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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Care Manager / Clinical Care Manager / Registered Care Manager (Clinical or Nursing Background Desirable but not essential) £45,000–£50,000 per year + annual performance based bonus | Full-time | Permanent Location: Chiswick, London (W4) Start date: February 2026 (flexible for the right candidate) The Opportunity This is a senior Care Manager role with a strong clinical and quality focus. Home Instead Chiswick is proud to be CQC Outstanding-rated and recognised for delivering high-quality, relationship-led domiciliary care. Our leadership team already includes Registered Nurses, and we are now seeking a proven Care Manager to play a key role in leading care quality, compliance, and service delivery. If you are an experienced Care Manager, Registered Care Manager, or a clinically trained professional (such as a Registered Nurse) looking to move into a role with real autonomy and influence, this is a rare opportunity. Role Overview As Care Manager / Clinical Care Manager, you will provide operational and clinical oversight across the service, ensuring care is safe, person-centred, compliant, and consistently delivered to a high standard. You will work closely with senior leadership to: • Maintain Outstanding-level CQC standards, • Provide clinical guidance and leadership to Care Professionals, • Oversee care planning, risk assessments, and quality assurance Key Responsibilities • Lead the day-to-day delivery of a high-quality domiciliary care service, • Provide clinical and care leadership across the service, • Oversee and quality-assure care plans, risk assessments, and reviews, • Ensure compliance with CQC regulations, safeguarding, and clinical governance, • Conduct audits, assurance visits, and quality checks, • Act as escalation point for complex care, incidents, and complaints, • Liaise with external healthcare professionals (GPs, district nurses, therapists), • Support recruitment, supervision, and development of Care Professionals, • Contribute to CQC readiness and inspection processes Clinical & Registration Focus We are particularly interested in candidates who have one or more of the following: • A clinical background, such as Registered Nurse (NMC-registered), • Experience in clinical oversight, complex care, or quality assurance, • Proven experience as a Care Manager or Registered Care Manager What We’re Looking For • Proven experience in a Care Manager, Clinical Care Manager, or similar leadership role, • Strong knowledge of CQC standards, safeguarding, and regulatory compliance, • Confidence in care planning, audits, and quality monitoring, • Strong leadership, communication, and organisational skills, • Level 5 Diploma in Leadership for Health and Social Care (desirable or willingness to work towards), • Full UK driving licence and access to a vehicle What You’ll Get • £45,000–£50,000 salary, depending on experience, • A senior leadership role within a CQC Outstanding-rated service, • Opportunity to work alongside clinically qualified leaders, • Real autonomy and influence over care quality and service development, • A stable, well-supported service with a strong local reputation Apply Now If you are a Care Manager or clinically trained professional who wants to combine care leadership with clinical insight, we would love to hear from you. Apply today with your CV. Suitable candidates will be contacted promptly.

What you’ll be doing Model Development: Design, train, and optimise machine learning models for user personalisation, including recommendation systems, ranking models, user segmentation, and content understanding, with a strong focus on TensorFlow-based development. Data Pipeline Engineering: Build and maintain scalable data pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‑native tooling. Production Deployment: Deploy, monitor, and maintain ML models in production environments, including cloud‑based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A/B testing and offline experimentation to evaluate model performance and guide ongoing improvement. Cross‑Functional Collaboration: Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate their integration into existing systems. What you'll bring • End‑to‑end experience across the ML lifecycle: model development, training, deployment, monitoring, and continuous maintenance., • Strong proficiency in Python and ML frameworks, with expertise in TensorFlow (and experience with PyTorch)., • Experience with GCP machine learning and data services (e.g., Vertex AI, Dataflow, BigQuery, AI Platform, Pub/Sub)., • Hands‑on experience with ML training frameworks such as TFX or Kubeflow Pipelines, and model‑serving technologies like TensorFlow Serving, Triton, or TorchServe., • Background working with large‑scale batch and real‑time data processing systems., • Strong understanding of recommender systems, ranking models, and personalisation algorithms., • Familiarity with Generative AI and its use in production environments., • Strong communication skills and analytical problem‑solving abilities.

Location: UK Job Title: WTG Principal Engineer Client Description The hiring organization is a global leader in engineering and construction for the energy and infrastructure sectors. They operate as a "One Company" structure with a focus on technological innovation and a purpose of engineering for a sustainable future, specifically supporting clients on the pathway toward Net Zero. Scope • Business Line: Positioned within the Offshore Wind business line, specifically reporting to the Floating ILA Engineering Manager., • Core Focus: Responsible for all activities related to turbine design and interfacing with turbine Original Equipment Manufacturers (OEMs) in offshore wind., • Working Model: A full-time contractor role (outside IR35) featuring a hybrid working model with flexible hours., • Location: Based in Kingston upon Thames, UK. Applicants must possess permanent UK right-to-work status. Key Responsibilities • Aeroelastic Modeling: Building and verifying aeroelastic models of the turbine and supporting the turbine tower design., • Controller Management: Managing the development, tuning, and verification checks of the turbine controller., • Technical Analysis: Providing advanced, non-conventional structural analyses and numerical simulations for the Offshore Wind business unit., • Stakeholder Liaison: Coordinating with external contractors regarding turbine models and participating in technical meetings with clients., • Reporting & Monitoring: Monitoring and verifying the ILA (Integrated Load Analysis) and writing high-quality industry-standard technical reports. Qualifications • Education: Chartered Engineer status is required; an Aeronautical degree is preferred., • Experience: 10–15 years of design experience in offshore wind, covering both floating and fixed wind substructures., • Technical Expertise:, • In-depth knowledge of turbine design (WTG) and industry codes/standards (including DNV and IEC)., • Proficiency in specialized engineering software such as OrcaFlex, Bladed, and Fast., • IT Skills: Strong proficiency in MS365. Join us at Easy Skill Easy Skill is changing the way we work. We supercharge teams around the world and transform people into a competitive advantage. With the right people power, anything is possible. We align technical project needs with the world's best talent. We've completed over 584 assignments to date and counting. We connect the right people, skills, and knowledge with the right projects to shape a better future. Joining the Easy Skill crew is signing up for the adventure of a lifetime. We help our candidates realize their career ambitions and transcend borders. We serve global leaders across a variety of industries such as mining, energy, construction, oil and gas, industrial, and defense sectors. We’re looking for our next #perfectmatch to build a brighter future. Are you ready?

About us We're Performance Communications — proudly employee-owned, one of The Sunday Times Best Places to Work and the UK’s leading specialist agency in Automotive, Technology & Sports Brand Comms. We’re 60 strong, creatively driven, and fuelled by a passion for storytelling that actually moves the needle for our clients. Whether it’s dreaming up big campaign ideas, unlocking media opportunities, building influencer buzz, or crafting stories that stand out on social — no two days here are ever the same. We’re based in Kingston upon Thames and work hybrid: three days in-office, two from home. What we’re looking for Working on iconic global motorcycle and automotive brands, we’re looking for an experienced social media professional who is passionate about two wheels and confident managing high-profile social accounts. You should be proactive and highly organised, with strong community management skills, a sharp eye for detail, and a flair for creating engaging, social-first content that brings the world of motorcycling to life. What you'll be doing You will take ownership of the day-to-day social media presence for a major UK motorcycle brand, as well as supporting other major automotive clients as the role grows. Your role will cover the full social lifecycle from idea to execution to community engagement. Key responsibilities will include: • Managing the day-to-day social media channels for a major UK motorcycle brand and additional client accounts, • Developing social-first content ideas and pitching them internally and to clients, • Creating, editing and publishing content across platforms including Instagram, TikTok, Facebook, YouTube and X, • Writing captions, scripts and post copy aligned to brand tone of voice, • Scheduling and publishing content through social media management tools, • Monitoring performance and optimising content based on engagement and platform insights, • Managing community conversations including comments, messages and mentions, • Identifying opportunities for reactive, trend-led and culturally relevant content, • Working closely with internal creative, PR and account teams to deliver integrated campaigns, • Supporting wider campaign launches with social-led thinking and execution What skills you will need • Highly organised and detail-oriented, with exceptional attention to detail, • Strong communicator, with excellent verbal and written skills to engage with clients, media, and internal teams, • Takes initiative - proactive, self-motivated, and resilient, • Creative and trend-savvy - passionate about social media, content trends, and digital innovation, • 1-2 years within a similar role (agency experience preferred), • Experience with PR and media relations is a plus, • Experience with social media management tools (e.g., Emplifi, Hootsuite etc.) is required, • Facilitation of photo/video shoots – liaising with photographers, drawing up storyboards and photo briefs, managing shoots on the ground, • Research and development skills, e.g. liaising with suppliers, managing timelines, arranging calls, agendas and meeting actions, • Creation of and tracking small to medium scale budgets, including sourcing supplier costs, creating quotes, tracking invoices, • Experience working with influencers on earned basis – liaising with influencers and influencer agents, organising influencer-based activity, negotiating deliverables, reporting on influencer statistics, • Understanding of key social channels preferable (Instagram, Facebook, X, LinkedIn, YouTube etc), • Involvement in integrated campaigns involving wider marketing, social media and web teams preferable – understanding of how different channels work and requirements for each Why work with us As an employee owned business you become part of a bold, creative agency where your voice matters, your growth is nurtured, and your wellbeing is genuinely supported. Perks & Benefits Including... • Employee owned bonus schemes, • Private healthcare, • 28 days holiday, • Hybrid and flexible working, • £250 wellbeing allowance, • 4:30pm Friday finishes, • Personal and team social budgets, • Recognition awards, • Breakfast on office days, • Company-wide social events (legendary summer and Christmas parties), • Cycle to Work scheme, • Dog-friendly office, • Ongoing training & development Our values We’re a dickhead-free zone: We’re a kind and compassionate bunch. We’re not about egos. It’s team first, and we want to work with like-minded people. We take the initiative: Proactivity and curiosity make great communicators, which is why we’re always on the front foot. We relish a challenge: Ground-breaking work isn’t easy. If it were, everyone would be doing it. We take pride in nurturing talent: Show the application and drive, and we’ll support you every step of the way. We want people to be themselves: Everyone is different. We believe you get the best out of people when they can be who they want to be. We do cool shit: We get a kick out of doing stuff that gets noticed.

A global engineering manufacturer with a reputation for technical excellence is looking to recruit a Quality Control / Assurance Engineer to support the inspection, compliance and certification of complex mechanical systems. Based at an established manufacturing facility in Kirkbymoorside, this role offers the opportunity to work on world-class engineered products used in demanding offshore and subsea environments. You will play a key role in ensuring quality standards are met from goods-in through to final assembly, working closely with engineering, production and suppliers. This is an excellent opportunity for an experienced Quality Engineer who enjoys hands-on inspection, problem-solving and continuous improvement within a high-specification engineering environment. As Quality Engineer, you will be responsible for maintaining product quality and compliance across mechanical, machining and weld activities. • Inspecting fabricated, machined and assembled components against engineering drawings and specifications, • Performing mechanical, dimensional, visual, paint and weld inspections on-site and at supplier premises, • Supporting engineering change control and non-conformance management, • Preparing and maintaining quality documentation, certification packs and inspection records, • Supporting vendor quality management and supplier audits, • Monitoring corrective and preventative actions to ensure timely closure, • Assisting with quality system compliance and continuous improvement initiatives, • Maintaining strong housekeeping and health, safety and environmental standards To be successful in this Quality Engineer role, you will have: • 5–10 years’ experience in a quality control or quality assurance role within a mechanical manufacturing environment, • Experience inspecting machined, fabricated and welded components, • Strong ability to read and interpret engineering drawings, • Hands-on experience using measuring equipment such as vernier callipers and micrometres, • ISO auditor qualification or equivalent, • Working knowledge of ISO 9001, ISO 45001 and ISO 14001, • Understanding of lean manufacturing, TQM and continuous improvement tools such as PDCA, DMAIC, Six Sigma and 5S, • Proficiency with Microsoft Excel and Access What’s On Offer • Competitive salary with long-term career stability, • Hybrid working option, • Exposure to complex, high-value engineering projects, • Opportunity to work within a globally recognised engineering business, • Supportive, professional working environment with a strong quality culture

TGRC has partnered with a leading provider of sustainable facilities management, technical services, energy solutions, and regeneration services across the UK. As part of a global organisation, our client focuses on helping businesses, communities, and the public sector transition to a low-carbon future by delivering innovative, energy-efficient and digitally enabled solutions. In the UK, they operate across a wide range of sectors, including healthcare, education, government, manufacturing, housing, and transport, supporting clients with everything from hard FM and energy management to decarbonisation projects, infrastructure services, and specialist technical support. With a strong emphasis on sustainability, customer service, and operational excellence, they play a significant role in improving the performance, efficiency, and environmental impact of buildings and critical infrastructure nationwide. Our client is looking for a Mobile Water Treatment Technician (Tier 2) to join the team in The North of England. The Technician will be required to cover Yorkshire, the North West and North East of England. Key Responsibilities; • Serve as a Water Treatment Engineer and/or Risk Assessor, delivering a full range of water treatment services across the North of the UK. Occasional travel with overnight stays may be required., • Responsibilities include temperature monitoring, showerhead descaling, cold water storage tank inspections and cleans, cooling tower cleaning and disinfection, TMV servicing, and water sampling., • Tier 2 (in addition to Tier 1 duties): Dosing of inhibitor and biocide, as well as testing and analysis of LTHW systems., • Respond promptly and professionally to all verbal and written requests., • Complete PPM service visits using the appropriate tools and systems., • Ensure all site L8 logbooks, where acting as the Primary Technician, are up to date and accurately maintained. Requirements: • City & Guilds, NVQ, or equivalent qualification aligned to the relevant Tier level for the role, • Strong, current knowledge of technical regulations, including the Water Supply Regulations/Byelaws, L8 ACOP, HSG274, and other applicable industry guidance, • Proven ability to diagnose and resolve faults effectively, • Full, valid driving licence, • This position requires an Enhanced DBS check with Barred Lists; therefore, the ability to meet this requirement is essential

Job title: Systems Integrator (IT) Job Type: Contract IR35 Status: Outside IR35 Start date: ASAP Duration: 12 Months (With potential to extend additional 12 Months) Pay rate: £600-680 Per Day LTD Company (DOE) Location: Richmond Upon Thames, London Hours of work: 40 Hours Per Week – Hybrid Working 2/3 Days in Office/Rest can be WFH Role information: Our client is currently seeking an IT Systems Integrator with a strong background in both hardware and software integration and testing to support the development and integration of an early stage System using scientific instrumentation over high speed networks requiring high timing precision. This role will focus on integrating, and testing a complex software centric system, ensuring seamless interaction between hardware, software, and network components. • You will Integrate scientific equipment with varying data interfaces and updated rates across the system., • You will check and inspect the configuration of hardware interfaces, drivers, and communication protocols for interoperability., • You will ensure smooth interaction between physical devices, software components, and network infrastructure., • You will develop and execute integration test plans for hardware/software systems., • You will perform functional, performance, and stress testing on integrated systems., • You will Identify and resolve integration issues across hardware, software, and network layers., • You will document and understand different architectures supporting distributed, real-time systems., • You will understand how to administer Linux based environments, including performance tuning and security hardening., • You will develop and execute shell scripts for automation and system orchestration., • You will understand the systems engineering lifecycle, • You will understand changes in CI/CD pipelines for testing and integration., • You will manage version control systems (GIT, SVN) and raise change request with clean and concise information on identified issues., • You will deploy and monitor systems using Azure cloud services and hybrid environments., • You will maintain detailed documentation of integration processes, test results, and system configurations., • You will provide clear reporting on integration progress and issues. Qualifications/Experience • All candidates MUST hold either a Bachelor’s or a Master’s Degree in electrical engineering, Computer Science or Computer Engineering, • All Candidates MUST have between 5-10 years of System level related experience., • You will have proven experience in hardware and software integration for complex systems following agile and V models system development approaches., • You will have a strong background in integration testing and troubleshooting., • You will have hands on experience with Linux OS administration and shell scripting., • You will be proficient in version control systems (GIT, SVN)., • You will have experience with Azure cloud services for deployment and monitoring., • You will have familiarity with DDS middleware, high-speed networking, and time-sensitive systems., • You will be experienced in LabVIEW for instrumentation integration., • You will have experience in low level programming, system architecture, operating systems, or device architecture, • You will have experience in setting up and deploying test automation frameworks using GitHub Actions, Jenkins, or similar tools. Desirables • Very good knowledge of Virtualization (VMware, Xen, Cloud), • Advanced knowledge of scripting language (Shell, Python, Perl, Rust), • Knowledge of network time synchronization protocols (PTP, NTP)., • Experience with IT security best practices and compliance frameworks., • Familiarity with real-time operating systems (RTOS) and low-latency architectures. Please note all candidates MUST be eligible to obtain or already hold SC Clearance. Interested in this position? please click “apply now” We try to respond to all applicants, but sometimes this is not possible due to high volumes of applications; if you have not heard from us within 14 days, regrettably it means you have been unsuccessful on this occasion. Company information: This contract is being advertised by Rullion Ltd. Since 1978, Rullion has been securing exceptional candidates for a range of clients; from large well-known brands, to SMEs and start-ups. As a family-owned business, Rullion’s approach is credible and honest, focused on building long-lasting relationships with both clients and candidates. Rullion is a forward-thinking recruitment company that specialises in providing a wide range of talent consultancy services to a diverse client base; from small start-ups to large household names. We celebrate and support diversity and are committed to ensuring equal opportunities for both employees and applicants.

A global real estate services leader is seeking a Site Supervisor based in Southall, England.This role involves coordinating facilities management services, ensuring compliance with health and safety standards, and monitoring service delivery to meet key performance indicators.Candidates should have

Office Angels is an employment agency. By applying for this role your details will be submitted to Office Angels. Collaborating closely with Project Managers on daily programming and monitoring progress while ensuring compliance with regulations.

This role demands expertise in video technology, systems reliability, and leadership skills.

Key responsibilities include investigating unauthorized tree works, monitoring Tree Preservation Orders, and advising on planning applications related to trees and landscapes. A local government authority in Kingston upon Thames is seeking a Tree & Landscape Officer.

AI Lifecycle Ownership & Responsible AI: Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. AI

Cardo Group is a trusted provider of building maintenance, refurbishment, and retrofit services for social housing and public sector buildings across the UK. The Planner is responsible for scheduling, coordinating, and monitoring maintenance and repair works across social housing properties. Experie

The Monitoring Development & Integration Manager is responsible for leading the design, development, and integration of advanced monitoring solutions across broadcast and media systems. Allocate resources effectively, manage budgets for video monitoring projects, and oversee the monitoring engineeri

From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky.

A leading broadcasting company in the UK is seeking a Monitoring Strategy Manager to advance video and transmission monitoring strategies.

Key responsibilities include procuring items, reviewing requisitions, and monitoring vendor performance. A government agency in Richmond seeks entry-level trainees for the DLA Pathways to Career Excellence (PaCE) Program.

Reporting to the Senior Marketing Manager, you'll take a proactive lead in developing and executing innovative multi‑channel social media and content creation. Manage daily social media operations, including content scheduling, posting, community engagement, and trend monitoring, ensuring consiste

A consulting firm is seeking an experienced Solution Architect for a remote position to assist in a digital healthcare program. This role requires leading architectural discovery activities and developing solution options aligned with NHS standards.

The MHPSS & Child Protection Officer will support the design, implementation, and monitoring of IsraAID’s MHPSS and Child Protection interventions in response to Hurricane Melissa in Jamaica. Support child protection interventions, including child safeguarding awareness, positive parenting, and co

Cardo Group is a trusted provider of building maintenance, refurbishment, and retrofit services for social housing and public sector buildings across the UK. The Planner is responsible for scheduling, coordinating, and monitoring maintenance and repair works across social housing properties. Experie

As result, the Safety Manager participates in CAA compliance monitoring and assurance activities and leads relevant safety committees.

Collaborating closely with Project Managers on daily programming and monitoring progress while ensuring compliance with regulations. Office Angels is an employment agency.

A Microsoft Purview DLP Administrator (Operations) is responsible for managing, monitoring, optimizing, and enforcing data loss prevention policies across the Microsoft 365 ecosystem. The administrator works closely with Security, Compliance, IT Infrastructure, and Governance teams to maintain stron

A community-focused organization in Hounslow is seeking a Research Analyst to deliver market and customer insights that support strategic decision-making and commercial growth.The role involves competitor benchmarking, market trend monitoring, and working closely with stakeholders to provide actiona

Comply with Regulatory & AML policies- this involves sanctions screening, PEP activity, large value transactions and high risk country monitoring.

Lead and manage the daily running of the assigned nursery room. Organise staff rotas and ensure adequate room coverage. Support with planning, monitoring, and evaluating room activities and routines.

Responsibilities include planning engaging lessons, monitoring progress, and supporting social and emotional development.

A leading media company in the UK is seeking a talented individual to develop advanced monitoring solutions using tools like Dataminer and Grafana.The ideal candidate will have proven experience in monitoring solutions and a deep understanding of DevOps and cloud-native tools.This role supports high

The Monitoring Strategy Manager is a pivotal leadership position within our broadcast technology organization, focused on advancing the frontiers and design and building a consistent and innovative strategy for video and transmission monitoring.

A Project and Bank Monitoring Specialist Consultancy is looking to recruit a Senior or Associate level Fund Monitoring Surveyor for its London office.

Job Title: Senior Planning, Monitoring & Control Professional Planning Location: Barrow-in-Furness.

Associate Monitoring Surveyor Job in LondonAssociate Monitoring Surveyor Job in London. Ideal for an experienced monitoring surveyor ready to step into a leadership-focused role.

Role: Associate Director Project MonitoringLocation: UK-wide (multiple regional offices) Contract: Permanent (Hybrid or WFH) Reporting to: Senior DirectorJoin an independent, people-focused team where senior partners are hands-on and actively involved in delivering projects! This is more like a cl

Fuel Monitoring and Pump Service EngineerLocation: Field Based Role, covering the South of EnglandSalary: Starting at £36,000 + Bonus Scheme, Company Vehicle + Fuel Card, Meal Allowance, PPE, Pension + Much more! Contract: Full time, permanentWe are Triscan Group, the UK's largest manufacturer and

Fund Monitoring SurveyorLocation: West EndSalary: £60,000 £85,000 + Bonus + BenefitsOverview A leading construction consultancy is seeking a Fund Monitoring Surveyor to join their growing team in the West End. The firm has one of the largest monitoring teams in the UK, with over 30 specialists n.

Fuel Monitoring and Pump Installation EngineerLocation: Field Based Role, covering the South of EnglandSalary: Starting at £42,000 + Bonus Scheme, Company Vehicle, Meal Allowance, PPE, Pension + Much more! Contract: Full time, permanentWe are Triscan Group, the UK's largest manufacturer and supplie