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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.

Crunch is a leading motorsport consultancy, working with some of the biggest brands in the sport and the world. We are different and we’re proud of it. People who know us all comment on how we’re... well, different. There’s being different for the sake of it. There’s being different to stand out from the crowd and there’s being different because you’re brave enough to trust yourself and be who you want to be. We believe that deep within the heart of sponsorship activation lies one key ingredient: brave, confident people. People are the lifeblood of sponsorship. The fans, the readers, the viewers, the players, the drivers, the mums and dads, the media, the clients and the customers. It was a conversation in London in 2008 from which the company was founded and since that fateful evening we have been on a mission to deliver braver sponsorship activation that gets the blood pumping and delivers tangible results. Crunch: Be Brave. Overall job description: The ideal candidate will have a proven track record in managing and delivering communications and PR programmes for high-profile brands or organisations ideally within the motorsport or automotive sectors. They will thrive as the central member in the comms team, adeptly multitasking across several projects in a fast-paced environment, while demonstrating exceptional written and verbal communication skills. This role will initially focus on working on one of the agency’s largest motorsport accounts, which demands world-class execution. It requires a high volume of written content and hands-on event activation, with the candidate having full quality control over output. Therefore, attention to detail and precision are paramount. The applicant should be confident in writing press releases, developing press packs and content and overseeing all aspects of media relations including direct media liaison. Established global media contacts within motorsport would be a significant advantage. A deep interest in the sports news agenda, media trends, including social media platforms, is crucial and experience in media analysis and measurement - both traditional and digital - would be beneficial. As part of a small team delivering globally, a willingness to be involved in every element of the programme both on and off-site, is essential. An energetic, enthusiastic and ‘can do’ team attitude is critical, as well as the ability to work under minimum supervision, leading a team in a high-pressured environment such as at an event during a race weekend while continuing to bring an energetic, enthusiastic and proactive team attitude. Reporting to the senior account team, the candidate will also be responsible for overseeing junior team members and managing their workload where needed. Key Responsibilities: • Manage the communications team to deliver high-quality, on-budget and timely projects, • Act as Account Manager on a flagship motorsport client, managing the day-to-day running of the account to ensure it delivers on time, to budget and meets measurable objectives as well as serving as the main contact to the client, • Work and manage all project documentation (logistics, plans, press releases, FAQs etc.), • Ensure all content is accurate and aligns with brand standards, • Work and build supplier relationships to maintain best-in-class delivery, • Lead project and execution from concept through reconciliation, with support from the Account Director, • Lead internal meetings and support the junior members of the team, • Share knowledge and support agency best practices, • Champion creativity within the company and develop innovative ideas aligned with client strategies Candidate Requirements: • Must have proven experience delivering high-profile global motorsport communications and press office programmes, including handling media announcements and securing coverage, • Familiar and confident using media monitoring and database tools, • Experience in delivering comms-led sponsorship activations, including (but not limited to):, • Key message development, • Content creation from concept to delivery, • Media management, • Crisis communications, • Press kit creation, press release writing, FAQ, etc., • Digital and social content and copy, • Influencer engagement, • Exceptional copywriting, proofing and PowerPoint skills, • Excellent client management skills, • Experience and understanding of working with production companies from developing briefs, filming to providing feedback on the content, • You should revel in hard work and be conscientious with a positive professional attitude and an enthusiasm to succeed, • Confident to communicate effectively with all levels throughout the company (with the ability to manage upwards and downwards), • Ability to work across multiple media formats, meet tight deadlines, manage various projects and adapt to changing circumstances, • Calm under pressure, solution-oriented and highly organised, • Prepared to travel globally to races on a regular basis, working some evenings and over multiple weekends – must have a valid and usable passport (it must be renewed if it is about to run out), • Happy to adapt to global time zones when required (e.g. meeting times), • Ability to speak another language is desirable What does it take to work at Crunch? • You will understand the pressure faced by clients and always have the correct attitude to deal with any situation your team has to handle to meet the deadline and maintain the highest standards, • Develop a strong understanding of clients’ external and internal business operations, • Crunch’s programmes work because we can walk in the clients’ shoes. Developing a good understanding of a client’s marketplace and the issues they face is essential Take the initiative, • As you grow so does Crunch in the eyes of the client; we want you to develop your skills and acquire new ones that will benefit both you and the company – we’ll help you to get there and reward you when you do, • You should revel in hard work and be conscientious with a positive attitude that will make the important client relationship all the more successful Why Should You Come to Work at Crunch…? • If you’re looking for a vibrant place to work, where you can get involved in fast-paced projects working on some of the largest and most well-known global clients in motorsport, then you’re in the right place, • We’re committed to investing in career development and look to promote internally, so will help you grow in your role, • We have a generous holiday allowance which increases by one day each year you work for us, • We recognise the importance of a welcoming and engaging working environment. While we offer the flexibility of remote working, our central Wimbledon office remains available to work in five days a week and is the heart of the company – you may be asked to come in to attend team meetings when required as well as for our monthly all agency catch up, • Plus, we have a great benefits scheme and pay an industry-competitive salary

Crunch is a leading motorsport consultancy, working with some of the biggest brands in global sport. We are different and we’re proud of it. People who know us all comment on how we’re…well, different. There’s being different for the sake of it. There’s being different to stand out from the crowd and there’s being different because you’re brave enough to trust yourself and be who you want to be. We believe that deep within the heart of sponsorship activation lies one key ingredient: brave, confident people. People are the lifeblood of sponsorship. The fans, the readers, the viewers, the players, the drivers, the mums and dads, the media, the clients and the customers. It was a conversation in London in 2008 from which the company was founded and since that fateful evening we have been on a mission to deliver braver sponsorship activation that gets the blood pumping and delivers tangible results. Crunch: Be Brave. Overall Job Description The successful candidate will have proven experience working on large-scale event and hospitality programmes for high-profile brands or organisations within F1, with four-plus years’ experience in client servicing and onsite event management. In this role you will be the central day-to-day contact for a high-profile F1 client and have responsibility of the overall events/hospitality programme delivery and management, reporting directly to a senior member of staff. You will develop and maintain strong relationships with clients and their partners to understand their needs and expectations and ensure seamless and exceptional service throughout the hospitality programme. The candidate will thrive on multi-tasking in a fast-paced environment, enjoy working in sponsorship activation, display exceptional attention to detail and excellent communication skills both spoken and written. As part of a small team delivering globally, a willingness to be involved in every element of the programme both on and offsite, is essential. An energetic, enthusiastic and ‘can do’ team attitude is critical, as well as the ability to work under minimum supervision, leading a team in a high-pressured environment such as at an event during a race weekend. Key responsibilities include: • Central management of the account and event-programme, from start to finish overseeing all deliverables, • Plan onsite activation logistics and operations including hotels, transport, venues etc. where required, • Pre-event project management including RoS, hotel and logistics’ management, guest transport matrix etc., • Onsite event lead; accountable for onsite programme deliverables at select F1 races, • Host guests onsite in the Paddock Club if required, delivering client-facing service excellence. Keeping guests well informed throughout the day, facilitating all scheduled guest activities and managing the itinerary, troubleshooting where required, • Management of dinner requirements (venue booking, set-up, F&B and event production) and any other related off-track activity and operations, • Full quality control over the account’s project management documentation and client-facing documents (planners, logistics, budgets etc.). Project management documentation is essential, • Monitor and manage the client’s accreditation portal and facilitate the processes where required, • Management and monitoring of guest/staff accreditation supplied for F1 races (ensure 100% accuracy), • Source, utilise and manage supplier relationships to deliver projects on brief and within budget, • Private suite management incl: guest activity management, gift distribution, staffing, catering, • Pre-event comms: guest invitation development, distribution, RSVP and tracking, • Ensuring any content is brand compliant, • Source merchandise/gifting goods, assess pricing/production times, procure and manage the inventory throughout the season including storage and onsite distribution, • Coordination of other sponsorship activation tasks within the project scope, • Act as the main day-to-day contact for clients and partners, ensuring the programme is delivered on time and within budget, • Manage and lead the weekly internal team meetings and client calls, ensuring all team members are clear on tasks and priorities are aligned with the overall plan, • Ability to plan and prioritise own workload, • Act as reliable support for senior team members as well as providing line management and direction to more junior team members, • Take ownership of and manage account budgets and expenses including creation of estimates, purchase orders and project reconciliations, • Monitor hours/time on the account for internal resource management, • Produce measurable results as per the targets set by the client, • Account reporting incl. end-of-year review, • Timely, professional responses to high amount of client email traffic and queries, • Creative thinking around event planning and VIP guest programmes, • Continuously seeking opportunities to enhance guest experience and exceed expectations, personalising the hospitality offering, • Knowledge sharing within the team and wider business at company meetings, • Championing best practice across every single aspect of the project, following Crunch’s processes, • Support with writing client responses, PPT presentations and reports for the client/Crunch Candidate Requirements: • A proven track record of planning and managing live F1 guest experiences and Paddock Club hospitality programmes and activity in the F1 Paddock is essential, • Familiar with F1 accreditation management (guests, vehicles and staff), • Happy to travel globally to races, working some evenings and over multiple weekends – must have a valid and usable passport (it must be renewed if it is about to run out), • Happy to adapt to global time zones when required (e.g. meeting times), • You should revel in hard work and be conscientious with a positive professional attitude and an enthusiasm to succeed, • Experience of event management processes and support beyond delivery of objectives alone, • Organised with good time management, both independently and when working as part of a team, • Experience of logistics and operations management including hotels, transport and venues, • Experience assessing and managing supplier contracts (e.g. hotels and venues), • Experience of working with production companies to set up venues and bespoke guest spaces, • Calm and collected under pressure and someone who thrives in a fast-paced environment, able to multi-task and prioritise to meet deadlines, • Understanding of brand compliance processes (e.g.design VI stipulations), • Excellent client servicing, management and communication skills, • Proficient with Microsoft Office to manage budgets and to prepare presentations/PPT decks, • Keen attention to detail and highly solutions-orientated, • Confident with event budgets, managing finance processes and account time management, • Champion of best practice, leading by example and making sure that project systems and procedures are set up and adhered to correctly by all team members, • Desire to constantly learn new things and improve on current methods, • Confident to communicate effectively with all levels throughout the company (with the ability to manage upwards and downwards), • An agency background preferrable, but not essential, • Ability to speak another language is desirable Why Should You Come to Work at Crunch…? • If you’re looking for a vibrant place to work, where you can get involved in fast-paced projects working on some of the largest and most well-known global clients in motorsport, then you’re in the right place, • We’re committed to investing in career development and look to promote internally and help you grow in your role, • We have a generous holiday allowance which increases by one day each year you work for us, • We recognise the importance of a welcoming and engaging working environment. While we offer the flexibility of remote working, our central Wimbledon office remains available to work in five days a week and is the heart of the company - you may be asked to come in to attend team meetings when required as well as for our monthly all-agency catch up, • Plus, we have a great benefits scheme and pay an industry-competitive salary

Garson Farm, Esher is seeking an enthusiastic and experienced Pick Your Own Retail & Farm Events Manager, to lead and develop our award-winning Pick Your Own operation and our growing programme of farm-based events. This is an exciting opportunity to combine operational leadership with creative event planning, delivering exceptional experiences that delight our visitors throughout the year. Working alongside the Crop Production Manager, this role primarily leads the PYO Retail operations on the farm, in addition to managing farm-based events such as Garsons Maize Maze, Pumpkin Parade and more. Who are Garsons? Founded in 1871, today Garsons is an award-winning destination Garden Centre, Farm Shop and Restaurant with locations in Esher, Surrey and Titchfield, Hampshire. Garsons Esher is also home to one of the UK's largest pick-your-own farms, voted Best PYO of the Year 2025 by the Farm Retail Association. We're honoured to have won numerous awards for our outstanding customer service and quality products, which we couldn't achieve without our valued team. We've built our reputation on friendly, reliable service with a smile, and we're always keen to meet those who share our values. What does the role involve? You’ll be working outdoors in all weather, carrying out a variety of practical, hands-on tasks. As the PYO Retail & Farm Events Manager, you will take the lead in delivering an excellent Pick Your Own experience while developing and managing a variety of farm-based events. From seasonal activities and family days to educational experiences and community-focused events, you will ensure every visitor enjoys a memorable trip to Garsons. You will be responsible for the staffing of the PYO sales team, the coordination and operational management of both PYO and events, working closely with our wider teams to enhance our offering and drive continued growth. Responsibilities: • Overseeing the day-to-day management and presentation of the Pick Your Own site, signage, staff rotas, packaging, customer service & tills, • Building upon our existing farm-based events such as the Maze and Pumpkin Parade, • Ensuring all events meet safety, quality and customer-experience standards, • Managing and motivating the PYO and events teams, including seasonal recruitment., • Working with internal teams to promote events and visitor experiences., • Monitoring visitor feedback and driving continual improvement., • Sourcing and organising equipment, materials, signage and resources needed for events. What skills and experience do you need? • Strong background in visitor experience, events management or a similar customer-facing environment., • Excellent organisational skills with the ability to plan and deliver events., • Experience of leading teams in a busy, hands-on, outdoor setting., • A proactive, customer-focused mindset and a passion for creating memorable experiences., • A practical approach and confidence working across varied outdoor tasks. Contract: This is a full-time role, including weekend work during the summer season. Location: This role is based at Garsons Esher, Surrey. Salary: From £30,060 to £33,828 per annum (depending on experience). Package: • 20% Employee discount (plus discount for designated household member), • 28 days paid holiday increasing to 31 days with 2 years’ service (pro rata), • Company bonus scheme, • Pension scheme, • Access to health and wellbeing support, • Service rewards awarded for 10 years’ and 25 years’ service, • Company events, • Discounted ‘Pick Your Own’ fruit and vegetables, • Uniform provided, • Free car parking on site Note: We may close vacancies early in the event we receive a high volume of applications. Therefore, we recommend you apply early.

Head Chef - Events & Production Kitchen - £60,000 We're recruiting a Head Chef to lead a central production kitchen and external events , delivering high-end corporate events, private dining and large-scale functions across London. This is a brilliant opportunity for a Head Event Chef who thrives in fast-paced, high-volume environments, enjoys both creativity and structure, and is confident owning the full journey from prep to on-site execution. The Offer £60,000 salary per year. 5 to10% performance bonuses. Paid overtime / additional hourly rate for weekend work. Predominantly Monday to Friday (approx. 80%). Strong work-life balance within a structured rota. Access to a wider benefits package including pension, healthcare, discounts & wellbeing support! The Operation & Food High-end events and production kitchen delivering premium food at scale. Central Production Kitchen (CPU) with on-site event delivery. Corporate events, private dining, weddings, and gala dinners. Event sizes from 5 guests up to 2,000 covers. Average daily volume: 200-300 covers. £9M+ annual revenue business. Modern, seasonal British menus with a premium, creative finish. Strong focus on quality, consistency, and high-level execution. The Role Lead all kitchen operations across the production kitchen and events. Oversee prep from CPU through to seamless on-site delivery. Manage and develop a core brigade of 7 chefs. Work closely with senior leadership on seasonal menu development. Deliver tastings, client briefs and high-end event execution. Drive consistency through structure, systems and SOPs. Take ownership of food GP, labour and supplier relationships. Ensure best-in-class food safety, HACCP and compliance standards. Support sustainability initiatives across sourcing and waste reduction. About You Proven Head Chef experience within events, production kitchens or high-volume contract catering. Strong leadership presence with the ability to build and retain teams. Reliable, consistent and committed to long-term roles. If you are keen to discuss the details further, please apply today or send your cv to yasmin at COREcruitment dot com TPBN1_UKCT

MB857: Senior Venue AV Account Manager Location: Hammersmith Salary: £42,500 - £47,500 + Bonuses (circa £7,000pa) Working Hours: Monday to Friday (with occasional weekends) Additional Company Benefits: Private medical insurance, season ticket loans, free railcard, EV car scheme, training and development, Bike2Work scheme, Company social events, and contributory pension scheme. Overview: First Military Recruitment is proudly working in partnership with a fantastic Events Management business who are looking to recruit a Senior Venue AV Account Manager on a permanent basis due to growth. This is an exciting opportunity to work in a new state of the art facility which opens in March 2026. Moreover, this is an opportunity to lead and manage the AV team in the Centre that is full of the latest large format LED screens and cutting-edge technology. The venue will open with a large variety of spaces and our client will be providing technical production services to events of all sorts and sizes. These include gala dinners, corporate conferences and sporting events. Success as a Senior Venue Account Manager requires a blend of leadership skills to direct and manage the AV team together with creativity and technical acumen to ensure that you provide customers with the optimum solution within their budget. Beyond technical prowess, the essence of this role lies in forging enduring relationships, especially with the venue’s in-house events team. Your ability to foster trust and rapport will be the cornerstone of your success. As a testament to your contributions, our client offers an enticing salary complemented by an uncapped commission package, recognising and rewarding your dedication to exceeding expectations. Duties and responsibilities: Manage the on-site AV team to optimise resources and coordinate activities with the venue’s sales team. Assist the venue’s events team with general AV advice and join client show rounds to discuss and share ideas about technical solutions. Provide clients with creative expertise, helping to develop concepts that enhance their events, then produce quotations and proposals for clients via the in-house events team. Work with the in-house team to ensure that the correct resources are identified and booked for each event. Using your well-honed personal skills, you will enhance existing relationships both the venue’s events team and other venue personnel. Qualifications and experience: Current experience working as live events AV Account Manager or Venue AV Manager. Demonstrable track record selling AV solutions to event clients. Previous experience as an event AV technician is essential. This might be with a venue as an employee of an events AV company or as a freelance events AV technician. Naturally pro-active instincts, with a hunger for sales. A good understanding of corporate events. Outstanding organisational skills and the ability to prioritise. First class interpersonal skills – especially with regard to meeting management and written communications. Experience and familiarity with a CRM (would be helpful). Very good IT skills including competence with Microsoft Office (Word, Excel and PowerPoint). MB857: Senior Venue AV Account Manager Location: Hammersmith Salary: £42,500 - £47,500 + Bonuses (circa £7,000pa) Working Hours: Monday to Friday (with occasional weekends) Additional Company Benefits: Private medical insurance, season ticket loans, free railcard, EV car scheme, training and development, Bike2Work scheme, Company social events, and contributory pension scheme

Job Description Development and Production Sous Chefs Leading Event Catering Company. They deliver a wide range of events, from high-end private functions and corporate gatherings to multi-day shows and sporting events. W London MondayFriday (occasional weekends) Our client, one of Londons premier e

The ideal candidate will have a strong background in creative event production and a proactive approach to problem-solving. A global creative agency is seeking an Event Production Manager to oversee high-impact campaigns in London. This hands-on role involves leading the production process, managing

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NVE Experience Agency is seeking an Event Production Student Placement in London for a 9-12 month paid program starting Summer 2026. This role involves supporting project coordinators on various events, including trade shows and product launches.

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A leading events company in Greater London is seeking a Production Manager to oversee high-quality technical production for live events. The ideal candidate will possess strong leadership, stakeholder management skills, and technical knowledge in production elements.

NVE Experience Agency is offering an Event Production Student Placement in London, lasting 9-12 months starting Summer 2026. This paid placement involves supporting Producers in various projects like special events and product launches. Responsibilities include handling administrative tasks, conduct

Help prepare event documents including event decks, production schedules and packing manifests. The Production Placement student will carry out the role of an entry‑level Project Coordinator, assisting and supporting Producers on individual agency projects including special events, sponsorship act

An innovative event production agency in Greater London is seeking an experienced event production manager to lead pre-production planning and live event management.

A major media company seeks a Production & Event Security Manager to join the Global Security Team in London. This role involves providing security oversight for productions across Europe, the Middle East & Africa, engaging with vendors, and ensuring safety during events.

Showforce are an award-winning global events company looking for CSCS card holders to work on television shows, theatre productions, festivals, conferences, and exhibitions supporting some of the most recognised names in the entertainment industry. Setting up and breaking down events.

Senior Account Manager – AV Event Production Industry (Hybrid - Essex, Herts, and London). This exciting opportunity offers you the chance to manage high-profile client accounts within the Audio-Visual (AV) events industry while growing your own portfolio of business. Participate in industry exhib

Responsibilities include overseeing food production, maintaining hygiene standards, and ensuring timely delivery of services. A leading catering company in Greater London is seeking an experienced Sous Chef to manage the production kitchen. The ideal candidate will support the Head Chef in deliverin

This is about event production: the technical planning, logistical choreography, and hands-on management of exceptional experiences from immersive conferences to high-profile sponsorship activations and global brand campaigns. Experience of producing a live streamed event. Lead in the creation of te

DNA Recruit is seeking an experienced Production Manager in Greater London to oversee the delivery of high-end corporate and live event projects. The ideal candidate will have strong experience in live events, excellent organisational and project management skills, and be able to handle multiple pro

As a Freelance Production Manager, you will be responsible for the technical and operational delivery of assigned Reform UK events, ensuring production runs safely, on time, and to specification. Proven experience as a Production Manager on live events (political, broadcast, conference, or large-sca