Job Advert: Refrigeration Engineer – North West London / Central London ❄️ Are You Ready to Step Up? Join an Award-Winning Facilities Leader! Are you an experienced Refrigeration Engineer looking for a fresh, rewarding challenge with a market-leading company? Do you live in or

At Achieve together, we strive to support and inspire the people we care for in order to give them the resources, skills and confidence to live their lives independently, and to the fullest.Without our incredible team of Support Workers, we simply wouldn't be who we are today.We're always on the hun

Superior Healthcare provides round-the-clock care packages to support people living with long-term health conditions to live in the comfort and safety of their own homes. As a Community Healthcare Assistant, you join our complex care team and will work long-term with one or a small number of clients

Elwood Recruitment are looking for Support Workers in Rickmansworth * * Do you have experience supporting adults with learning disabilities? * Do you live in Rickmansworth or the surrounding areas? * Do you have a passion for supporting vulnerable adults? * Do you have a

Our Automotive Client has a need for a MOT Technician who is motivated and able to work to their own initiative. At Perfect Placement we specialise in Jobs within the Automotive Field, we can help you with your Career search for Motor Trade Jobs as we have over 1,400 live Automotive Vacancies across

I am seeking a Bush Honer to join my renowned aviation industry client based in Hayes, West London. You will fit bushes and dimensionally check tolerances, fit and swage bearings and hone bushes. Role: Bush Honer Location: Hayes, Middlesex Shift: Either Mon-Fri (one week of earlies, one week of lates) or 4 on, 4 off Salary: £33,700 - £37,000 incl. shift allowance Main Bush Honer responsibilities: Install bushes / bearings. Check bushes dimensionally referring to workshop manuals and drawings. Use imperial calibrated measuring equipment Swage bushings with the suitable method (pressure, roller, stake, material displacing). Wire lock bolts / bushes Use of cryogenics / ovens Carry out hardness checks of components. Hone bushes to final size. Ideal candidate profile: Engineering apprenticeship preferred. Ability to measure using imperial measuring equipment. Ability to use computers Trained in machine shop technology and working practices Aerospace background preferable but not essential Well organised, punctual and works with accuracy Candidates must already hold the right to live and work in the UK at the time of application Additional information: Free onsite parking Competitive Salary Package Discretionary Bonus Scheme Discounted Flight Benefits Reduced Gym Memberships. Retail and Hotel Discounts Seasonal Company Events If you are interested in applying for this position and you meet the re...

Project Engineer (Mechanical or Electrical Bias).Pension + Holidays + Career Progression + Immediate Start.A leading M&E contractor is looking to appoint a driven Project Engineer with either a mechanical or electrical background to support the delivery of a major live project in Broxbourne.You

At Achieve together, we strive to support and inspire the people we care for in order to give them the resources, skills and confidence to live their lives independently, and to the fullest.Without our incredible team of Support Workers, we simply wouldn't be who we are today.We're always on the hun

In this role, you will play a key part in maintaining the safety, cleanliness, and upkeep of the property, while providing excellent customer service to residents and visitors. What We're Looking For: Previous experience in caretaking, maintenance, or property management (ideally Live In) A proactiv

Noble Live-In is part of City & County Healthcare Group. You'll have access to all the resources, career pathways, benefits, investments, opportunities, and security that being part of City & County Healthcare Group brings.

An urgent live Mechanical Supervisor is required in the Wembley area.This is a nationwide contract which has experienced some unprecedented growth during 2025 and now covers the UK.The ultimate client is a global brand.Perhaps you are a Lead Engineer or Shift Manager with management experience and s

About Us: 2x 12 Hours Location: Hatfield Our Vision is to be admired for our craft, experience, and sustainability. Desired by our customers and loved by our people. Today Moss is more than a menswear brand, we are ‘Styling individuals for moments that matter’. We’re not just for men on their big day – we’re for everyone, all the time. Whether they need to hire a one-off outfit, elevate their daily wardrobe, or create a custom piece, we’re by their side with over 170 years of tailoring know-how and considered clothing made for life as we all live it now. Our shared values encourage us to Trust our colleagues to think Creatively and plan for the sustained growth and development of Moss. For us this is about working Collaboratively and using Agility to achieve success, whilst leaving a positive impact. Embracing our core values and behavioural competencies strengthens relationships with our customers and colleagues. Purpose of the Role: You will be a true Brand Ambassador who will be able to interact easily with a broad range of customers. You will be a natural promoter of customer service excellence, responsible for the customer’s journey and experience instore, ensuring that customers return time and time again. You will be hardworking, dedicated, and swiftly identify the needs of your customer to provide engaging styling options. Your dedication to exceed customer expectations will support the overall store KPI’s, positively contributing to the overall performance through personal productivity. Key Responsibilities: • You deliver an exceptional customer experience, following the Moss Essential Steps of Service, putting the customer at the forefront, actively greeting, listening, and confidently offering individual bespoke advice, selling in a professional and passionate way., • You strive for high productivity, seizing each opportunity to maximise sales and services goals, elevating every interaction, contributing significantly to our business KPI’s., • You have strong product knowledge for all our services: Hire, Custom Made, Retail, Alterations, Ship from Store and can proactively use this towards tailoring the customer experience., • You will be aware of external opportunities that could improve store performance and provide the best customer experience improving service based on feedback from Feefo and Mystery Shops., • You will assist store management with stockroom and back area housekeeping, including receiving deliveries, stock handling, adhering to all stock & cash control procedures to minimise cash loss and stock loss., • You will follow the Appointment process by utilising the appointed platform, ensuring that all customers are contacted prior to their visit and status information is recorded accurately. What You'll Need to Succeed: Technical: • Basic Product Knowledge involves understanding the features, benefits, and products available in the store., • POS Systems encompasses familiarity with cash tills, credit card processing, and inventory management systems. About You: • Reflects the aesthetic of Moss through personal style and presentation., • Embraces continuous self-improvement, resilience, and efficient time management as core personal attributes, driven by passion for the brand., • Has outstanding communication abilities, to inspire, guide, and foster meaningful relationships, with colleagues & customers, effectively elevating the brand's presence., • Consistently embodies Moss’s core values and behavioural competencies in daily responsibilities and interactions. Rewards & Benefits: • Employee Discount: 70% discount across all our stores., • Team Reward Pay Scheme: Generous bonus scheme, paying up to 15% of your gross monthly salary each month., • Refer a Friend: We recognise and reward successful referrals for Managers with a £500 bonus., • Season Ticket Loan: Financial support for commuting., • Cycle to Work Scheme: Encouraging eco-friendly travel., • Discounted Gym Membership with PureGym: Promoting physical health and fitness., • Life Insurance: Providing peace of mind for colleagues., • Ongoing Development: Tailored to suit your career ambitions from day one., • Access to Moss Learning: An online learning platform for skill enhancement., • Employee Hub: Easy access on the go to colleague benefits, recognition, wellbeing, and company updates., • New Baby Gift: Celebrating important personal milestones of colleagues. If you want to know more about MOSS, our people and our culture, search #LifeatMoss or TailorYourCareer on LinkedIn Moss is unable to offer visa sponsorship. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are not able to support visa applications or future sponsorship.

Construction Operations & Compliance Coordinator | £25,000 - £35,000 | St Albans | Specialist Contractor | Permanent A growing specialist construction contractor in St Albans is looking for a Construction Operations & Compliance Coordinator - someone with a bit of office-based construction experience who understands documentation, compliance and the realities of live projects. You will manage health & safety and quality documentation, support accreditations, prepare RAMS and project reports, own digital document workflows, and become the go-to person for customer and Tier 1 platform systems. In short, you’ll be part of the operational backbone of the business. This is a junior but highly responsible role. Ideal for someone with at least some office-based experience in construction admin, SHEQ, project coordination or document control, who wants to build a long-term career in operations and compliance. £25k–£35k. Office-based in St Albans. Structured development. Real progression. A team that values the people who keep things running properly. If you’re organised, reliable, and quietly take pride in getting things right - this could be a very good fit.

Role: Account Director Location: Remote (UK based) If you’ve ever thought “this would blow up on TikTok” - we want you on our team. We’re on the hunt for an Account Director who can blend data, creativity, and a touch of TikTok magic to help brands connect with millions. If this sounds like you, then join the UK’s Leading TikTok Agency. We are Nonsensical. We’re a team built on passion, driven by creativity, always led by curiosity, and grounded in honesty. We help brands show up, stand out, and blow up on TikTok. From viral restaurants like Urban Tandoor, to leading B2B brands, global banks, and huge beauty brands. We’re a full-service TikTok agency. That means one day you could be leading organic strategy for a brand, launching a TikTok influencer campaign, or driving growth for global brands on TikTok Shop. What you’ll be doing: • Lead overall TikTok strategy for key clients - focusing on organic growth, storytelling, communities and recurring formats., • Be the senior strategic partner for your clients - leading client relationships, running strategic sessions, performance reviews and ensuring TikTok ladders back to wider brand goals., • Set the direction for influencer and creator activity for your clients — deciding when and how creators should be involved, approving suggested creators and overseeing campaign approach, • Shape TikTok Shop strategy where relevant - using organic content, creators and live formats to drive growth, • Oversee content output from your client team - making sure briefs are sharp, creators stay on-brand and the final content is something you’re proud to put live., • Identify new opportunities for client growth - reactive cultural moments, influencer partnerships, long-term series or new TikTok features worth testing., • Lead and develop your team - supporting Account Managers and Execs, setting standards, providing feedback and helping them grow into strategic thinkers., • Support new business and pitches - helping shape proposals, leading parts of pitches and showing prospective clients how we grow brands on TikTok. Skills, experience and characteristics • Good understanding of TikTok and wider social media platforms - content formats, communities, trends, algorithms and how brands grow organically., • You’ll have agency experience, with a track record of managing successful accounts, • You’ve been the senior contact for clients - leading calls, setting direction and building trusted relationships., • Confident challenging ideas, making strategic recommendations and keeping clients focused on long-term growth, not just single posts., • Has managed or led a team - setting expectations, mentoring and helping others grow., • Exceptionally organised - comfortable managing multiple clients, deadlines and creative production workflows., • Calm under pressure, proactive with solutions, and adaptable when TikTok (or clients) change direction quickly. Hours: 36.5 per week Monday - Thursday 9am - 5.30pm Friday - 9am - 4.30pm What you get if you join us: 🏡 Fully Remote Working – Work from wherever you’re happiest in the UK (with access to a co-working space in major UK cities if you like a change of scene). 💰 Pension Scheme – Helping you invest in your future while you shape your present. 🎉 Company Socials – From virtual hangouts to IRL meetups, we love bringing the team together. 💡 Creative Half-Days – Every quarter, take a half-day plus £50 to do something that inspires you — a class, gallery trip, pottery, spa, whatever frees your mind. 📚 Learning Fund – £200 a year towards books, audiobooks, courses or content that fuels your development. 🎊 Bonus Leave Days – Birthday? Wedding? Moving house? Take the day off on us (no annual leave used). 📝 What to expect in the recruitment process We like to be transparent - here’s how it works: Step 1: Apply Show us who you are - apply via LinkedIn but if you also want to submit a cover letter, portfolio, a TikTok via go for it! Step 2: Screening Call A 20–30 minute chat with our People & Talent team to get to know you and answer any initial questions. Step 3: First Interview A conversation with your potential manager — diving into your experience, how you think about TikTok and client relationships. Step 4: Second Interview + Task You’ll complete a small strategic or creative task (nothing wild) and present it back to our your potential manager and the Chief Content Officer — a chance to show how you think, lead and create. 💬 Ready to join the team? Ready to join the team? Apply today - we can’t wait to meet the person behind the creativity. At Nonsensical, we believe great ideas don’t come from one place, one perspective, or one type of person - they come from everywhere. That’s why we welcome applications from people of all backgrounds, experiences and identities. If you’re excited about this role but don’t meet every single requirement, please still apply. We care about potential as much as experience - and we’d love to hear your story.