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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.

Sales Representative (Entry Level/No Experience Required) - Immediate Starts Available Role is based in Slade Green, Dartford (Full Time Equivalent) Eager to transition into the fast-paced world of Sales & Marketing? No prior experience needed - our client provides the training! Our client, a renowned company in Dartford, is expanding its sales team. Specialising in field sales & marketing, they focus on boosting brand awareness & driving revenue while delivering excellent customer service. The company’s mission is to connect customers with their clients' brands, creating long lasting relationships. All whilst providing a supportive, friendly & motivated working environment for their team to achieve their professional & personal goals. Our client is only able to accept candidates who are eligible to work full time in the UK. (NOT suitable for students, or current international students) This role is based in Slade Green. Applicants must be able to commute to the office on a daily basis. What They Offer • Recognition: Celebrate success at weekly meetings & award ceremonies., • Company Culture: Supportive, fast paced, fun-loving, motivated & team orientated!, • Training & Development: Develop sales & customer service skills through one-on-one mentorship with a senior salesperson., • Career Growth: Clear path to progress into leadership & mentor roles, within your first year., • Incentives: Earn extra financial rewards, event invites & win invites on international travel events., • Prime Location: Office located in Slade Green with great transport links., • Immediate Starts Available. Responsibilities • Sales: Engage in face-to-face field sales & residential environments, representing brands & closing sales., • Teamwork: Collaborate with colleagues to refine sales pitches & tailor your sales approach., • Listen: Take on advice from your mentor, to be able to grow your skills and understanding., • Customer Service: Deliver top-notch customer service to ensure satisfaction, retention & customer experience., • Brand Promotion: Communicate product benefits clearly to increase brand awareness., • Meetings & Events: Participate in daily office meetings & optional social gatherings to grow your network. Requirements • Full-time Availability - MUST be eligible for full-time work within the UK, • Strong face-to-face communication skills in English., • Willing and able to commute to Slade Green office each working day., • Personality: Friendly, approachable & confident., • Attitude: Positive, target-driven & persistent., • Team Skills: Enjoy working within a team, meeting new people & building connections., • Availability: Equivalent of full-time hours, five days a week, Monday - Saturday., • Plus but not required: Experience in customer-facing roles (like retail, hospitality, or customer service) This self-employed role offers the equivalent of full time hours with commission-based earnings, ideal for those motivated by performance & success. This role is not suitable for candidates still in education (school/College/University), or current international students. Due to availability, our client is seeking candidates that can work 4/5 full days per week (Between Mon-Sat) Apply now! - Roles are Based in Slade Green. • Please note, 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.

Flys (Automation) Technician - WC2E 9DD Permanent contractFull time; 42.5 hours per week £42,571.31 per annumBased in: Covent Garden, London Prior to commencing your application , please review our application guide here. The Royal Ballet and Opera continues to lead the way in opera, ballet, music and dance both live on stage and through multiple digital platforms, from live streaming to worldwide cinema screenings. Our Covent Garden theatre has been at the heart of London and British cultural life for three centuries. We are home to two world-class Companies: The Royal Ballet and The Royal Opera . The Royal Opera House describes the place we work, not who we are. The whole is always more than the sum of its parts – we may be a House, but three quarters of our audiences experience what we do outside this building. While our Covent Garden theatre is the nerve centre, the impact and influence of the organisation can be felt in every corner of the country, and around the world. The role: Our Technical, Production and Costume Department plays a leading part in ensuring our performances are of the highest quality by delivering technical excellence for every performance, rehearsal, and event. We are seeking to appoint a Technician to join our Flys team. The role involves working as part of the Flys Team to ensure the operational and production requirements of rehearsals and performances are carried out to the highest possible standard of safety, efficiency, and quality. The RBO has worked with Tait to Develop and Launch the EpiQ Automation Control system, ensuring the RBO as an industry leader in Automated Flying. The RBO has a fully automated Flys system whilst still applying the principals of Manual Flying in our work. As such, whilst we will provide training in the specifics of our system, we do require some automation experience as a foundation. What you’ll bring: These roles will suit a team player with a collaborative approach to working and strong communication skills. You will be able to illustrate an ability to work unsupervised and show initiative in dealing with day-to-day problems, as well as a willingness to learn new skills and help train others. You will also be able to demonstrate: An excellent track record in technical theatre, preferably including the staging of opera and/or ballet. Current experience is essential. Excellent record as a trained and safe operator of an automated flying system (RBO or equivalent). An appreciation of technical aspects of performance, with an understanding of the broader technical needs of other departments. Good understanding of AutoCAD. Good Knowledge of Health and Safety relevant to the safe operation of a flying system or automation more broadly. How to apply: The Royal Ballet and Opera is one of the UK’s leading arts organisations and our aim is to inspire imagination, ignite emotion and make the extraordinary for everyone. Equality, Diversity and Inclusion underpin all that we do. We want our people to be representative of the diversity in the UK. We understand the creativity and innovation that diversity can bring and strive to create an inclusive environment in which everyone can thrive. We encourage applications from people with a wide range of backgrounds, experiences and skills to join our teams. We particularly welcome applications from those who are from a global majority background and/or those who are disabled, as they are under-represented within our organisation. We are a Disability Confident Employer, which means that we are actively working to ensure that candidates with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace. We will endeavour to offer an interview to candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they meet the essential criteria for the role, though sometimes due to the volume of qualified candidates with declarations this is not possible. The RBO is also committed to safeguarding and protecting all children, young people, and adults and we implement robust safer recruitment practices. Due to our safeguarding promise, certain roles will be subject to a DBS check before commencing employment with us, which will be indicated in the advertising. A full job description can be found here. For more information about working with the Royal Ballet and Opera, please review the info pack here. For a list of potential reasonable adjustments, please review this guidance document. If you have any access requirements for your application, please contact the RBO Recruitment Team on If you are applying as an internal candidate, you might find this guidance document helpful. Closing date for applications: 11:59pm, Tuesday 10th February 2026. Interviews will be held the week of 16th February 2026. To ensure a fair process, late applications will not be considered under any circumstances. Applicants must have work authorisation for the UK. No agencies.

Head of Lighting - WC2E 9DD Permanent contractFull time; 42.5 hours per week £68,968.97 per annumBased in: Covent Garden, London The Royal Ballet and Opera continues to lead the way in opera, ballet, music and dance both live on stage and through multiple digital platforms, from live streaming to worldwide cinema screenings. Our Covent Garden theatre has been at the heart of London and British cultural life for three centuries. We are home to two world-class Companies: The Royal Ballet and The Royal Opera . The Royal Opera House describes the place we work, not who we are. The whole is always more than the sum of its parts – we may be a House, but three quarters of our audiences experience what we do outside this building. While our Covent Garden theatre is the nerve centre, the impact and influence of the organisation can be felt in every corner of the country, and around the world. The role: Our Technical, Production and Costume Department plays a leading part in ensuring our performances are of the highest quality by delivering technical excellence for every performance, rehearsal, and event. We are looking to recruit a Head of Lighting. This role will be responsible for the management and delivery of all lighting functions for the RBO, including co-productions and hires, for Covent Garden, overseas venues, and on tour, delivering safely and effectively within agreed resources and budgets. The role will be responsible for department leadership, development of existing resources and research and budget analysis of new technologies, staff recruitment and development, and robust safety and financial leadership. What you’ll bring: We are looking for a candidate with proven experience of managing a large scale, complex operation. You will be confident leading by example and promoting a positive team environment and culture of continuous improvement. You will also be able to demonstrate: An exceptional track record in effective lighting management for major professional productions. Excellent technical skills with a thorough understanding of current lighting equipment and systems and the implications of new product developments Computer skills should include Advanced AutoCAD, Vectorworks, Visualisation Software and MS Office, plus any other software pertinent to the role. Highly developed management skills and use of systems and procedures to support delivery of objectives, including: Project management Resource and budget management Collective terms and agreements Ideally, some experience of managing trade union relations and negotiations Demonstrable understanding of all relevant Health and Safety legislation, including experience of production risk management, and holding BS7909. To submit your application, please provide a supporting statement that outlines how your skills and experience match the essential criteria listed above. Your supporting statement will be reviewed by the shortlisting panel, so please do take the time to consider your response and use this to highlight your suitability for, and interest in, the role. We recommend drafting your response in a separate document and then copying the final version into the application form. Please note that as part of our commitment to anonymised shortlisting, panels do not view CVs during the recruitment process. If you choose to upload your CV, our system will automatically pull information from your CV into our application form. The Royal Ballet and Opera is one of the UK’s leading arts organisations and our aim is to inspire imagination, ignite emotion and make the extraordinary for everyone. Equality, Diversity and Inclusion underpin all that we do. We want our people to be representative of the diversity in the UK. We understand the creativity and innovation that diversity can bring and strive to create an inclusive environment in which everyone can thrive. We encourage applications from people with a wide range of backgrounds, experiences and skills to join our teams. We particularly welcome applications from those who are from a global majority background and/or those who are disabled, as they are under-represented within our organisation. We are a Disability Confident Employer, which means that we are actively working to ensure that candidates with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace. We will endeavour to offer an interview to candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they meet the essential criteria for the role, though sometimes due to the volume of qualified candidates with declarations this is not possible. The RBO is also committed to safeguarding and protecting all children, young people, and adults and we implement robust safer recruitment practices. Due to our safeguarding promise, certain roles will be subject to a DBS check before commencing employment with us, which will be indicated in the advertising. A full job description can be found here. For more information about working with the Royal Ballet and Opera, please review the info pack here. For a list of potential reasonable adjustments, please review this guidance document. If you have any access requirements for your application, please contact the RBO Recruitment Team on Closing date for applications: 11:59pm, Friday 30th January 2026. First-round interviews will be held from 9th February 2026. To ensure a fair process, late applications will not be considered under any circumstances. Applicants must have work authorisation for the UK. No agencies.

Benefits and salary of a Fixed Wire Electrical Tester :- • 42k basic salary, • Bonus scheme for additional fixed wire tests per day for an OTE of 48-50k, • Travel pay, • Van, phone, fuel card, electrical testing equipment, • Overtime weekend rota, • 23 days holiday + 8 bank holidays, • Yearly KPI bonuses, • Plenty of additional overtime if required My client is a very well respected electrical compliance and testing company that has been established for well over 40 years, they cover all over the UK and can claim a lot of very well known companies and organisations as customers. They pride themselves on their engineers’ skills as well as always being one step ahead of the ever changing electrical regulations. They are NICEIC, CHAS, Safe Contractor and BAFE compliant and take their service very seriously to make sure their clients always come back in the future. They are recruiting for a fixed wire electrical tester you will be:- • Doing fixed wire electrical circuit testing in commercial properties, • Also doing some PAT testing and emergency lighting tests if you have the experience, • Covering around London area with more being over towards the east side, • Working in offices, commercial buildings and supermarkets Skills / experience needed as a Fixed Wire Electrical Tester :- • Living anywhere in or around the London area, but ideally over towards the east side – south Essex, north kent, east London, south east London, • 18th edition needed as well as your electrical 2391 testing certificate or equivalent, • Having your AM2 certificate or NVQ Level 3 equivalent would be very beneficial, • Great customer services skills for when you are on site, • Be able to pass a DBS check For an immediate interview contact Adam Southam please call me on (phone number removed) (agy) #beaFRONTrunner In the event that you are contacted for a role, please note that as part of the registration process you shall be required to provide FRONTrunner Recruitment Ltd. with proof of identity as well as proof of eligibility to work in the United Kingdom

Engineering Manager - Leading FMCG Manufacturing Organisation Salary: Competitive Basic + car allowance + superb benefits Hours - Monday to Friday 37.5 hours About the role Our client, a highly reputable and well-established FMCG organisation, is seeking an experienced Engineering Manager to join their dynamic team. This is an exceptional opportunity to lead engineering excellence within a fast-paced manufacturing environment, driving both operational performance and continuous improvement initiatives. The Role: As Engineering Manager, you will be responsible for managing a skilled engineering team to deliver exceptional standards that enable the business to supply customers on time, in full, at the right quality, and within a safe working environment. You will drive improvements across the site, deliver capex projects, and manage engineering budgets in line with business objectives. Key Responsibilities: Lead, mentor and develop a high-performing engineering team across a 24/7 manufacturing environment Provide technical leadership ensuring alignment with company goals and customer requirements Oversee project planning, scheduling and execution, delivering on time and within budget Drive innovation and continuous improvement, identifying optimisation opportunities Manage relationships with external suppliers, contractors and cross-functional teams Ensure plant safety compliance with H&S legislation as Site Electrical Duty Holder Oversee engineering stores management, critical spares, and CPPM system optimisation Champion food safety and quality standards, supporting accreditation requirements Lead Lean manufacturing initiatives and improvement projectsEssential Requirements: Engineering degree or related qualification Minimum 10 years engineering experience with proven leadership and management track record Strong technical background in automation systems Experience delivering capex projects on time and within budget Financial acumen with budget management experience Food industry or highly regulated industry experience preferred Excellent leadership, communication and interpersonal skills Problem-solving expertise and incident management capabilitiesLocation: South Essex Holidays: 25 days, Increases with service to 28 days. * Additional leave of up to 10 days in the anniversary for long service milestones. * Pension: Group personal pension, company contribution of 4%. * Life Cover: 3 x your salary in the event of your death to your nominated beneficiary. * Occupational maternity pay plus SMP. * Accident Cover: Disability compensation Payment. * BUPA cash plan: Individual Cover or Family. Employee has the option to increase the benefit. * Employee Star Award. * Employee Assistance Programme. * Free lunches every day. * Annual company BBQ. * Annual flu vaccination.Please note; you must have full rights to work in the UK without limitations to be considered for the Engineering Manager position

Class 2 Driver Waste, Water & Drainage Services Location: Rainham, Essex Salary: £37,440 + overtime + bonuses + benefits Hours: 6am5pm We are looking for a reliable and hardworking Class 2 Driver to join our operations team covering London and the Southeast. Working across a variety of customer sites, events and commercial environments, you will carry out waste, water and drainage services to a high standard. This is a hands-on role suited to someone who takes pride in their work, follows instructions well, and delivers excellent customer service. What youll be doing: Completing daily scheduled routes including tank empties, water refills and drainage work Keeping your vehicle clean, tidy and roadworthy Emptying large effluent tanks and refilling water bowsers Using water hydrants safely Emptying your vehicle at STW sites Carrying out daily vehicle checks and wearing appropriate PPE Liaising with the office and following all service procedures Supporting with additional yard or service duties as required Maintaining excellent customer service and promoting a positive image of the business Driving safely at all times and complying with all health & safety requirements What were looking for: Class 2 (Category C) licence essential Aged 25 or over (insurance requirement) Maximum of 6 penalty points Pay & Benefits: Standard overtime: £16.00 per hour Weekend/event overtime: £17.50 per hour (minimum 5 hours paid) £150 monthly attendance bonus Performance-related bonuses £500 bonus on completion of probation Life assurance 3x salary £500 employee referral scheme TPBN1_UKTJ

Interim Head of Housing Technology - Royal Borough of Greenwich Salary: £500 Per Day Hours: 35 Hours Working Schedule: Monday to Friday Contract Length: 6 Month Location: The Woolwich Centre, SE186HQ Job Details To be jointly responsible to the Senior Assistant Director of Resources and the Director of Housing and Safer Communities, delivering (and ensuring proper governance of) a roadmap of technology-centric change and management of the Housing IT team. Providing strategic leadership and operational oversight of Housing Technology functions, ensuring that core housing systems and technologies are robust, secure, and continuously improved in alignment with council priorities. This role will lead the development of innovative digital solutions that enhance service delivery, drive transformation, and maximise value for money. The postholder will shape and deliver a forward-thinking technology roadmap, working closely with internal and external stakeholders to translate business needs into actionable system strategies. As a key member of the Housing IT leadership team, they will play a pivotal role in embedding a culture of excellence, accountability and innovation — nurturing a high-performing team and ensuring Housing IT contributes meaningfully to wider corporate and service transformation goals. To be jointly responsible to the Senior Assistant Director of Resources and the Director of Housing and Safer Communities, delivering (and ensuring proper governance of) a roadmap of technology-centric change and management of the Housing IT team. Providing strategic leadership and operational oversight of Housing Technology functions, ensuring that core housing systems and technologies are robust, secure, and continuously improved in alignment with council priorities. This role will lead the development of innovative digital solutions that enhance service delivery, drive transformation, and maximise value for money. The postholder will shape and deliver a forward-thinking technology roadmap, working closely with internal and external stakeholders to translate business needs into actionable system strategies. As a key member of the Housing IT leadership team, they will play a pivotal role in embedding a culture of excellence, accountability and innovation — nurturing a high-performing team and ensuring Housing IT contributes meaningfully to wider corporate and service transformation goals. Direct Line Management of up to 4 staff Indirect Management of a team comprised of ~21 staff (Housing IT) Identify opportunities for digital innovation and service improvement, ensuring technology adoption supports efficiency, compliance, and improved resident outcomes. Lead the evaluation, procurement, and implementation of new systems or modules, ensuring strategic fit, cost-effectiveness, and successful integration with existing platforms. Collaborate with senior stakeholders, including service heads, Digital leadership, and programme boards, to ensure systems developments are well-governed and contribute to service transformation. Portfolio Leadership and Governance Oversee a portfolio of system-related projects, upgrades, and enhancements, ensuring robust project planning, stakeholder engagement, risk management and delivery to time and budget. Provide direction and oversight to project teams working across areas such as NEC Housing, DRS, Propeller, LMS and mobile working solutions. Act as a senior point of escalation for programme issues, working closely with suppliers, internal delivery leads, and business stakeholders to resolve risks or blockers. Ensure compliance with council governance frameworks, including report writing, PCR procurement processes, contract approvals and programme board reporting. Stakeholder and Supplier Relationship Management Build and maintain strong, trusted relationships with suppliers (e.g. NEC, Advanced, Civica), ensuring value for money, high performance, and responsiveness to the council’s evolving needs. Lead on contract and performance management, chairing regular review meetings, tracking KPIs, and holding suppliers to account for delivery and quality. Represent Housing IT at cross-directorate and pan-council working groups and governance boards, acting as the strategic voice for Housing Technology. Operational Excellence and Continuous Improvement Ensure the delivery of a high-quality support service for all users, including second-line support, training, documentation, user groups and knowledge management. Oversee the management of data integrity, user access, data reconciliations, interfaces and system processes, ensuring robust audit trails and compliance with data protection legislation. Drive improvements in reporting and data intelligence across services through better use of reporting tools (e.g. Crystal Reports, SQL, Power BI), automation and dashboards. Ensure robust disaster recovery, system security, and business continuity processes are in place and regularly tested. Leadership and Management Responsibilities Lead, inspire and manage a multidisciplinary Housing IT team, promoting a culture of collaboration, high performance, innovation and service excellence. Line manage senior officers and team leads (e.g. Principal Housing IT Officers, Senior Housing IT Administrators, Applications Support Manager), supporting their professional growth and development. Define priorities and allocate resources effectively to ensure operational resilience and the delivery of strategic objectives. Conduct regular one-to-ones, appraisals, performance management and professional development planning. Lead or support recruitment, succession planning and skills development to ensure the team is future-ready and able to respond to the council’s evolving digital agenda. Champion diversity, equity and inclusion across the team, promoting a supportive and inclusive working environment. RBG To undertake any other work appropriate to the level and general nature of the post’s duties. Where necessary for the job role or appropriate for continued development in the role, the post holder may be required to participate in training and development courses made available via the Council’s Apprentice Levy funding. To undertake all duties with due regard to the provisions of health and safety regulations and legislation, Data Protection/GDPR, the Council’s Equal Opportunities and Customer Care policies. To perform all duties in line with Council’s staff values showing commitment to improving residents lives and opportunities, demonstrating respect and fairness, taking ownership, working towards doing things better and working together across the council. To ensure that appropriate levels of emergency planning and business continuity management preparedness are in place for the service, and that your teams are appropriately briefed on their roles in an emergency. To be responsible for undertaking employee investigations, hearings and appeals in line with the RBG policies and procedures. Responsible for providing mentoring opportunities to junior staff (e.g. graduates, apprentices etc.) To undertake supervision/management of staff as and when required. You may be required to undertake alternative, additional or ancillary duties from time to time or transfer to another service department within the Council as the Council may reasonably direct to meet service user demand in the event of a crisis or emergency

Hours: 40 hours per week, 5 days out of 7 Monday to Sunday Location: based at the venue, with occasional flexibility to agree to a mix of office and home working, dependent on location Role Summary In this senior position, you will be responsible for the day-to-day management of the in-house technical team delivering events on a daily basis. The role also includes the management of key accounts and significant events at the venue in an operational capacity. Operational and financial reporting and maintaining a close liaison with the RG5 based production, warehouse and crewing teams to ensure smooth delivery of larger projects on site. The successful candidate will work closely with the Venue Account Manager in winning new work for the Venue. Key Duties and Responsibilities: * Liaison with clients, attending client meetings and show rounds. * Preparation and administration of event delivery documentation including the sourcing and quotation for externally provided equipment and services. * Liaison with the venue operations departments, reporting, and strategy development. * Creation of 2D floor plans, schematics, CDMs, power plans and other technical documentation * Staff scheduling and crew booking in conjunction with our crewing services team * The lead contact for clients on event delivery during pre-production and on the day. * Accurate entering of information into our hire management and CRM systems. * An understanding of the wider client account and the ability to connect with both internal and external teams to ensure a joined-up approach to the wide variety of services. Technical Skills: * Proven IT skills, including use of Microsoft Office (Word, Excel, Access applications and PowerPoint). Working knowledge of an internal e-mail system and electronic diary is essential. * Previous experience of Technical Venue delivery role. * Very strong attention to detail and accuracy * Financial acumen and understanding the responsibility of a Technical Manager in ensuring the profitability of event delivery. * Commercial awareness and experience dealing with a multi stakeholder environment * General understanding/awareness of venue service provision and practical event practices. Personal Competencies and Behaviours * Ability to interact effectively at all levels. * Highly effective at relating to others and working as a member of a team. * Deadline conscious and highly organised with the ability to prioritise and multi-task whilst managing a challenging workload and meeting strict deadlines. * Willing and flexible approach, with the ability to work on own initiative. * Excellent time management and planning skills, forward thinking and able to add value. What we’re looking for * Extensive experience within various event scales and genres with excellent people management skills. * The ability to work closely with clients and a practical technical understanding of the latest production technologies and processes within the live events sector. Experience managing relationships with a venue as an in-house supplier. * Driven, motivated and enthusiastic, working closely with the senior management team to develop an established brand and promote a fresh, contemporary delivery mechanism. A team leader, with skills to motivate your support team. Key Policies and Core Values. * To work alongside the members of other teams and communicate effectively * To learn about the company and its activities in order to understand and deal with the customers • Maintain confidentiality at all times * To represent the company in a courteous and appropriate manner in all circumstances * To follow correct procedures at all times and to follow the policies laid out in the staff handbook * An awareness of health and safety policies, risk assessments and be proactive in implementing them. * To carry out your duties and responsibilities in a manner that reflects the Core Values of at all times d&b solutions provides integrated audio, video, lighting, and media services, delivering complete solutions for hire and sales of technical equipment, live events, and venue installations and support. Working alongside d&b audiotechnik we are on a mission together to transform life experiences. Apart from the duties summarised in this job description, we retain the right in consultation with the post holder to include other reasonable duties, which are part of, and incidental to, this type of work. We want to recruit, and retain the most talented people, regardless of their background. We recognise that being a diverse and inclusive employer helps us fulfil our responsibility to make a difference for our staff, our clients, and our industry. Actively valuing differences enhances the way we work and people from different backgrounds and experiences bring valuable insights to the way we operate, generating new ideas and perspectives as well as making us representative of the community and society. If you are interested in this opportunity. Please email your CV, Cover Letter, and Salary Expectations

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

A leading global media organization is seeking a Senior Event Manager responsible for developing and managing high-quality events. This role involves project managing various events, ensuring smooth logistics, and liaising with teams for successful execution. Candidates should have significant exper