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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As Senior Propositions Manager - Mid Market & Enterprise, you will lead the development, management, and evolution of propositions for enterprise customers. You will collaborate across a complex matrix organisation to understand customer needs, identify commercial opportunities, and shape compelling, value-driven propositions What you'll do : • Proposition strategy: Lead the identification and development of new proposition opportunities for enterprise customers, spanning connectivity solutions including broadband, dedicated internet access (DIA), public WiFi , SD-WAN and associated professional services., • Develop and own the roadmap, strategy and business cases for new propositions and marketing investments, underpinned by robust insight and data, and aligned to the L ong R ange P lan (LRP) and annual operating plan., • Leverage customer, competitor, trading and market insight to develop differentiated, market-leading propositions that strengthen Sky Business's competitive advantage and drive growth in the enterprise segment., • Partner with Commercial and Pricing teams to define pricing strategy and provide clear commercial guidance for the proposition and wider enterprise category portfolio, • Collaborate with Marketing, Sales, Product and Programme teams to successfully bring propositions to market and ensure delivery of the intended customer and commercial outcomes, • Develop and own a forward-looking view of the evolving market landscape, shaping proposition positioning to unlock new revenue streams and drive ARPU growth What you'll bring :, • Proven, recent experience within a UK telecommunications proposition or commercial role focused on enterprise customers , with recognised expertise and strong knowledge of the wider B2B market landscape., • A creative yet pragmatic thinker, capable of generating ideas that both delight customers and are commercially viable and technically feasible, • Strong numeracy and commercial acumen, able to assess market opportunity in terms of volume, pricing, revenue and profit, and to design effective pricing and packaging strategies., • Expert in leveraging customer insight, with the ability to synthesise diverse data sources into clear, compelling and actionable recommendations that drive informed decision-making . Team overview : Sky Business Sky Business is the business-to-business division of Sky. No matter their size or sector, we keep businesses connected and customers entertained with our next generation network and unrivalled sports and entertainment. With an exciting, fast-paced environment, we're looking for exceptional people, who are restless to innovate and build the future, helping Sky Business and our customers to grow. And with the support of a truly trusting and collaborative team, you'll grow alongside our business. The Rewards: There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive Sky VIP rewards and experiencesHow you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Osterley is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

About Zeus Zeus is a leading logistics technology company focused on digitising, automating, and optimising supply chains through AI-powered solutions. Our integrated platforms Zeus Command, Zeus Command AI, and Zeus Connect streamline freight operations, enhance efficiency, reduce costs, and provide real-time visibility. Founded to modernise the transport and logistics sector, Zeus has grown into one of Europe’s fastest-growing logistics tech companies, working with major enterprises across multiple countries. Backed by advanced AI and sustainable transport solutions, Zeus is shaping the future of logistics. As we continue to scale, we’re looking for passionate individuals to join our team and help drive innovation in supply chain technology. If you're excited about AI, automation, and revolutionising logistics, Zeus offers an opportunity to work in a fast-paced, dynamic environment with leading industry expertise and state-of-the-art technology. About this job The mission Work with our AI and data team on Pack AI, our AI driven order consolidation and VRP module. Understand each prospect’s unique data and constraints, shape a custom solution, and clearly communicate results. You will own analytical workstreams end-to-end. What will you do • Client-centred analysis: Partner with potential customers to unpack business goals, data quirks, and constraints; translate them into a simulation plan and success criteria., • Data science hands-on: Clean, transform, and analyse large order/delivery datasets; build visualisations and executive-ready summaries (vehicle utilisation, mileage, cost, quantities, OTR)., • Parameter tuning: Design experiments, sweep parameters, evaluate trade-offs, and recommend configurations (e.g., slot windows, min-qty thresholds, SKU segregation)., • API usage & integration: Read docs, consume and stitch APIs (routing, ETAs, data exchange); produce robust scripts/services for repeatable runs., • Athena AI development support: Build data pipelines, evals, and monitoring for Athena agent workflows; collaborate with engineering team on LLM integration quality and observability., • Problem solving & delivery: Proactively flag blockers, propose options, and hit deadlines with self-organised, reliable execution. What great looks like (first 3–6 months) • You independently run a full simulation cycle (data prep → parameter experiments → recommendations → presentation)., • You deliver clear, written decision memos and visuals stakeholders can validate., • You improve plan quality on at least one prospect (e.g. higher trailer utilisation or reduced mileage) with a documented recipe., • You contribute meaningfully to Athena AI agent development (e.g., build an eval suite for tool execution quality, implement a new data pipeline for agent context) Must-have • Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions., • Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar), • Confident with data cleaning, analysis, transformation, and visualisation., • Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + executive)., • Self-organised, responsible, independent: Prior professional experience; capable of planning your own workload to deadlines., • API usage & integration: Comfortable reading API docs, handling auth, rate limits, and building reliable consumers/producers. Nice to have • Routing/optimisation exposure: NVIDIA cuOpt, VROOM, HERE (or similar); familiarity with multi-drop, time windows, packing rules., • Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts., • Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres., • TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment • Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process • 30-min intro (role, your goals), • Python data task (clean/transform + quick viz), • API & systems chat (design a small data pull + retries/observability), • Simulation case (parameter trade-offs; short write-up), • Stakeholder round (present findings; Q&A) What we offer • Private health insurance, • Pension plan, • Central working location, • Hybrid working, • Casual dress code, • Stocked kitchen and as much coffee & tea as you can drink, • Your own Mac or PC laptop and software subscriptions, • Discounted Gym memberships, a variety of virtual classes and seminars free of cost, discount coupons for all the major brands via Charlie HR perks, • Car rental scheme, • L&D via Udemy sponsored by Zeus, • Employee Assistance Program - Provides free of cost psychological, legal and medical counselling

Are you a driven FMCG sales professional looking to make your mark on one of the most exciting food brands in the world? This is your chance to join a high-growth, internationally recognised brand at the ground floor of its UK journey — and help shape what comes next. About the Company A fast-growing international food brand, well known for its bold and distinctive product range, is rapidly expanding its presence across global markets. Consumer demand has surged in recent years, driven by strong social media momentum and growing retail distribution worldwide. To strengthen its footprint in Europe, the company is establishing a dedicated UK business focused on accelerating sales, brand presence, and long-term partnerships across the Ethnic and Grocery market sectors. This is an entrepreneurial, start-up environment building something truly special — and the team values trust, integrity, collaboration, and a deep passion for the brand. Role Overview As National Account Manager, you will have a passion for the FMCG industry and will lead efforts to introduce and promote the company's products across the UK. Collaborating with cross-functional teams, you will have full ownership of key accounts while managing day-to-day administrative sales tasks, forecast accuracy, and ensuring products stand out in the competitive FMCG landscape. Key Responsibilities • Support the ambitious growth agenda for the UK business, helping grow both its core range and NPD pipeline., • Manage JBP cycle with full P&L responsibility., • Manage and grow a portfolio of national distributors and online retailers., • Build strong, long-term relationships with sales partners to deliver sales targets., • Analyse consumer trends, competitive products, and regional preferences to inform product strategies., • Ensure alignment of the sales & marketing plan for the UK., • Plan and execute product launches tailored to specific retailers and target demographics., • Collaborate with the sales and marketing teams to ensure smooth delivery and trade spend activation., • Partner with creative teams to produce compelling digital sales strategies., • Handle, evaluate, and utilise sales data and insights effectively., • Lead the NPD process based on financial planning (sales / profit / volume estimation)., • Work with the Q&A team to uphold changes with existing and newly launched products. Qualifications • 3–5 years' FMCG experience managing UK Distributors and e-commerce channels., • Able to work 5 days onsite in the office located in the South of London, UK, • Full P&L responsibility., • A bachelor's degree in a related field., • A love for food, culture, and building brands with authenticity., • Strong team working ethic with a creative mindset., • Comfortable working in a fast-paced, entrepreneurial environment., • Excellent relationship-building and communication skills., • Great project management and organisational skills., • Strong written and verbal communication skills for both internal and external customer interactions. What's on Offer • A rare opportunity to help build a UK operation from the ground up., • The chance to work with one of the world's fastest-growing and most viral FMCG brands., • A dynamic, collaborative, and multicultural working environment., • Competitive salary and benefits package., • Monthly well-being allowance., • Professional growth and mentorship as the UK business scales., • Real ownership, autonomy, and the ability to make a visible impact. Interested? Looking forward to hearing from you!

Quantity Surveyor - Planned Maintenance * Location: South London (site-based across multiple properties) * Salary: £55,000 – £60,000 + package * Project: L&Q Contract: SHDF The Opportunity We are currently recruiting for a talented Quantity Surveyor to join a Tier 1 Main Contractor within their Planned Maintenance division. This is an excellent opportunity to work on a long-term, secured contract delivering SHDF (Social Housing Decarbonisation Fund) works across a portfolio of scattered properties for a leading housing association in South London. The Role As Quantity Surveyor, you will play a key role in the commercial management of planned maintenance and retrofit works across multiple live sites. The programme focuses on energy efficiency improvements and decarbonisation measures within occupied social housing. Key responsibilities will include: * Managing all commercial aspects of the project lifecycle from pre-construction through to final account * Preparing cost plans, valuations, and financial reports * Subcontract procurement, negotiation, and management * Assessing and processing subcontractor payments * Managing variations and change control procedures * Ensuring cost control and value engineering opportunities are maximised * Working closely with operational teams to ensure project delivery aligns with commercial targets About You * Proven experience a...

Resident Liaison Officer (RLO) - East London 📍 East London | Leading Main Contractor | L&Q Framework | Excellent Salary + Fuel Card We are recruiting for a Resident Liaison Officer to join a leading main contractor delivering works on the L&Q framework.

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A leading housing association in London is seeking a Fire Officer to join their Fire Safety Team. In this role, you will manage Fire Risk Assessments across a diverse residential portfolio, ensuring compliance with safety legislation and producing high-quality reports. The position requires a valid

Fire Officer (Fire Risk Assessor) – FRA Team, South. You will carry out professional, suitable and sufficient Fire Risk Assessments (FRAs) in line with statutory requirements, manage and deliver a programme of FRAs across a diverse residential portfolio, produce high‑quality FRA reports, and ide

Title: Maintenance Technician Plasterer Contract Type: Permanent, Full Time, 40 hours per week Salary: £41,000 per annum Grade: DM Tech 05 Location: North East London (Waltham Forest, Redbridge and Havering) Persona: Mobile Working (van provided) contractual hours to be worked from various locations such as resident homes with ad hoc office attendance as required Reporting Office: West Ham Lane, Stratford Closing date for applications: 13 th May at 11pm Early applications are encouraged as we reserve the right to close the advertisement and interview earlier than stated - (if prior applications were regretted within 12 weeks) Benefits include: Excellent pension plan (up to 6% double contribution), 28 days Annual Leave rising to 31 days with length of service + Bank Holidays, Westfield Health Cash Plan, non-contributory life assurance, up to 21 hours volunteering paid days, lifestyle benefits, Employee Assistance Programme and many more Join our Repairs Team at L&Q: We are looking for an experienced Multi trade Plasterer to work within our Responsive Repairs covering our north east region housing stock on a permanent basis. The areas covered will include:Waltham Forest, Redbridge and Havering Our plasterers responsibilities will include carrying out a wide range of plastering maintenance repairs and Decorating. Delivering quality workmanship within your specific trades and without close supervision. They must be a confident painter and decorator and ideally will be skilled in others trades to supplement their plastering, painting, and decorating skills. Our Plasterers carry out patch repairs and larger plastering repairs. We are looking for people with experience in plasterer boarding, bond set, finishing and rendering. You will be given an L&Q van for business use. It is essential to have a driving license to carry out this role and you must have your own hand tools (Power tools are provided). We will expect you to have effective communication skills, have experience of working in a building and/or housing maintenance environment including a knowledge of a varied housing stock. Customer satisfaction is of the upmost importance to L&Q and as a first line of contact to our residents we expect you to have outstanding customer service and ability to deliver a right first-time service. Limiting follow ons and increasing satisfaction. Our in-house maintenance team core hours are Monday to Friday 8am to 5pm in general. To be considered for this role candidates will require/be: Sound working trade qualification, knowledge and experience Experience gained within a Maintenance environment Able to deliver excellent customer service Right first-time approach Health and Safety Conscious Previous experience in a similar role Dual trade skills About L&Q: Were one of the UKs leading housing associations and developers. We were founded on a simple belief: high quality housing is vital for peoples health, happiness and security. Everyone deserves a quality home that gives them the chance to live a better life. 250,000 people call our properties home, and were proud to serve diverse communities across London, the South East and North West of England. People are at the heart of our business and our success depends on employing the best people and getting the best from them. The foundation of everything that we are is built on our corporate values and behavioural framework , which outlines our core expectations and should be demonstrated at all times, and all levels, when representing L&Q. At L&Q, we know that diversity and inclusion make us stronger and theyre at the heart of everything we do. When we recruit, we look at what really matters: your skills, experience, and potential. Were proud to be recognised for creating an inclusive workplace. Were a Disability Confident Leader (Level 3) and weve introduced our own Recruitment Advocate scheme to make sure every step of our hiring process is fair, transparent, and consistent. Its all part of our commitment to ending discrimination and making L&Q a place where everyone feels welcome. Sustainability is also at the heart of what we do. We recognise the responsibility we hold as one of the UKs largest housing associations. TPBN1_UKTJ

Benefits include: Excellent pension plan (up to 6% double contribution), 28 days Annual Leave rising to 31 days with length of service + Bank Holidays, Westfield Health Cash Plan, non-contributory life assurance, up to 21 hours volunteering paid days, lifestyle benefits, Employee Assistance Programme and many more ... Early applications are encouraged as we reserve the right to close the advertisement and interview earlier than stated. Join our Strategic Building Safety Team at L&Q: Are you as passionate about Building Safety as we are? We are on the lookout for a proactive Project Lead to combine their interest and experience in Building Safety, along with their impressive project management skills. This role is a crucial investment to progress and continuously improve L&Q's Building Safety framework and ensure the long-term resilience of L&Q's Building Safety operations. This role reports to the Head of Strategic Building Safety and sits within the wider Corporate Health and Safety Team. If this sounds like you, we would love for you to apply! Your impact in the role: The role will help to develop the digital infrastructure needed to provide the future sustainability of effective building safety management including the Golden Thread of Information. The post holder will develop systems to embed the building control requirements across L&Q's portfolio of Higher-Risk Buildings (HRBs) and provide advice on Gateway applications. The role will play a vitally important part in developing and implementing new processes so that building safety is truly embedded across the organisation, and that our residents are safe in their homes. The post holder will develop close working relationships and connections across every part of the organisation but in particular with the wider Corporate Health and Safety Team, colleagues in Property and Investment and within Customer Services. What you'll bring: Hold (or be working towards) the CIOB Level 6 Diploma in Building Safety Management. You'll have demonstrable project management experience and a solid understanding of Building Safety legislation and regulations. You'll need excellent verbal and written communications skills, a strong ability to analyse data and produce detailed written reports and you'll have a natural ability to influence senior level stakeholders. If you require any reasonable adjustments at any stage during this process, including application stage, please email About L&Q: We're one of the UK's leading housing associations and developers. We were founded on a simple belief: high quality housing is vital for people's health, happiness and security. Everyone deserves a quality home that gives them the chance to live a better life. 250,000 people call our properties 'home', and we're proud to serve diverse communities across London, the South East and North West of England. People are at the heart of our business and our success depends on employing the best people and getting the best from them. The foundation of everything that we are is built on our corporate values and behavioural framework , which outlines our core expectations and should be demonstrated at all times, and all levels, when representing L&Q. At L&Q, we know that diversity and inclusion make us stronger - and they're at the heart of everything we do. When we recruit, we look at what really matters: your skills, experience, and potential. We're proud to be recognised for creating an inclusive workplace. We're a Disability Confident Leader (Level 3) and we've introduced our own Recruitment Advocate scheme to make sure every step of our hiring process is fair, transparent, and consistent. It's all part of our commitment to ending discrimination and making L&Q a place where everyone feels welcome. Find out more here . Sustainability is also at the heart of what we do. We recognise the responsibility we hold as one of the UK's largest housing associations. Click here to find out more about L&Q and why you should join us! #TJ TPBN1_UKTJ

Site Manager – Social Housing (Externals) – East London (E10 / E17) Up to £65,000 + Car Allowance + Fully Expensed Fuel Card We are working with a well-known and highly respected social housing construction contractor who is looking to appoint an experienced Site Manager to join their team on the L&Q framework. This is a fantastic opportunity to join a reputable business delivering essential refurbishment works across East London, specifically within the E10 and E17 postcodes. The Role As Site Manager, you will take full responsibility for delivering external refurbishment works across scattered properties and low-rise blocks. Projects will primarily involve: • Roof replacements, • Window replacements, • External upgrades within occupied social housing stock You’ll be managing multiple sites, ensuring works are delivered safely, on time, and to a high standard, while maintaining strong relationships with residents and stakeholders. Responsibilities • Oversee day-to-day site operations across multiple locations, • Manage subcontractors and site teams, • Ensure health & safety compliance at all times, • Coordinate works in occupied properties with minimal disruption, • Monitor programme and drive delivery to deadlines, • Liaise with clients, residents, and internal teams, • Maintain high quality standards and reporting Requirements • Proven experience as a Site Manager within social housing refurbishment, • Strong background in external works (roofing and/or window replacement), • Experience working on frameworks, • Excellent organisational and communication skills, • Valid SMSTS, CSCS, and First Aid, • Must have own vehicle Package • Salary up to £65,000 (depending on experience), • Car allowance, • Fully expensed fuel card, • Long-term, stable work with a respected contractor

Central Employment are working with a hugely successful eCommerce retailer and distributer of industrial products. Due to internal growth, there seeking an eCommerce Marketing Channel Lead to deliver results across Paid Media and eCommerce Marketplace, through campaign optimisation and activation. Full-time office based in County Durham Circa £30,000-£35,000 DOE eCommerce Marketing Channel Lead profile: We are seeking a commercially-driven eCommerce Channel Lead to own and grow my clients performance across key off-site sales channels, including online marketplaces (such as Amazon, Ebay, B&Q, and Tesco – among others). Operating within a fast-paced FMCG e-commerce environment, this role sits at the heart of our sales and marketing team leading on one of the key aspects of our growth strategy – third party channels. A relatively new role with accountability for revenue growth, profitability, and brand consistency across multiple channels, there is a real opportunity to make an immediate impact. eCommerce Marketing Channel Lead, will work closely with the Head of Sales & Marketing, as well as the wider commercial team, to support business growth in a competitive online retail market. As a new role, the ideal candidate will be prepared to get hands-on in building our marketplaces – working cross-functionally to ensure high service standards, identifying and resolving technical problems, and ultimately driving our commercial goals. They will be joining a highly-supportive team at a really exciting time for the business, and have a real opportunity to make an impact from day one. Key Responsibilities Own the day-to-day management and performance of third-party marketplace accounts. Work with the Head of Sales & Marketing to develop and execute strategies to drive revenue growth, improve margins, and expand product catalogues. Work closely with our ecommerce team to optimise product listings (titles, descriptions, images, keywords) to improve visibility and conversion rates. Coordinate pricing, promotions, and inventory, working cross-functionally to ensure we have a market-leading product offering. Monitor marketplace performance metrics (sales, traffic, conversion rates, and secondary KPI's) to drive consistent channel growth. Ensure brand consistency and compliance with marketplace policies and standards. Take accountability for channel-level P&L, including revenue, costs, and profitability. Produce regular performance reports with actionable insights and recommendations. Use data to identify trends, opportunities, and risks across channels. Continuously test and optimise strategies to improve performance. Work closely with Commercial, Buying, and Marketing teams to ensure product availability and campaign alignment. Coordinate with creative teams for asset development tailored to each platform. Coordinate with Customer Service and Operations teams to ensure account health metrics are above expectations. Liaise with external partners, agencies, and marketplace account managers. Work with the Head of Sales & Marketing to develop a roadmap for channel growth, including new platform expansion and capability development. Identify and launch opportunities on new marketplaces or international platforms. Work with the wider commercial and buying teams to identify opportunities for new products or brands through our Dropship Vendor programme. Work with the Head of Sales & Marketing and wider marketing, and ecommerce team, to develop and implement a growth strategy for our Dropship Vendor programme. Stay up to date with marketplace and paid media trends, tools, and best practices. Identify opportunities for automation, efficiency, and scalability. Skills & Experience Essential Proven experience managing Amazon, eBay, or similar marketplace channels - circa 2 years. Strong hands-on experience with paid search platforms (Google Ads, Microsoft Ads). Commercially minded with a strong understanding of eCommerce metrics. Analytical mindset with proficiency in tools such as Google Analytics, Excel, or BI platforms. Excellent communication and stakeholder management skills. Desirable Experience with Amazon Seller/Vendor Central and marketplace advertising tools. Familiarity with feed management tools and listing optimisation platforms. Knowledge of SEO and broader digital marketing channels. TPBN1_UKTJ

Title: Income Recovery and EnforcementOfficer Contract Type: Permanent,FT, 35 hours Salary: From £34,381 per annum (Londonweighted salary) or £30,386 per annum (Regional salary) Reporting Office: London, Stratford or Manchester, Trafford Persona: Agile Worker: 20% - 40% of contractual hours to be worked from reporting office/working location(hybrid working) Closing Date: 11 th May 2026 Interview Dates: 18 th May 2026 Start Date: 22 nd June 2026 Please click here for the role profile (Role Profile - please note that for advertising purposes the role is known asIncome Recovery and Enforcement Officerbut within the business the role is known asRecovery and Enforcement Lead) Benefits include: Excellent pension plan (up to 6% double contribution), 28 days Annual Leave rising to 31 days with length of service + Bank Holidays, Westfield Health Cash Plan, non-contributory life assurance, up to 21 hours volunteering paid days, lifestyle benefits, Employee Assistance Programme and many more Early applications are encouraged as we reserve the right to close the advertisement and interview earlier than stated . Join our Income Management Team at L&Q Are you looking to make a real impact in housing arrears recovery and enforcement? We are seeking an Income Recovery & Enforcement Officer to join our Income Management Team. In this specialist role, youll take ownership of a portfolio of accounts already subject to legal action managing cases from preparing court paperwork through to eviction where necessary. Youll be trusted to represent L&Q in court on occasion and make confident, informed decisions that directly shape outcomes for our residents and the organisation. This is a fast-paced, target-driven role where youll balance firm enforcement with compassionate customer service, supporting residents to get back on track while safeguarding L&Qs ability to invest in homes and communities. If this sounds like you, we would love for you to apply! Your impact in the role: Manage a caseload across the legal stages of the arrears lifecycle, including preparing and presenting cases in court and progressing to eviction where required . Main point contact liaising with our external legal advocates who represent L&Q at court on our behalf. Your responsibilities will include preparing witness statements and documentation to secure successful outcomes at court. Take confident decisions on enforcement action, balancing risk and customer impact. Work proactively to meet call and case management targets, handling a high volume of customer contact. Provide residents with advice and signposting to maximise income and sustain tenancies where possible. Collaborate with colleagues across Housing, Finance, and Legal, ensuring a seamless approach to arrears management. What you'll bring: Proven experience in housing arrears recovery and enforcement, including legal proceedings through to eviction. Confidence in decision-making and managing a fast-paced, high-volume workload. Strong customer service skills, with the ability to handle sensitive and challenging conversations. Knowledge of welfare benefits and tenancy-related arrears processes. Excellent organisational, negotiation, and influencing skills, with the ability to work both independently and collaboratively. If you require any reasonable adjustments at any stage during this process, including application stage, please visit our career page to reach out to us. About L&Q: Were one of the UKs leading housing associations and developers. We were founded on a simple belief: high quality housing is vital for peoples health, happiness and security. Everyone deserves a quality home that gives them the chance to live a better life. 250,000 people call our properties home, and were proud to serve diverse communities across London, the South East and North West of England. People are at the heart of our business and our success depends on employing the best people and getting the best from them. The foundation of everything that we are is built on our corporate values and behavioural framework , which outlines our core expectations and should be demonstrated at all times , and all levels, when representing L&Q. At L&Q, we know that diversity and inclusion make us stronger and theyre at the heart of everything we do. When we recruit, we look at what really matters: your skills, experience, and potential. Were proud to be recognised for creating an inclusive workplace. Were a Disability Confident Leader (Level 3) and weve introduced our own Recruitment Advocate scheme to make sure every step of our hiring process is fair, transparent, and consistent. Its all part of our commitment to ending discrimination and making L&Q a place where everyone feels welcome. Find out more here . Sustainability is also at the heart of what we do. We recognise the responsibility we hold as one of the UKs largest housing associations. Click here to find out more about L&Q and why you should join us! TPBN1_UKTJ