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

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

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

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

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

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

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

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

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

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

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

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

Lead Backend Developer – Node.js, TypeScript, Kafka - up to £80k Leading E-commerce Brand | Up to £80,000 | Hybrid (2 days/week in London) A leading e-commerce client is looking for a Lead Backend Developer to help shape the technical direction of a highly scalable, event-driven platform. This role combines hands-on development with technical leadership, working in a Node.js, TypeScript and Kafka environment. You’ll play a key role in architectural decisions while mentoring engineers and driving engineering standards across the team. The Role • Lead the design and development of backend services using Node.js and TypeScript, • Own and evolve an event-driven architecture, leveraging Kafka for asynchronous communication, • Make key architectural decisions around scalability, performance and reliability, • Work closely with product and engineering leadership to align technical strategy with business goals, • Mentor and support engineers, fostering best practices and high engineering standards What We’re Looking For • Extensive experience with Node.js and TypeScript in production environments, • Strong background in event-driven architecture, ideally with Kafka, • Proven experience designing and scaling distributed systems, • Previous experience in a technical leadership or lead role, • Confident communicator who can influence both technical and non-technical stakeholders Salary & Benefits • Salary up to £80,000, • Hybrid working: 2 days per week in London, • High level of ownership and influence over platform architecture, • Opportunity to lead development on a large-scale e-commerce system, • Supportive, modern engineering culture with real autonomy Lead Backend Developer – Node.js, TypeScript, Kafka

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced AI/ML Developer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with AI/ML Developers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience conducting user research for software or AI applications., • Solid understanding of generative AI and large language models., • Strong programming skills, including testing and debugging., • Familiarity with agile development practices and modern software tools (e.g., Git/GitHub)., • Experience deploying AI/ML-powered applications., • Knowledge of AI/ML evaluation techniques, including safety and robustness testing., • Familiarity with benchmarking and performance evaluation of ML models., • Degree in a quantitative or engineering discipline (e.g., Computer Science, Engineering, Bioinformatics) or equivalent professional experience. What You Might Be Doing As a AI/ML Developer at GSK, you could get involved with: • Designing and implementing safety metrics for generative AI applications, especially those involving language models., • Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems., • Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure., • Writing high-quality, maintainable code and participating in peer code reviews., • Collaborating with data engineers and cross-functional teams to build end-to-end ML pipelines., • Delivering insights from generative AI datasets using ML and data analysis techniques., • Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? • Be the first to hear about new AI/ML Developer roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about AI/ML and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Senior Backend Developer – Node.js, TypeScript, Kafka - up to £70k Leading E-commerce Brand | Up to £70,000 | Hybrid (2 days/week in London) We’re partnering with a leading e-commerce business that’s scaling a modern, event-driven platform to support high transaction volumes and continued growth. They’re looking for a Senior Backend Developer to join a highly capable engineering team working with Node.js, TypeScript and Kafka. This is a hands-on role where you’ll be building and evolving distributed backend services in a fast-paced, product-focused environment. The Role • Build, maintain and improve backend services using Node.js and TypeScript, • Some experience with React, • Develop and support event-driven architecture, with Kafka at the core, • Collaborate with product, frontend and platform teams to deliver scalable e-commerce solutions, • Contribute to system design, performance optimisation and best engineering practices, • Take ownership of services from development through to production What We’re Looking For • Strong commercial experience with Node.js and TypeScript, • Practical experience working with event-driven systems (Kafka experience preferred), • Good understanding of distributed systems, scalability and reliability, • Experience working in complex backend environments (e-commerce is a plus), • A collaborative mindset and a desire to build high-quality software Salary & Benefits • Salary up to £70,000, • Hybrid working: 2 days per week in London, • Opportunity to work on a large-scale, high-impact e-commerce platform, • Modern tech stack with room to influence technical decisions, • Clear progression within a growing engineering function Senior Backend Developer – Node.js, TypeScript, Kafka - up to £70k

Senior Software Engineer (Python) – Contract | Outside IR35 💷 £550–£650/day | ⏳ 6 months+ | 📍 Paddington (3 days onsite) We’re partnering with a well-funded, fast-scaling AI & tech upskilling platform that works with 1,500+ organisations to help people build real-world skills in data, AI, and software engineering. This is a chance to join a high-calibre product engineering team working on systems that impact the learning and career outcomes of thousands of users, while helping organisations adopt technology more effectively. The opportunity You’ll join a domain-focused engineering team, gaining deep ownership of specific product areas and contributing to scalable, user-centred solutions across the platform. You’ll be solving complex, meaningful problems and working on systems that continue to evolve as the platform scales internationally. What you’ll be working on • Designing and improving user-facing platform experiences that identify potential and intent, • Scaling systems that support education quality and learner engagement, • Building internal tools that make engineering more scalable and enjoyable, • Exploring and integrating AI-powered capabilities to improve learning and coaching outcomes, • Working across both existing systems and greenfield projects Tech environment • Python (core backend), • AWS, • TypeScript, React,, • Modern CI/CD and cloud-native tooling, • Experience with event-driven architecture is a plus, but not a blocker. What they’re looking for • Strong experience building robust, scalable systems (typically 5+ years, but flexible), • Comfort working across the full development lifecycle - from requirements through to production support, • A collaborative mindset and experience working in cross-functional product teams, • Curiosity and openness to learning new tools, including AI-assisted development Contract details • Outside IR35, • £550–£650/day, • 6 months+, with openness to a permanent transition, • Hybrid: 3 days onsite in Paddington If you’re a Python Developer who enjoys ownership, product thinking, and working on technology that genuinely improves people’s outcomes, this is well worth a conversation.

Senior Software Engineer Location: London (4 days on site) We’re looking for a Senior Software Engineer to play a key role in designing, building, and maintaining critical parts of a modern, user-facing platform. This is a hands-on role where you’ll help shape technical direction, mentor other engineers, and ensure systems are robust, scalable, and easy to maintain. You’ll work closely with product, design, and other cross-functional teams to deliver high-quality solutions that make a real impact, while contributing to a strong culture of engineering excellence. What You’ll Be Doing • Lead the design and development of complex systems and business-critical features, • Drive projects involving multiple contributors, ensuring strong technical alignment and high-quality delivery, • Set engineering standards through code reviews, documentation, and process improvements, • Take ownership of production systems, proactively monitoring, debugging, and resolving issues, • Design for resilience, scalability, and observability, • Act as a trusted technical advisor, translating business needs into effective technical solutions, • Mentor and support other engineers, sharing knowledge and modelling strong decision-making, • Contribute to team strategy, planning, and long-term technical direction, • Participate in (and occasionally lead) in-person daily stand-ups, • Influence engineering practices and culture beyond your immediate team Essential Skills & Experience • Strong proficiency in TypeScript, • Experience building production systems using React, React Native, Node.js, or similar frameworks, • Solid understanding of system design, scalable architecture, and full-stack development, • Experience with platforms and tools such as AWS, Expo, Vercel, or Camunda, • Ability to write clean, maintainable, well-tested code and conduct thorough code reviews, • Comfortable owning production systems and handling incidents, • Confident leading technical discussions, evaluating trade-offs, and aligning stakeholders Nice to Have • Experience in a high-growth or scaling environment, • Background in healthcare, fintech, or other regulated industries, • Familiarity with domain modelling, event-driven systems, or workflow automation

🔥 Senior Software Engineer – Build a Platform Used by Millions Join a fast-growing consumer brand powering real-time, personalised customer experiences at scale. Package 💷 £70–90k + 5% bonus 🏢 Hybrid (2 days onsite, London) What you’ll do • Own the full lifecycle of services: API design, architecture, deployment, and production, • Build an internal platform delivering consistent, real-time communications across multiple digital touchpoints, • Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack • Node.js (TypeScript), Ruby, • Event-driven systems (Kafka), APIs, • AWS / GCP, Kubernetes Why it’s exciting • Work at scale in a high-traffic, consumer-facing environment, • Strong engineering culture: automated testing, reliable CI/CD, observability, distributed systems, • True end-to-end ownership and impact 📩 Interested? DM your CV and notice period today! 🔥 Senior Software Engineer – Build a Platform Used by Millions

🌍 Location: London (Hybrid: 4-8 days a month) 💷 Salary Range: £70,000-100,000 📈 Equity: Meaningful early-stage equity 🕒 Stage: Seed → Series A 🌐 Website: Cyb3roperationsCyb3r Operations | Supply Chain & Third Party Intelligence About Cyb3r Operations Cyb3r Operations is building a modern third-party risk intelligence platform that gives organisations real-time visibility into: • Supply-chain and vendor risk, • Financial stress indicators, • Cyber exposure and shadow IT, • Surface, deep and dark-web intelligence, • Breach data, impersonation activity and industry-specific signals Our platform ingests and enriches large volumes of external intelligence to help security, procurement, CFO and resilience teams understand exposure instantly. We have: • Closed our seed round and are entering the next stage of growth, • Expanding the platform, engineering team and customer footprint, • Preparing for Series A with a focus on platform maturity and deeper integrations We're hiring a Senior Lead Software Engineer as a foundational member of our engineering team, someone who will help us build robust, scalable systems and shape how we grow the team around them. Role Overview This is a key early hire. You'll work across the full stack with a strong emphasis on backend services and infrastructure, helping us build systems that scale as we grow. You'll work closely with the Director of Engineering to establish patterns, improve reliability, and lay the groundwork for a larger engineering team. You will: • Design and build backend services that ingest, process and serve intelligence at scale, • Own and evolve our AWS infrastructure, ensuring it's secure, cost-effective and production-ready, • Work across the stack when needed, comfortable contributing to frontend, APIs and data layers, • Help define engineering practices, tooling and processes as the team grows, • Be a key voice in technical decisions and architectural direction, • Mentor and support engineers as we expand the team This role suits someone who wants to build things properly, cares about the foundations, and is excited by the opportunity to shape both the platform and the team. Key Responsibilities Backend Development • Design and build performant, maintainable backend services in TypeScript/Node.js and Python, • Develop APIs using Fastify and integrate with internal and external data sources, • Build data pipelines and processing workflows that handle high-volume intelligence feeds, • Implement robust error handling, logging, monitoring and alerting, • Write clean, well-tested code with clear documentation Infrastructure & Cloud Engineering • Own and manage AWS infrastructure (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, etc.), • Design for scale, reliability and cost efficiency from the outset, • Implement infrastructure-as-code using Terraform, • Build and maintain CI/CD pipelines for consistent, reliable deployments, • Establish security best practices across infrastructure and application layers, • Monitor, troubleshoot and optimise production systems Architecture & Technical Leadership • Contribute to architectural decisions that support long-term scalability, • Identify technical debt and propose pragmatic approaches to address it, • Evaluate and introduce tools and technologies where they add genuine value, • Document systems, decisions and patterns to support team growth, • Participate in incident response and post-mortems, driving continuous improvement Team Growth & Collaboration • Work closely with the Director of Engineering on priorities, planning and team development, • Help interview, onboard and mentor new engineers as we scale, • Communicate clearly and proactively, flag risks early, share context generously, • Collaborate with Product and other stakeholders to refine requirements and trade-offs, • Foster a culture of learning, quality and mutual support Technical Environment Backend: • Node.js, TypeScript, Fastify, • Python for data processing and automation, • Postgres, Supabase, Redis, • Event-driven microservices architecture, • n8n for workflow automation, • LLM-powered enrichment pipelines Infrastructure: • AWS (ECS, Lambda, RDS, S3, CloudFront, SQS, EventBridge, IAM, VPC), • Terraform for infrastructure-as-code, • GitHub Actions for CI/CD, • Monitoring and observability tooling Frontend (for fullstack context): • React, TypeScript, Vite, Next.js Bonus familiarity: • Graph databases and GraphML for relationship modelling, • .NET for legacy integration or specific tooling, • Cyber Security, • SOC2 / CE+ / Regulatory experience What Success Looks Like (First 12 Months) • Core backend services and infrastructure are more scalable, reliable and observable, • Clear architectural patterns established that the team can build upon, • Meaningful contribution to at least one significant platform capability, • Infrastructure costs are understood, monitored and optimised, • Strong working relationships across engineering, product and leadership, • Actively contributed to hiring and onboarding new team members, • Recognised as a trusted technical voice in decisions and planning Ideal Experience • 5+ years of backend development experience, with strong TypeScript/Node.js and Python skills, • Solid, hands-on AWS experience—you've built and operated production infrastructure, not just used managed services, • Experience designing systems for scale, even if you haven't yet operated at massive scale, • Comfortable across the stack—backend-focused but can contribute meaningfully to frontend when needed, • Worked in startup or scale-up environments where you've had to build, ship and iterate quickly, • Experience with infrastructure-as-code (Terraform preferred), • Clear, confident communicator who can explain technical concepts to varied audiences Bonus: • Experience with graph databases or GraphML for modelling complex relationships, • .NET experience for specific integrations, • Familiarity with cyber security, threat intelligence or risk platforms, • Experience building data pipelines or working with high-volume data ingestion, • Previous involvement in growing or mentoring engineering teams What We're Looking For Beyond technical skills, we're looking for someone who: • Loves building: Energised by creating products that solve real problems, • Builds for scale: Thinks about what happens when it grows, not just when it works, • Grows people: Wants to help others develop—shares knowledge, gives feedback, lifts the team, • Stays curious: Asks questions, digs deeper, never assumes they know everything, • Keeps learning: Actively develops their skills and stays engaged with the craft, • Stays humble: Ego-free, open to challenge, happy to be wrong if it leads to better outcomes, • Communicates clearly: Can articulate ideas, trade-offs and concerns directly and constructively This is an early, foundational role. We need someone who cares about getting it right and wants to help us build something that lasts. Why Join Cyb3r Operations This isn't a 9-5. We're building something meaningful, and we're looking for people who want to be part of that. • Foundational impact: Join as a key early hire and shape how we build—both the platform and the team, • Real ownership: Your decisions matter, your code ships, your influence is tangible, • Talented team: Work alongside experienced engineers, intelligence analysts and security professionals who care about their craft, • Shared success: We celebrate wins together and recognise the people who make them happen, • Growth opportunity: Help us scale from seed to Series A and beyond, your career grows with us, • Cyber security domain: Work on problems that matter, in a space that's only becoming more critical, • Competitive package: Salary, matched pension contribution, unlimited leave and flexibility that reflects your experience and contribution If you want to build robust systems, help grow a strong team, and be part of something from the early days, we'd love to hear from you.

Founding Engineer – Full-Stack / AI / Early-Stage Startup Location: London (Hybrid 3 days onsite) Employment Type: Permanent Salary: Competitive (DOE) A fast-growing early-stage technology startup is building AI-driven products that power data-heavy workflows across digital platforms. The team operates with high ownership, fast iteration cycles, and a strong engineering culture focused on shipping meaningful features into production. They are now hiring a Founding Engineer to take end-to-end ownership of features across the full stack, contribute to AI-powered workflows, and help shape the technical architecture as the platform scales. This role suits someone who enjoys autonomy, moving quickly, and working across product, engineering, and experimentation in a startup environment. The Role You’ll design and implement production-grade features from initial concepts and designs through to deployment. Working across backend and frontend systems, you’ll help build intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You’ll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What You’ll Be Doing Product Architecture and Delivery • Translate project briefs and product designs into technical architecture and implementation plans., • Own features end-to-end across backend and frontend through to production release., • Contribute to system design decisions as the platform scales. AI and Intelligent Workflows • Build AI-driven features including agent-based workflows and embedding-driven matching systems., • Experiment with LLM-powered tools and apply them to real production use cases., • Design and optimise vector search and embedding pipelines to power semantic search, recommendation, and Retrieval-Augmented Generation (RAG) systems., • Architect and implement agentic AI systems capable of planning, reasoning, tool use, and autonomous task execution., • Explore new approaches in automation, search, and data enrichment. Deployment and Engineering Excellence • Improve and maintain CI/CD pipelines to enable fast, reliable releases., • Contribute to cloud deployments and operational stability., • Promote engineering best practices across testing, monitoring, and code quality. Experimentation and Innovation • Run technical experiments in data engineering, infrastructure, and AI., • Prototype and validate new technologies before moving them into production., • Continuously improve developer experience and delivery velocity. Ownership and Collaboration • Operate across the full technical stack in a high-autonomy environment., • Collaborate closely with product and business stakeholders., • Take responsibility for delivery quality and system performance. Core Experience • 2–3 years of hands-on engineering experience or equivalent project-based experience demonstrating ownership and impact., • Strong commercial experience with TypeScript and Node.js., • Experience delivering production features across backend and frontend systems. Mindset and Attributes • Comfortable operating in ambiguous, fast-moving environments., • Highly organised, proactive, and delivery focused., • Strong problem-solving skills and appetite for learning., • Excited about applying AI and LLM-powered tools to real-world workflows., • Thrives with autonomy and responsibility. Bonus Experience • Exposure to AWS serverless or event-driven architectures., • Mobile development experience (e.g., Flutter). Benefits • Flexible hybrid working model, • Generous Equity, • High ownership and autonomy, • Opportunity to influence architecture and product direction, • Fast learning environment with exposure to AI and modern cloud tooling, • Competitive compensation and early-stage growth opportunity Interview Process • Short introductory call, • In-person technical challenge and interview, • Culture and values interview

Position: Back-End Engineer Location: London, 4 to 5 days per week on site Compensation: Competitive salary and equity, depending on experience Reports to: Head of Engineering About Navys Navys is a venture-backed legal technology company building enterprise workflow software for private capital markets. The platform replaces manual, email-driven legal processes with a structured system that enables funds lawyers, GPs and LPs to execute complex transactions more efficiently. Navys is focused on real legal workflows, not generic AI tools or document summarisation, and is designed to support production-grade, enterprise use cases. Navys is building core infrastructure for how funds legal work is done, with a strong emphasis on execution, clarity and real-world impact. Role Summary Navys is seeking a Back-End Engineer to join the team on a full-time basis. This is a hands-on engineering role focused on building robust, scalable backend systems that power complex legal workflows and transaction management. You will be responsible for designing and implementing core backend services, APIs and data infrastructure that form the foundation of the platform. This role requires deep technical expertise in backend architecture, strong ownership and the ability to translate complex legal workflows into efficient, reliable systems. This is not a narrow or isolated engineering role. It requires ownership, comfort with ambiguity, and the ability to take responsibility for backend features and services from early design through to production deployment. Responsibilities Backend Development and API Design • Design, build and ship scalable backend services and RESTful APIs in Python, • Architect and implement data models that support complex legal workflows and transaction orchestration, • Translate complex legal and operational requirements into efficient backend systems, • Take ownership of backend features from concept through to production release Platform Infrastructure and Performance • Develop and maintain cloud infrastructure with a strong focus on Azure services, • Design and implement database schemas, optimise queries and ensure data integrity, • Build resilient, performant systems capable of handling enterprise workloads, • Ensure backend services are secure, maintainable and scalable as usage grows System Architecture and Collaboration • Influence backend architecture decisions and help define engineering best practices as the team grows, • Work closely with the Head of Engineering, frontend engineers and product team to align technical execution with product priorities, • Collaborate with legal domain experts to understand workflow requirements and design appropriate backend solutions, • Support early customer deployments and troubleshoot production issues Candidate Profile Essential Requirements • Strong proficiency in Python with experience building production-grade backend systems, • Solid experience designing and building scalable RESTful APIs and microservices, • Deep understanding of relational databases, data modelling and SQL, with PostgreSQL experience preferred, • Experience with at least one major cloud platform, with Azure strongly preferred and AWS acceptable, • Understanding of authentication, authorization and security best practices in enterprise SaaS applications, • Knowledge of containerisation technologies such as Docker, • Strong problem-solving and analytical skills with attention to system performance and reliability, • Strong communication and collaboration abilities across technical and non-technical teams, • Comfortable operating in a fast-paced, early-stage start-up environment Desirable Requirements • Experience with infrastructure as code such as Terraform or Bicep, • Familiarity with Azure services including Azure Functions, Azure SQL, Key Vault, Blob Storage and Service Bus, • Experience building workflow or transaction-heavy systems, • Exposure to AI or LLM-based tooling such as OpenAI, Azure AI or LangChain, • Understanding of message queues, event-driven architectures or async processing patterns, • Experience in legal tech, fintech or another highly regulated domain, • Understanding of compliance, security and resilience requirements in enterprise software systems What Navys Offers • Competitive salary plus meaningful equity at an early stage, • A foundational engineering role with real ownership and impact on core backend systems, • Close collaboration with engineering leadership and founders, • Opportunity to grow as the company scales Equal Opportunity Employer We are committed to fostering a diverse and inclusive workplace. As an equal opportunity employer, we do not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. All qualified applicants will receive consideration based on individual merit and business needs.

Lead all infrastructure maintenance, repairs and statutory compliance across the ABBA Arena site ensuring that all venue assets, operational and life-critical systems are fully functional at all times. Reporting to the Site Director, you will support the strategy, planning and delivery of specific projects, including capital investment and infrastructure renewal. Collaborating closely with show technical production and visitor operations teams to ensure that ABBA Voyage is delivered seamlessly at all performances and that best-in-class customer experience is at the forefront of everything we do. You will have robust health and safety knowledge to help ensure the functionality, comfort, safety, sustainability and efficiency of our unique venue for all who work here and come to experience ABBA Voyage. ABBA Voyage is a revolutionary concert experience held at the ABBA Arena in Stratford, East London, near Queen Elizabeth Olympic Park. The ABBA Arena is a remarkable feat of engineering and design, purpose-built to host the groundbreaking ABBA Voyage concert. It accommodates 3,000 people (1,650 seated and 1,350 standing). It features digital avatars - known as ABBAtars - of the iconic Swedish pop group ABBA (Agnetha, Björn, Benny, and Anni-Frid), performing alongside a live 10-piece band in this purpose-built, high-tech venue. We are seeking an individual who has proven experience and strong track record working in high-pressure leadership roles in a public-facing venue or large-scale temporary event sites (e.g. arenas, stadiums, festivals, large-scale temporary sporting events – Formula 1, ATP tennis, etc) with a strong comprehensive knowledge and experience in site operations and/or facilities management. You will have experience of leading and influencing multiple teams employed and contracted with varied working patterns and environments, driving continued collaboration. You will have demonstrable experience in aspects of front-line response with regards to damage and faults across a site and venue and a practical approach to problem solving. The successful candidate will excel with facilities management, building management and compliance management, and will also have the ability to interpret technical drawings, building and equipment specifications. The candidate brochure can be viewed at ___. For a confidential discussion, please contact our advisors at The Management Recruitment Group, Connor Humpage () and Joe Glendon (). Applications should consist of a CV and Cover Letter and should be sent to before the closing date. Closing date for applications is Sunday 8th February 2026.

Golang Engineer A fast-growing London-based software company building highly scalable, cloud-native platforms used by thousands of customers worldwide seek a Golang Engineer to help scale the next generation of distributed systems. The engineering culture values clean code, ownership, collaboration, and continuous improvement. The Role You’ll be working on high-performance backend services and infrastructure powering mission-critical systems. You’ll have real influence over technical direction, architecture, and tooling, while collaborating closely with product, SRE, and platform teams. What You’ll Be Doing • Designing and building scalable Microservices in Go, • Developing and maintaining cloud-native applications running on Kubernetes, • Building APIs, internal tooling, and background processing systems, • Improving performance, reliability, and security of production services, • Contributing to architectural decisions and best practices, • Writing clean, well-tested, and well-documented code What We’re Looking For • Strong commercial experience with Go (Golang), • Hands-on experience deploying and operating workloads in Kubernetes, • Solid understanding of microservices architecture and REST/gRPC APIs, • Experience with cloud platforms (AWS, GCP, or Azure), • Comfortable with CI/CD pipelines and infrastructure-as-code, • A proactive, collaborative mindset Nice to Have • Experience with Helm, Terraform, Prometheus, or Grafana, • Knowledge of service meshes, event-driven systems, or Kafka, • Previous experience in high-scale or SaaS environments What We Offer • £100-£120k base + equity, • Once every other week in the office, the rest is WFH, • A supportive, engineering-first culture where your ideas matter

London or Manchester (Hybrid) | £50,000 – £80,000 + Equity About us At the forefront of using investment portfolios as security for access to credit, Firenze is emerging as the category defining leader in what is known as “Lombard lending”. We already work with some of the UK’s leading wealth management firms to unlock access to what has historically only been available to UHNW clients of private banks. Backed by top tier investors, Firenze is now scaling the team to continue to ensure our credit infrastructure is underpinned by innovation, cutting-edge technology, and an unwavering commitment to driving client outcomes. Role Overview As a Full Stack Software Engineer, you’ll design, build, and deliver customer-facing features across our greenfield platform. You’ll work end-to-end—crafting TypeScript frontends and robust Java back-ends—while learning from experienced engineers and contributing to a modern, scalable architecture. This is a hands-on role with plenty of opportunity to develop your technical depth, gain exposure to DevOps, cloud, and observability practices, and help define how we build software at Firenze. With no legacy systems, you’ll be shaping our platform from the ground up and growing alongside a team that values mentorship, learning, and engineering excellence. Key Responsibilities • Feature Delivery: Collaborate with senior engineers to deliver new features from design to production., • Back-End Engineering (Java): Build APIs and microservices using Java (Spring Boot, Micronaut, or Quarkus), with guidance on best practices for performance and reliability., • Front-End Engineering (TypeScript – Nuxt/Vue): Develop responsive, accessible UIs with strong component and state management., • Data & Integration: Work with PostgreSQL, caching (Redis), and messaging (Kafka/SQS) — learning how to design resilient data flows., • Quality & Testing: Contribute to our testing culture (JUnit, Playwright, CI pipelines) and learn how to scale reliable delivery., • Performance & Observability: Gain hands-on experience with monitoring tools and learn how to build observable systems from day one., • Documentation & Developer Experience: Help create clear technical docs and reusable tooling that makes development smoother for everyone., • Cross-Functional Collaboration: Partner with product, design, and experienced engineers to break down work, estimate effectively, and deliver iteratively. Requirements • Experience: 3+ years of professional software engineering, including full-stack work on production systems (fintech or startup experience a plus)., • Java Proficiency: Hands-on experience building APIs/microservices in modern Java (Spring Boot or similar)., • TypeScript & Vue: Solid experience developing production-grade web apps with TypeScript and Vue/Nuxt., • Web Fundamentals: Good grasp of HTML/CSS, accessibility (WCAG), and secure web app design., • Databases & Messaging: Familiarity with PostgreSQL and at least one of Redis, Kafka, or SQS., • Testing Mindset: Comfortable writing and running tests; familiar with CI pipelines (GitHub Actions, GitLab CI)., • Cloud & Containers: Exposure to AWS or another cloud platform and Docker. (Kubernetes or ECS a plus.), • Growth Mindset: Curiosity to learn new technologies, seek feedback, and develop alongside experienced teammates. Bonus Skills • Interest in event-driven or distributed systems (Kafka, RabbitMQ, SQS)., • Exposure to DDD, CQRS, or hexagonal architectures., • Experience with observability tools (OpenTelemetry, Prometheus, Grafana)., • Familiarity with multi-tenant SaaS, RBAC, or performance tuning (JVM, SQL). Why Join Us? • Learn from experienced engineers: Work side-by-side with senior teammates who value teaching, pair programming, and open design discussions., • Accelerate your growth: Gain exposure to architecture, DevOps, security, and observability while contributing to production systems early on., • Impact: Shape a greenfield fintech platform with real business influence and visibility., • Collaboration: Join a supportive, high-performing team that values curiosity, innovation, and shared ownership., • Career Development: Clear progression opportunities as Firenze scales — move towards senior or specialist roles with mentorship and hands-on experience., • Competitive Salary (£50,000-£80,000) depending on experience, plus equity participation. You’ll be part of a hybrid team based in London or Manchester, combining the best of in-person collaboration with the flexibility of remote work. You’ll join a culture that values continuous learning, feedback, and building things the right way — not the fast way.

Site Agent Galldris Group Location: Radlett Project, Hertfordshire An exciting opportunity has arisen for a Site Agent to join our London Region on our Radlett Project. To be considered, you will come from a Civil Engineering background with previous experience in Civils project delivery, in both pre-construction and construction stages. Strong experience in Civil Infrastructure work, RC structures and highways works. Working in high profile, Tier 1 environment with attention to health, safety, environment and quality. Able to work under own initiative. Can-do attitude. Good communicator. Assertive Team Leader. Able to work under pressure. Ability to build collaborative relationships. The Site Agent will be responsible for managing a team, including responsibility for health, safety, environment and quality in accordance with Galldris Management system and contract requirements. Key Accountabilities to include but not limited to: Health, Safety and Environment • Strong, visible, proactive leadership with regards to health, safety, environment and quality standards, • Contribute to the achievement of Galldris safety targets and zero tolerance of unsafe working practices and occurrences, • To establish and implement site systems and controls consistent with Galldris company standards and project requirements, • To ensure the production and communication of risk assessment and methods statements to the site supervision, • Support and endorse Galldris Behavioural Safety programme and the use of hazard and good practice observation reporting (or Customer led initiatives similar to above where required), • Contributing to the value engineering and buildability of the project. Agreement of programmes and methods of construction with Planner and other appropriate production personnel, • Ensuring that resource requirements, production outputs, overhead targets etc, are established, monitored and controlled, • Carry out constructive analysis of fully resourced programme and ensure production of operational target programmes to reflect the overall contract programme, • Leadership and management of a team, • Organisation of resources for the overall control and execution of the works including the selection of sub-contractors to carry out the works where necessary, • To secure materials and plant necessary to meet specifications and planned programme of work. Manage wastage and allowances of materials, • Ensure that RAMS, ITPs, MARs are signed off before any work commences. Ensure all testing regimes are in place and work inspection requests and check sheets are implemented and adhered to, • Manage all permitting and approvals, • Produce the temporary works requirements as the TWC or support with the management of the temporary works designs and safe implementation, • Considerable experience in Civil Engineering and Highways works, with strong technical knowledge., • Knowledge of the requirements and implementation of CDM Regulations, • Good knowledge of specifications and testing regime relevant to general civil engineering / specification for highway works, • Ability to produce RAMS, Task Briefing Sheets, and safe systems of work. Knowledge of Safety, Quality and Environmental systems, • Degree/HNC/HND in civil engineering or similar, • Member of the Institution of Civil Engineers or equivalent desirable, • IOSH Managing Safely, • SMSTS and CSCS Card Should you feel you have what it takes to be successful in this role then we would love to hear from you. Employee referral scheme - refer a friend or family member to work for Galldris. We look forward to hearing from you. Galldris is an Equal Opportunities employer and does not discriminate against any protected characteristic. Note for Recruitment Agencies: We are not using Recruitment Agencies for this role. In the event of speculative CV submissions, no fees will be applicable.

🔥 Software Engineer – Build a Platform Used by Millions Join a fast-growing consumer brand powering real-time, personalised customer experiences at scale. Package 💷 £70–90k + 5% bonus 🏢 Hybrid (2 days onsite, London) What you’ll do • Own the full lifecycle of services: API design, architecture, deployment, and production, • Build an internal platform delivering consistent, real-time communications across multiple digital touchpoints, • Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack • Node.js (TypeScript), Ruby, • Event-driven systems (Kafka), APIs, • AWS / GCP, Kubernetes Why it’s exciting • Work at scale in a high-traffic, consumer-facing environment, • Strong engineering culture: automated testing, reliable CI/CD, observability, distributed systems, • True end-to-end ownership and impact 📩 Interested? DM your CV and notice period today! 🔥 Software Engineer – Build a Platform Used by Millions

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Ripple is an established fintech company revolutionizing global finance with blockchain technology, offering a wide variety of financial services, including cross-border payments, institutional crypto liquidity, digital asset custody, and our enterprise-grade stablecoin RLUSD. As a Software Engineer at Ripple, you'll work on payment technologies, building scalable solutions that power the future of finance. Your primary responsibilities will be for a core part of the Payments offerings, Bank Integrations. This means serving as the single connectivity layer to banking partners, ensuring that data exchanged with external financial institutions remains correct, reliable, and always available. You will be responsible for facilitating the smooth distribution of this data from the connectivity layer to other parts of the company, powering both live production payment flows and reconciliation operations. The work includes maintaining and strengthening integrations with banking partners, resolving technical debt to improve stability, and evolving the platform to meet new business and compliance requirements. By advancing an already established production system, you will play a key role in increasing scale, efficiency, and observability, ensuring Ripple products interact seamlessly with global banks and payment providers in a consistent and trustworthy way. We are looking for a software engineer passionate about learning and understanding the way a complex fintech system works end-to-end and can help drive forward the development. A passion for making systems better and getting to the optimal solution with the right level of trade-offs is what will make you successful in this role. WHAT YOU’LL DO: • Integrate with new bank APIs and normalize to the internal system schema. Solving any bespoke integration approaches that will come up., • Advance the system forward to an optimal state with clear boundaries and responsibilities, • Work on our internal trading system (Prisma), • Work on a variety of challenges spanning crypto, trading, fintech, and payment solutions., • Fully integrate into a large system and spot opportunities for improvements and best practices., • Experience building highly scalable and performant enterprise software, • Working knowledge of Java and its ecosystem (i.e. threading, concurrency ... etc)., • A positive attitude and a passion for sharing knowledge - the go-to person on the team for small and large questions, • Interest in fintech, markets, and trading is a must., • knowledge or high interest in our main tools: Java, event-driven architectures (AMQP or similar), gRPC, service meshes, etc. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

About Locai Labs Locai Labs is The British Foundational AI Company, based in Paddington, London. We are dedicated to building world-class large language models at the forefront of cost, efficiency, and capability. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence, creating scalable models and intelligent systems that power next-generation applications for consumers and enterprises alike. Our work spans across: • Foundational AI model development, • Bespoke agentic applications for enterprise and consumer domains, • APIs and developer tools that enable intelligent automation The Role We are seeking a Software Engineer (Backend, AI Systems) to design and build the backend systems, APIs, and tools that power Locai Labs’ AI models and agentic platforms. You will work on a diverse range of challenges, from model-serving APIs and data pipelines to infrastructure for intelligent agents and automation frameworks. This is a hands-on engineering role for someone who enjoys solving complex technical problems and shipping impactful products. You will collaborate closely with the CTO and engineering team to design, build, and scale production systems that integrate AI into real-world applications. Responsibilities • Design and develop backend systems and APIs for AI-driven products and agent frameworks, • Integrate LLMs into scalable, production-ready systems, • Build internal tools and services to manage agents, workflows, and orchestration logic, • Collaborate with frontend, infrastructure, and research teams to deliver cohesive product experiences, • Contribute to system architecture, technical design, and engineering best practices, • Write clean, maintainable, and well-tested code Required Experience • 2–5 years of professional software engineering experience, ideally working on backend systems, APIs, or AI-related products, • Proficiency in Python and JavaScript/TypeScript (Node.js), • Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling, • Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar), • Familiarity with LLM or AI APIs, • Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.), • Practical experience with databases (SQL / NoSQL), • Strong foundation in software design principles and systems thinking, • Comfortable working in a fast-paced, early-stage start-up environment with ownership and autonomy Nice to Have • Experience with vector databases or embedding pipelines, • Understanding of event-driven or real-time systems (Kafka, Pub/Sub, etc.), • Knowledge of API authentication, access control, or multi-tenant architectures, • Familiarity with React or other front-end frameworks (for internal tools), • Interest in applied AI research, model fine-tuning, or reasoning agents Environment and Culture You will join a small, highly technical team where your contributions directly shape the company’s technology and products. We value ownership, curiosity, and pragmatism; every engineer at Locai Labs helps define architecture, infrastructure, and product direction. You will work on-site at our Paddington HQ, collaborating closely with the CTO and engineering team in a transparent, fast-moving, and innovation-focused environment. Application Process • Application Review – We evaluate your background and experience., • Take-Home Technical Assessment – A short exercise to demonstrate your engineering approach., • Technical Interview – Discussion of technical depth, design thinking, and problem-solving., • On-Site Session at HQ – Collaboration exercises and technical discussions with the team., • Offer – Formal offer and next steps. If this sounds like you, we would love to hear from you. Apply directly via the form below: (Strictly no agencies or recruiters. We are only accepting direct applications.)

About Us Electron is a fast-growing tech company in the energy flexibility space. We’re working to transform how electricity grids work, as the need for electricity doubles and the increase in renewables continues to add pressure to the grid. We’re looking to bring more passionate people into our team to help us do this! In just a few years, we’ve gone from pilot projects in the UK to over 50% market share with full platform deployments, becoming the leading platform for flexibility markets. As the UK is the most advanced country in the flexibility space, this also makes us the leading flexibility market platform globally too. More recently, we’ve expanded into the US through acquisition, marking the next phase of our global growth and enabling us to work with some innovative utilities in the US. At our core, Electron helps electricity networks use the grid more intelligently. As more electric vehicles, batteries, and renewables connect to the grid, traditional infrastructure struggles to keep up. Instead of just relying on expensive physical upgrades, Electron enables a smarter, faster solution. Our products allow utilities and grid operators to tap into flexible energy - working with resources like batteries, EVs, and other distributed energy resources - exactly when and where they’re needed. In simple terms, we help find value on the grid in real time, reducing costs, improving grid reliability, and accelerating the transition to clean energy. In the UK, we work with over half of the country’s Distribution System Operators and have already enabled 7 GWh of flexibility - helping networks connect more customers, avoid unnecessary infrastructure upgrades, and keep electricity flowing reliably. This, in turn, can reduce consumer bills in the long run too! Electron is a mission-driven tech company with real-world impact. We’re building the digital foundations of the modern electricity grid in an ever changing energy world - making it cheaper, cleaner, and more resilient - and we’re looking for people who want to shape the future of energy with us. The Role The Software Engineer (Mid-Level) is responsible for contributing to the development and improvement of Electron’s energy trading platform and innovation projects. This role focuses on building reliable, well-tested software while continuing to deepen technical expertise. Working closely with senior engineers, the role supports delivery across the full development lifecycle and plays an active part in agile, collaborative teams. How We Work • The engineering team gets together twice a week in our London office., • We work in agile teams, delivering value efficiently from a prioritised backlog., • We release to production early and often., • Automated testing and CI/CD pipelines enable teams to own the full delivery lifecycle., • Collaboration, pairing and shared ownership are core to how we build software. What We Offer • Salary: £50,000 - £70,000 depending on experience, with the ability to participate in the success of the company through our share option scheme, • Flexible working: Hybrid model with 2 days/week in our London office, • Benefits: Pension scheme, 25 days holiday plus bank holidays, • Growth: Direct mentorship from senior engineers, ownership of features, and opportunities to expand your technical skills across our full stack, • Impact: Work on technology that's directly enabling the clean energy transition and helping achieve net-zero, • Culture: Collaborative, learning-focused team where knowledge sharing, pair programming, and continuous improvement are core values Responsibilities Collaboration & Ways of Working • Work as part of a tight-knit, agile engineering team delivering value iteratively, • Pair program where appropriate to learn from others, share knowledge and improve quality, • Collaborate closely with product, delivery and other technical team members, • Actively contribute to continuous improvement of team practices and processes Technology & Platform Development • Contribute to the development and maintenance of features across Electron’s energy flexibility trading platform, • Work primarily with Angular on the frontend and ASP.NET Core on the backend, • Build and consume Web APIs and event-driven services, • Work with relational databases (PostgreSQL) and gain exposure to NoSQL data stores Technical Growth & Best Practice • Write clean, maintainable, and well-tested code, • Contribute to automated testing and CI/CD pipelines, • Learn and apply engineering best practices with guidance from senior team members, • Take part in code reviews, pair programming, and technical discussions Who We are Looking For We're seeking an engineer who is curious, adaptable, and eager to grow. You don't need to have worked with our exact tech stack - we value relevant experience and the ability to learn over perfect matches. Essential • Experience building web applications with modern frontend frameworks (React, Vue, Svelte, or similar - Angular experience is a bonus but not required), • Backend development experience with a strongly typed language (C#, Java, TypeScript, Go, Kotlin, or similar), • Understanding of RESTful APIs and web application architecture, • Experience with relational databases, • A collaborative mindset and willingness to pair program and share knowledge, • Enthusiasm for learning new technologies and approaches Desirable: • Exposure to event-driven architectures, • Experience with automated testing and CI/CD pipelines, • Experience with cloud-based infrastructure Most importantly, we're looking for someone who is genuinely excited about contributing to the clean energy transition and working in a team that values learning, collaboration, and continuous improvement.

We’re seeking a highly skilled Senior Software Engineer with expertise in C#, .NET and Azure. In this role, you’ll design, develop, and deliver high-quality software solutions within agile teams, working across the full development lifecycle. You’ll collaborate closely with engineers, architects, DevOps, and product owners to build robust, scalable, and cloud-ready applications that meet business needs. This is a hands-on engineering position where you will contribute to architectural decisions, mentor other developers, and play a key role in shaping the technical direction of our platforms. Key Responsibilities • Design, build, and maintain software solutions using C# and .NET technologies., • Develop and integrate cloud-based services on Microsoft Azure, including Azure Service Bus and related messaging technologies., • Work with architects and stakeholders to define technical solutions aligned with business requirements., • Implement clean, maintainable, and well-tested code following best practices and design patterns., • Build APIs, microservices, and event-driven solutions that are performant and secure., • Ensure high availability, scalability, and reliability of applications through effective system design and testing., • Contribute to CI/CD pipelines and DevOps practices to streamline deployments., • Collaborate in agile ceremonies including sprint planning, daily stand-ups, and retrospectives., • Troubleshoot complex production issues and provide timely resolutions., • Mentor junior developers and contribute to a culture of continuous learning. Skills & Experience • Strong, proven experience with C# and .NET (Core or Framework)., • Hands-on experience with Microsoft Azure services, including Azure Service Bus or other messaging systems (e.g., RabbitMQ, Kafka)., • Strong understanding of messaging patterns, asynchronous processing, and distributed system design., • Proficient in building RESTful APIs and working with JSON/XML data formats., • Experience with SQL and database design (SQL Server or similar)., • Familiarity with microservices architecture and containerized deployments (Docker, Kubernetes)., • Good understanding of software design principles such as SOLID, Clean Architecture, and Domain-Driven Design., • Experience with CI/CD pipelines and version control (GitHub, Azure DevOps, or similar)., • Knowledge of security best practices for cloud-based applications., • Strong problem-solving skills, analytical thinking, and attention to detail., • Excellent communication and collaboration skills, comfortable working across technical and non-technical teams. Additional Competencies • Experience with event sourcing, CQRS, or stream processing is a plus., • Exposure to automated testing frameworks for .NET applications., • Understanding of performance tuning, scalability, and resilience in distributed systems., • Passion for technology, with a willingness to explore and learn new tools and frameworks., • Ability to work independently as well as in a collaborative, agile team environment.

Test procedures in lab environment and ensure successful and event less deployment in production network. Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance with test engineers, desig. Work closely with Network Design team to review and u

We are searching for a Senior Audio Visual Technician to lead the day-to-day delivery of AV services and ensure high-quality event production and technical operations. The role involves assigning and supervising daily tasks for AV technicians, setting up and operating AV, lighting, digital displays,

One of Londons leading luxury events companies is looking to recruit a Chef De Partie to help with the quality production and delivery of bespoke events. Apply now to be considered for this Chef De Partie role. Previous experience as a Chef De Partie in quality kitchens, with an interest in event ca

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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. Want to do the best work of your life? With 24 million customers in 7 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. What you'll do • Work closely with Network Design team to review and understand business requirements, high-level designs, and low-level designs., • Prepare provisioning procedures ( MoP ) for the deployment of Core Network capacity expansion upgrades/migrations as well as the release of new projects/services., • Deploy those procedures in the production network during out of business hours., • Test procedures in lab environment and ensure successful and event less deployment in production network., • Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance with test engineers, desig...

Account Manager - Brand Partnerships & Motorsports.Amazing Account Manager opportunity with a leading brand activations and motorsports event / production agency!.With a pedigree in delivering brand activations, brand partnerships and live events for a myriad of sporting events, this agency is a

Deploy those procedures in the production network during out of business hours. Test procedures in lab environment and ensure successful and event less deployment in production network. Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance w

Test procedures in lab environment and ensure successful and event less deployment in production network. Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance with test engineers, desig. Work closely with Network Design team to review and u

Founded nearly 20 years ago, this company is a specialist live events production partner delivering creative lighting, technical production and immersive experiences for brands, agencies and venues across the UK. Are you an experienced technical project or events manager with expertise in live event

Deploy those procedures in the production network during out of business hours. Test procedures in lab environment and ensure successful and event less deployment in production network. Gain a high-level detailed knowledge of hardware and software to consult in feature availability and performance w

Sales Executive – Events Delegate Lead, London 4 days A mix of sales and campaign management. About us: Benchmark Mineral Intelligence (Benchmark) is the world’s leading IOSCO-assured price reporting agency (PRA), proprietary data provider, and market intelligence publisher for the lithium-ion battery to electric vehicle (EV) supply chain. Our granular expert focus on the entire supply chain makes us unique: from lithium and cobalt mining through to the manufacturing of cathode and anode functional materials, to battery cell and EV production. At Benchmark, we set the industry’s reference and benchmark pricing for battery and critical minerals. Our series of price assessments and data methodologies allow us to collect our proprietary data from the source, creating data that is relied upon by the industry to make multi-billion-dollar investment decisions that accelerate the energy storage revolution. As a result, our services are relied upon by major actors in the EV supply chain, we have testified to the US Senate multiple times and advised The White House, The Pentagon, and government agencies around the world. Purpose: You will be responsible for generating delegate sales revenue and managing the delegate sales campaigns for Benchmark’s series of paid for industry events. This consists of personally delivering on commercial targets within an assigned set of existing and new business clients. Essential you can make calls out as email outreach. The role will require strategic planning and messaging to key audience groups, execution of said plans, utilising in house resources and collaborating A good team ethic and strategic thinking is required to excel in this role. A collaborative mindset is essential in order to structure delegates campaigns with peers in acquisitions, marketing and sponsorship’s input and ensure both targets and personal KPIs are achieved. Responsibilities: • This role focuses on reaching out to both new business leads and existing clients to sell tickets for each of Benchmark’s paid for events that take place during the year., • Also search for target business opportunities, identifying prospects, partners, and stakeholders to scope sales opportunities and upselling opportunities., • Engage with customers effectively, understand their needs, and articulate effective solutions via our range of premium events and products., • Manage the follow-up of the projects on our CRM system and the sales pipeline daily., • Engage and explain to prospects the events offers and event features and benefits., • Feedback market information to Product Managers as well as reflecting this in your feedback to the senior sales teams., • Continually expand your knowledge and expertise around our product offer and keep up to date with sector developments and your own skills development., • Meet and/or exceed the sales and KPI targets set., • Coordinate and follow up with internal stakeholders and prospects regularly using the company sales software and control systems, ensuring sales data is up to date each day. Qualifications / Experience: • Proven previous relevant experience working in a delegate sales environment., • You don’t need specific industry knowledge to be successful in this role, but previous experience in an event selling role would be an advantage. Personal Characteristics: • Good communication, both verbal and written and able to comfortably speak to all levels up to C level., • Good listener, ability to understand customer requirements and relate them to the available offer made., • High levels of resilience, determination, and persistence., • Good attention to detail when sending emails to customers and inputting information into the CRM platform., • Ability to deal with deadlines in a fast-paced commercial environment, meeting the needs of your customers., • Ability to be flexible to deal with the global nature of the role., • Well organised and self-motivated, with an ability to prioritise effectively., • Excellent people skills and confident when client-facing., • Ability to work well independently and as part of a team. Benefits include: • Competitive Salary + commissions, • 25 Days Holiday (fixed) + 1 day off for your Birthday, • 2 Mental health days per year, • Statutory Pension Contribution, • Staff social events

Job Title: Senior Venue Account Manager (AV Services) Location: London, UK Salary: £42,500 - £47,500 (dependent on experience) Package: Up to £55,000 with commission and bonus Job Type: Full-time, Permanent Our client is a leading provider of innovative technical production and AV solutions for the corporate events industry. They deliver exceptional event experiences across Europe, with a dedicated team offering cutting-edge services for corporate conferences, gala dinners, sporting events, and more. They are committed to delivering high-quality AV services that exceed expectations, ensuring every project resonates with the brand and engages audiences effectively. Job Role They are seeking an experienced and dynamic Senior Venue Account Manager (AV Services) to join our team. You will play a key role in managing a talented AV team at a brand-new, state-of-the-art convention centre opening in 2026. The venue features advanced AV technology, including large-format LED screens, and offers a variety of spaces to accommodate a wide range of events. As the Senior Venue Account Manager, you will be responsible for overseeing the on-site AV team, ensuring resources are optimised, and working closely with the venue’s sales and events teams to deliver outstanding technical solutions for clients. The role requires a balance of strong leadership skills, technical expertise, and the ability to build and maintain lasting client relationships. Key Responsibilities • Team Management: Lead and manage the on-site AV team, ensuring effective resource allocation and coordination with the venue’s sales team., • Client Consultation: Assist the venue’s events team by providing expert AV advice, participating in client show rounds, and offering creative solutions to enhance events., • Proposal Development: Work with the events team to develop and produce quotations and proposals tailored to clients’ needs., • Resource Management: Collaborate with the in-house team to ensure the right AV resources are identified, booked, and prepared for each event., • Relationship Building: Build and maintain strong relationships with the venue’s events team and other key personnel, ensuring seamless communication and collaboration. What We’re Looking For We are looking for a proactive, self-motivated professional with a proven track record in AV account management or as a Venue AV Manager. You should be capable of offering creative, client-focused solutions and managing teams effectively. Key qualifications include: • Experience: Proven experience as a live events AV Account Manager, Venue AV Manager, or in a similar role, with a solid understanding of corporate events., • Technical Expertise: Previous experience as an AV technician is essential, whether in a venue, as part of an AV events company, or as a freelance technician., • Sales Drive: Strong sales instincts and the ability to identify opportunities to expand client relationships and deliver comprehensive AV solutions., • Skills: Exceptional organisational and communication skills, both written and verbal. A strong command of Microsoft Office (Word, Excel, PowerPoint) is required., • Generous Commission & Bonus Scheme, • Private Medical Insurance, • Electric Vehicle Car Scheme, • Buy/Sell Holiday Scheme, • Enhanced Maternity/Paternity Leave, • Season Ticket Loans & Free Railcard, • Flexible Working Hours (subject to role requirements), • Training & Development Opportunities, • Bike2Work Scheme

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced AI/ML Developer seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with AI/ML Developers who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • Experience conducting user research for software or AI applications., • Solid understanding of generative AI and large language models., • Strong programming skills, including testing and debugging., • Familiarity with agile development practices and modern software tools (e.g., Git/GitHub)., • Experience deploying AI/ML-powered applications., • Knowledge of AI/ML evaluation techniques, including safety and robustness testing., • Familiarity with benchmarking and performance evaluation of ML models., • Degree in a quantitative or engineering discipline (e.g., Computer Science, Engineering, Bioinformatics) or equivalent professional experience. What You Might Be Doing As a AI/ML Developer at GSK, you could get involved with: • Designing and implementing safety metrics for generative AI applications, especially those involving language models., • Conducting user research to identify risks, failure modes, and usability challenges in AI-powered systems., • Integrating AI/ML components with frontend, backend, data pipelines, and compute infrastructure., • Writing high-quality, maintainable code and participating in peer code reviews., • Collaborating with data engineers and cross-functional teams to build end-to-end ML pipelines., • Delivering insights from generative AI datasets using ML and data analysis techniques., • Supporting the deployment and monitoring of AI/ML models in production environments. Why Join Our Talent Pool? • Be the first to hear about new AI/ML Developer roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about AI/ML and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

Account Director (Formula 1) This is an exciting opportunity to become a senior member of a fast-paced Partnerships Team, shaping global sponsorship programmes, driving innovation, and delivering unforgettable experiences for clients and guests alike. Key Responsibilities: • Client & Stakeholder Leadership: Act as the senior point of contact for clients, rights holders, vendors, and partners. Provide strategic guidance, innovative ideas, and ensure all programmes align with brand objectives and deliver measurable impact. Manage communications across global and local markets., • Events & Hospitality: Oversee planning, delivery, and execution of global VIP hospitality programmes and high-profile event activations. Manage suppliers, production, and the build of event spaces. Ensure seamless guest logistics, including travel, accommodation, access, and ticketing. Lead C-Suite and executive experiences, ensuring premium standards are met., • Team Leadership & Development: Lead, mentor, and inspire internal teams, freelancers, and junior staff. Drive performance, delegate effectively, provide feedback, and support professional development. Foster a culture of collaboration, creativity, and continuous improvement., • Project & Financial Management: Develop project scopes, timelines, and resource plans. Manage budgets, track KPIs, oversee contracts, and ensure accurate financial reconciliation and reporting. Identify opportunities to grow the client relationship and drive business development., • On-Site Leadership & Performance Analysis: Lead operations at international events, ensuring high-quality execution and real-time problem-solving. Provide post-event analysis, insights, and recommendations to enhance future programmes. Continuously improve workflows and processes to maximise efficiency and client satisfaction. Requirements: • 5+ years’ experience in sports partnerships, marketing agencies, or hospitality account management, ideally with Formula 1 experience., • Proven ability managing complex, multi-national client accounts and cross-agency teams., • Experience delivering premium VIP hospitality and multi-faceted event activations., • Strong financial management, project planning, and organisational skills., • Expertise in stakeholder management, including C-Suite engagement., • Excellent communication and presentation skills., • Comfortable working across time zones and traveling internationally, including weekends., • Proficiency in Microsoft Office and guest management/ticketing systems. Please note - this is a London-based role and includes occasional international travel. If this sounds like the role for you, please apply now!

Bovis builds enduring partnerships, bringing together the right expertise, the right capabilities and the right resources to deliver the most complex projects. We know from decades of experience that successful delivery of multi-year complex projects requires close working relationships and collaboration through the supply chain. That’s why we share risk and invest in people and relationships at every level. We make things happen, anticipating challenges before they arise. Drawing on our highly experienced, multi-disciplinary teams, we bring a fresh perspective, tailoring our approach to the specific demands of the project, helping to simplify complexity and minimise risk. What we are recruiting for: We are currently recruiting for a Senior Bid Manager to assist us in winning work within the London Construction business unit. It would give the successful candidate the opportunity to work on tenders up to £600m in value. The position is to understand the objectives of the Work Winning team and to play a key part in the production of compelling materials mainly through bid and proposal management on key sections and production of well written responses. The role of Bid Manager is to assist and or lead in the bid process from development of initial win strategies, PQQ’s, through submission and, where appropriate, successful contract award. You will manage all aspects of bid development to achieve the successful conversion of project opportunities in order to secure the workload necessary to the delivery of the business plan. You will be accountable and responsible for your bids. A good understanding of the bid process, win strategy, storey boards, PQQ submission and project management of the bid process is essential. Roles & responsibilities: • Interrogate ops team to extract detail behind project specific questions, • Populate capture plans based on feedback from Operations teams and other data (e.g. corporate and trade websites), • Create compelling supporting documentation for certain negotiated opportunities, • Interrogate bid/pqq and supporting documents to understand project and requirements., • Identify an approach to defining bid strategy and win themes, • Clear communications with the operations team, • Manage the delivery of bids or parts of bids, • Lead answer planning sessions and develop bid answer structures to define the most compelling and engaging response to client, • Write impactful, tailored, technically differentiated bids, • Identify and re-work existing pre-written content where relevant., • Deliver completed written bid responses against agreed deadlines, • Re-write / edit proposal responses from a variety of stakeholders with the business, • Communicate and influence at a senior level. Experience & background: • Experience of designing and implementing work winning initiatives and/or expert knowledge and in-depth understanding of customer and bid management., • Extensive experience of developing bid strategies and win themes; writing bids, marketing materials and other customer facing collateral in line with agreed deadlines; and producing high quality, visual impactful collateral., • Skilled in related disciplines such as leading answer planning sessions with bid team members, drafting compelling prose, and editing written content provided by others., • Demonstrable capabilities in the interpretation of public sector scoring/marking criteria in tenders to structure answers that are clear and fully answer the question., • Problem solving, technical and analytical skills with the ability to work through complex issues and guide and coach others in the resolution of problems., • Excellent verbal and written communication and interpersonal skills to influence and build relationships with key stakeholders. We will provide: • Car allowance, • Flexible and hybrid work options, • Up to 10% employer pension contribution, • Private medical health benefit, • Enhanced parental leave, • Life assurance, • 25 days annual leave with the option to buy or sell additional days, • 3 days wellbeing leave in addition to annual leave, • Health and wellbeing support and initiatives, • 24/7 confidential Employee Assistance Programme including direct access to Talking Therapies and Coaching services, • Discounted gym membership to over 2,500 gym’s nation wide, • Enhanced family leave benefit and in addition to this, life event leave. Belong at Bovis We offer workplaces that unite diverse minds; where respect, equal treatment and equal opportunity are just the norm. We are a disability inclusive employer. If you need any adjustment or changes to the process, email us to let us know if you have a preferred communication method. We build careers, develop skills, and invest in people. Imagine what more you can do here. Bovis is committed to being a diverse and inclusive employer of choice by engaging, enabling and empowering our people. All qualified applicants will receive consideration for employment, and we are happy to consider flexible working arrangements. Inclusion sets us all up for success and we particularly encourage applications from currently under-represented groups in our industry including those who self-identify as women, black, Asian, minority ethnic, lesbian, gay, bisexual, transgender and/ or disabled. Bovis Building Relationships We do what’s right, always We succeed together We bring energy We are Bovis (Please not our vacancies are hosted by others)

IDM supplies high-quality print, packaging, and retail collateral to brands and agencies worldwide. Operating in central Paris since 1971, IDM combines traditional print and sustainable technologies to deliver beautiful print projects. Specialising in litho, foiling, embossing, silkscreen, packaging, fulfilment, and creative services. IDM partners with our client base globally via our satellite offices in London, NYC and Geneva. We are looking for a creative savvy, sales developer to help drive new business and manage projects within the UK market. PROFILE Working as part of our London team, you will be responsible for spearheading growth within key sectors within the UK and EU. Working to set growth targets as part of the existing UK team, you will represent IDM in pitching creative production services to our target clients. You will be responsible for developing and selling projects. Alongside the production teams in the UK and France, you will oversee project completion and ensure customer satisfaction. Experience in creative / creative production is needed to connect and engage with design and marketing teams within brands. You will need to be able to think on your feet and be able to accommodate urgent briefs and multiple changes. Based from our London studio, you will help boost and sustain growth with key accounts. KEY RESPONSIBILITIES • Prospect for new business within key target markets • Build relationships within event, PR and Graphic design teams • Drive growth within key sectors • Support the production team in sampling and project management KEY TARGET SECTORS • Luxury goods (Leather goods, clothing, cosmetics, fragrance, W&J) • Wine & Spirits • Hospitality • Tech & Entertainment • Finance • Galleries & Institutions KEY ATTRIBUTES • Self drive to meet commercial targets • Passion for creative solutions • Ability to network • Attention to detail • Clear communication POSITION: Brand Development Manager SKILLS: Business Development, Project Management, Creative Production LOCATION: London / Split between office and remote HOURS: Full time, Monday - Friday SALARY: 45k£ to 60k£ base salary plus sales commission HOLIDAY: 28 Days excluding public holidays

Lead Backend Developer – Node.js, TypeScript, Kafka - up to £80k Leading E-commerce Brand | Up to £80,000 | Hybrid (2 days/week in London) A leading e-commerce client is looking for a Lead Backend Developer to help shape the technical direction of a highly scalable, event-driven platform. This role combines hands-on development with technical leadership, working in a Node.js, TypeScript and Kafka environment. You’ll play a key role in architectural decisions while mentoring engineers and driving engineering standards across the team. The Role • Lead the design and development of backend services using Node.js and TypeScript, • Own and evolve an event-driven architecture, leveraging Kafka for asynchronous communication, • Make key architectural decisions around scalability, performance and reliability, • Work closely with product and engineering leadership to align technical strategy with business goals, • Mentor and support engineers, fostering best practices and high engineering standards What We’re Looking For • Extensive experience with Node.js and TypeScript in production environments, • Strong background in event-driven architecture, ideally with Kafka, • Proven experience designing and scaling distributed systems, • Previous experience in a technical leadership or lead role, • Confident communicator who can influence both technical and non-technical stakeholders Salary & Benefits • Salary up to £80,000, • Hybrid working: 2 days per week in London, • High level of ownership and influence over platform architecture, • Opportunity to lead development on a large-scale e-commerce system, • Supportive, modern engineering culture with real autonomy Lead Backend Developer – Node.js, TypeScript, Kafka

Account Director - Motorsport Brand Activations & Events London / Hybrid £60,000 - £70,000 + benefits Rare opportunity to join this leading brand activations and motorsports event / production agency as an Account Director! The company With a pedigree in delivering brand activations, brand partnerships and live events for a myriad of sporting events, this agency is a leader in the industry. Working with brands on a global scale, they curate VIP guest experience programmes, corporate hospitality and track side experiences with the highest quality and service. Due to exciting client account wins this great company are growing their usually very stable team with this lovely Account Director role. The role As the Account Director you will take the lead on managing and growing key account relationships and supporting the Senior Account Director in seeking out new business opportunities. This is a strategic role where you will nurture, develop and grow accounts whilst overseeing the team to deliver a range of experiences and brand activations across worldwide motorsports events. About you A strong agency background within client services roles and a proven background in growing accounts and revenue is essential for this role, alongside a good grounding in working for a motorsports focused marketing / events agency. A highly professional manner with the ability to communicate with C-suite and VVIPs is key for this role, additional languages would be a huge bonus! Brilliant opportunity for a great agency - get in touch! Get in touch with us to register your details if you are interested in other positions - we specialise in events, production, AV, creative, marketing, comms & advertising.