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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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. 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. Are you a motivated Salesforce Solutions Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact? What you'll do: • Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds), • Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform., • Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem., • Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary., • Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD., • Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles., • Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts , Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures. What you'll bring:, • Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud ( Vlocity , CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment., • Experience in design and"development across the Salesforce platform including OmniScripts , Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with"external systems using SOAP, REST, BULK, Platform events and Streaming APIs., • Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation., • Good knowledge of industry CPQ offerings such as Assetization , Product lifecycle management, Digital Commerce/Cart based APIs and external APIs., • Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers . Knowledge of TOGAF principals would be advantageous . 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, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Livingston Watermark House Our lively campus is a free shuttle bus away from Livingston South train station and the town centre. Plus, there's onsite parking available for cars, motorbikes and bicycles. You'll be well fed at our subsidised canteen, and you can keep in shape at our onsite gym - or play a game of pool or table tennis. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Our Event season runs from April to mid-October each year and we can hold events every day of the week.You will be responsible for management of the evening events in our Great Conservatory.On most occasions the Events Operation Manager will work closely together in a team: The set-up supervisor wou

Your Career Launchpad: Entry-Level Sales Advisor - Immediate Start For The New Year – Central London Are you looking to start a new and rewarding career? Want to launch a rewarding career with real progression and travel opportunities in the New Year? Please Read Before Applying: Our client can only accept candidates who are eligible to work in the UK on a full time basis, all year round without restrictions. Our client is looking for excited, proactive, and results-focused people to join their busy company based in the heart of London, due to huge client demand. They are currently expanding and have openings in their vibrant and energetic event campaigns team within the direct sales and customer service sector. If you’re a passionate, goal-oriented individual, with strong communication skills and full-time equivalent availability, and ready to excel and transform your career in 2026, we want to hear from you! Candidate Requirements; • Exceptional at engaging with customers, • Enjoy working in a collaborative and supportive team, • Able to deliver high standards of customer service, • Strong English speaking and writing skills are essential to communicate effectively with customers and our client due to the nature of the role, • Full time equivalent availability (5 days per week between Mon-Sat) – ready to start immediately and secure your new career. The benefits of this entry level sales role; • A lively social calendar, including networking events, award ceremonies and casual optional Friday socials, • Opportunities to travel both nationally and internationally, • Brand awareness fee plus an uncapped commission-based structure, as well as ongoing incentives – your income potential is unlimited for your fresh start., • Comprehensive coaching program and product knowledge will be provided, including skill base support Even though no experience is needed for this self-employed role, people with the following experience tend to flourish: Sales Representative, Bar Managers, Retail Assistants, Hospitality Assistant, Promotional Staff, Waiting Staff, Warehouse Operative, Marketing Assistant, Front of House, Customer Service Advisor, however all possessing high levels of Customer Service and excellent work ethic are welcome to apply. Send a CV or contact number and they will contact you ASAP. A recruiter will be in contact within the next 72 hours so please look out for their call. Our client welcomes those who have recently completed/graduated (School/College/University) looking for full time equivalent career opportunities, 5 days per week (Between Mon-Sat). APPLY NOW FOR THIS IMMEDIATE START OPPORTUNITY AND MAKE 2026 YOUR BEST YEAR YET! Roles are based in central London and candidates will be required to commute here. *Please note that by applying to this advert, you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

Who we are: Welcome to This is Beyond, a dynamic and forward-thinking B2B events company based in the heart of West London. From our humble beginnings as an ambitious startup, we've swiftly risen to become a global leader in pioneering B2B events that redefine industry standards. Renowned as thought leaders in the luxury travel sector, we've left an indelible mark by spearheading innovative approaches and cultivating fervent communities around distinct travel niches. Our diverse portfolio boasts a mix of groundbreaking global travel trade shows tailored for elite influencers and trendsetters. At This is Beyond, we're relentless in our pursuit of crafting unparalleled experiences. We meticulously curate our guest list, recognising that chemistry is paramount, and we vehemently reject mundane formats. Prepare to be immersed in exclusive, inspiring environments that blur the lines between work and leisure - because that's where true business brilliance thrives. Join us on our journey, where innovation knows no bounds and excellence is the standard. The role: As an Event Leader, you will be responsible for the overall strategic direction, commercial success and flawless delivery of one of This is Beyond’s major events. You will lead a multidisciplinary team across sales, marketing, content and operations, ensuring every element of the event aligns with our values, brand standards and business objectives. This role requires equal parts strategic thinking and hands-on leadership. You will shape the event’s long-term vision, develop and deliver its commercial strategy, and ensure it continues to evolve as a world-class platform that connects and inspires the most influential players in luxury travel. You will not simply deliver an event; you will nurture a living community of people and ideas. You will build something that grows year after year, creating experiences that inspire leaders, shift perspectives and spark lasting change. What you will do: Strategic Leadership and Direction • Set and deliver the event’s strategic roadmap, ensuring it drives growth, impact and industry leadership., • Own the event’s P&L, overseeing budgeting, forecasting and financial performance to meet ambitious revenue and profitability targets., • Monitor market trends, customer insights and competitor activity to inform innovation and maintain a competitive edge., • Contribute to company-wide strategic discussions, helping to shape the future direction of This is Beyond’s portfolio. Team Leadership and Development • Lead and inspire a team of senior managers and heads of department across sales, marketing and operations., • Foster a culture of clarity, accountability and collaboration, ensuring everyone is aligned to shared goals., • Coach, mentor and support your team to achieve their potential, encouraging ownership, innovation and continuous improvement., • Model leadership behaviours that reflect This is Beyond’s values: trust, curiosity, integrity, excellence and generosity. Commercial and Analytical Focus • Drive revenue and audience growth through effective commercial strategies and data-led decision making., • Oversee exhibitor and buyer acquisition, retention and satisfaction, ensuring a consistently high calibre of participants., • Evaluate event performance using clear metrics, drawing insights to refine strategy and enhance results., • Balance creativity and commerciality, ensuring that every innovation adds measurable value. Customer and Stakeholder Engagement • Act as the senior ambassador for your event, engaging and networking directly with industry leaders, partners and stakeholders., • Build and nurture strong, long-term relationships with exhibitors, buyers and sponsors., • Represent This is Beyond with confidence, energy and authenticity in meetings, presentations and international forums., • Ensure every customer touchpoint reflects the exceptional service, quality and attention to detail for which our brand is known. Innovation and Experience Design • Lead the continuous evolution of your event’s format, content and experience., • Collaborate with creative and production teams to ensure the event feels alive, relevant and ahead of its time., • Champion innovation, exploring new formats, technologies and approaches that deepen engagement and community value., • Ensure the overall experience consistently delivers on our promise: to create meaningful connections that drive personal and professional transformation. What you will need: • A strong commercial mindset grounded in real-world experience. You will likely come from a background in luxury hospitality, sales and marketing, or business development, ideally within luxury hotels, luxury events or travel brands, • Experience in budget management, P&L ownership, and commercial strategy development. A strong understanding of the dynamics of premium client relationships, the power of storytelling in driving sales, and the discipline of delivering commercial results., • Strong strategic and analytical skills, with a track record of making data-driven decisions., • You will be confident leading complex P&Ls, developing growth strategies and motivating teams to exceed ambitious targets. You will be a proven excellent negotiator, stakeholder manager, team manager and relationship-builder., • An operational mindset with hands-on event management experience. You will understand the intricacies of event delivery, logistics and on-site execution, and can translate strategy into flawless real-world experiences., • Ability to manage multiple priorities in a fast-paced, global environment., • Willingness to travel internationally to oversee event execution and engage with key stakeholders., • Most importantly, you will have the energy and hunger to build on success; to take something extraordinary and make it even better. Our Values • Curiosity - Always ask why. Open your mind to new perspectives and possibilities, and never settle., • Integrity - Be driven by good, not greed. You control your decisions, so make your actions count., • Teamwork - Empower others and leave your ego at the door. Good relationships are a competition of generosity. Benefits: Enjoy a range of benefits, including: Pension Scheme, Hybrid working arrangement, Health Cash Plan/BUPA coverage, Ongoing Learning & Development opportunities, Bonus Earning Potential, Social Events & Travel Opportunities Position Type: Permanent, with a 4-day working week. Our hybrid model includes 3 days in the office (located in Shepherd's Bush), 1 day working from home, and every Friday as a non-working day as standard. Diversity & Inclusion: At This is Beyond, we're dedicated to fostering an inclusive workplace where diversity is celebrated. We prohibit discrimination and harassment based on factors such as race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic. How to Apply: Ready to join our team? Explore all our available career opportunities and apply by visiting our careers site at careers.thisisbeyond.com. Connect with our network and discover how you can contribute to our exciting journey!

Test procedures in lab environment and ensure successful and event less deployment in production network. Work closely with Network Design team to review and understand business requirements, high-level designs, and low-level designs. Prepare provisioning procedures ( MoP ) for the deployment of Cor

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. Want to do the best work of your life? With 24 million customers in 7 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. What you'll do • Work closely with Network Design team to review and understand business requirements, high-level designs, and low-level designs., • Prepare provisioning procedures ( MoP ) for the deployment of Core Network capacity expansion upgrades/migrations as well as the release of new projects/services., • Deploy those procedures in the production network during out of business hours., • Test procedures in lab environment and ensure successful and event less deployment in production network., • Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance with test engineers, desig...

Hello from the Work Placement team at The Event Academy!. All students come to us having either completed a degree or having previous relevant work experience, and are now dedicated to launching a career in the event industry. We work closely with many leading organisations like yours to place our s

Reporting to the [Event Manager], the Event Coordinator will support the planning and delivery of live events, ensuring smooth operations and excellent guest experience. Reporting to the Venue Manager, the Venue Events Assistant will support the day‑to‑day running of the venue and assist with cl