Favourite jobs in LondonCrear alertas

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.

Acer Recruitment are helping one of our favourite clients find a Nursery Practitioner for their friendly setting in Bromley. The qualified Nursery Nurse will be expected to provide high quality, flexible childcare for families from the local xwzovoh communities and further afield.

The Scarsdale Tavern is an iconic pub that has won the hearts of the Kensington glitterati.Nestled on Edwardes Terrace, it is the ultimate favourite haunt of the area's elite, renowned for its warm embrace, incredible food, and decadent drinks.As the worst kept secret in Kensington, The Scarsdal

J Sheekey, an institution situated in Leicester Square, is an iconic seafood restaurant celebrated for its rich heritage, exceptional cuisine, and unwavering commitment to providing an extraordinary dining experience.With a history dating back to 1896, J Sheekey has been a favourite among Londoners,

Looking for an easy way to earn extra cash? Whether you’re on your commute or relaxing at home, HeyCash lets you turn your spare time into immediate income.Signing up is free and takes only a few minutes.You choose how to earn: by taking part in interesting surveys about your favourite brands or b

Packaging Engineer Location: Vauxhall, London (with planned relocation to South East London in mid-2026). Type: Full-time About MOMO Kombucha We are on a mission to produce the UK's best-tasting and highest quality kombucha. To achieve that we brew the traditional way and leave our kombucha unfiltered for a fuller depth of flavour. Plus, we’re certified organic: better for you and better for the environment. With every bottle of MOMO, we hope to inspire people to live healthier and more connected lives. We’re a proud B Corp and featured on The Sunday Times Best Places to Work list in 2024 and 2025. You’ll find MOMO in Ocado, Riverford, GAIL’s, Planet Organic, Whole Foods Market, and over 1,200 independents. Founded in 2018, we’ve grown rapidly and are now preparing to scale over the next five years, to become the UK’s favourite kombucha. The kombucha category is set to explode and poised for many decades of structural growth driven by three mega trends: 1) gut health; 2) low sugar; and 3) alcohol alternatives. In our view it is where craft beer was in the UK 15 years ago. The opportunity We're looking for a detail-driven engineer to join our engineering team (currently two engineers) to take responsibility for the maintenance, reliability, and engineering performance of our bottling line - in close collaboration with our Packaging Lead. As Packaging Engineer, you will act as the technical owner of bottling equipment, ensuring our line is well-maintained, reliable, and engineered to deliver consistent quality and scalable throughput. You will own bottling line maintenance planning and execution, while also looking for opportunities for performance optimisation, design improvements, and continuous improvement initiatives. The focus is on building out robust, maintainable systems that reduce downtime, improve repeatability, and support MOMO’s growth. Initially, you will prioritise establishing strong bottling line maintenance and reliability. Once embedded, your focus will increasingly shift towards performance optimisation, line upgrades, and engineering projects to support scale-up and future site relocation. As Packaging Engineer at MOMO, you will play a pivotal role in scaling our packaging from ~45,000 bottles per week to 250,000+ over the coming years, delivering on line upgrades and engineering projects to support us getting there. What you’ll do Bottling line maintenance & reliability Own the maintenance and reliability of bottling lines, including fillers, cappers, labellers, conveyors, packers, and cleaning systems. Plan, execute, and continuously improve preventative and predictive maintenance for bottling equipment. Diagnose and resolve bottling line faults. Lead root cause analysis for recurring breakdowns and implement permanent engineering fixes. Maintain accurate maintenance records, spare parts requirements, and technical documentation for bottling equipment. Bottling line performance engineering Analyse bottling line performance using OEE, downtime, and failure data to identify equipment constraints. Engineer solutions to improve throughput, reliability, and line balance rather than short-term operational workarounds. Define and maintain technical standards for bottling line setup, control parameters, and performance limits. Support speed increases, changeovers, and process improvements from an engineering perspective. Process Design & Continuous Improvement Lead continuous improvement initiatives across bottling operations, reducing unplanned downtime, waste, and variability. Design and validate engineering modifications to improve equipment robustness, maintainability, and safety. Complete structured trials to validate process changes and equipment modifications. Document engineering changes and ensure changes are controlled and repeatable. Capital Projects & Line Development Support bottling-related capital projects, including equipment upgrades, refurbishments, and capacity expansion. Support equipment specification, supplier engagement, installation, and commissioning activities. Provide engineering input into bottling line layout, utilities, and integration for future site relocation and scale-up. Quality, Safety & Compliance Ensure bottling equipment is maintained and operated in compliance with food safety, quality, and health & safety requirements. Support risk assessments, validations, and engineering change control processes. Work with the Quality Lead to investigate bottling-related quality incidents and implement engineering corrective actions. Cross-Functional Collaboration Work closely with Production to align maintenance activities with production plans and minimise disruption. Collaborate with Production and Compliance teams to ensure bottling systems are reliable, scalable, and audit-ready. Act as the primary technical interface with equipment manufacturers and external contractors for bottling equipment. Communicate clearly with management on bottling line condition, risks, and investment needs. What you’ll bring 3+ years experience in Mechanical, Electrical, Manufacturing, or Process Engineering. Proven experience maintaining and engineering bottling lines in a drinks manufacturing environment. Strong hands-on capability across mechanical systems, with working knowledge of electrical and control systems. Experience implementing preventative maintenance strategies and reliability improvements. Ability to diagnose complex bottling line failures and engineer permanent solutions. Experience delivering engineering-led continuous improvement and capital projects. Solid understanding of food safety, quality systems, and health & safety requirements. Ideally with experience of SALSA, BRCGS or equivalent. Comfortable working in a scaling, hands-on environment where engineering ownership is critical to performance. What you’ll get · Competitive salary based on experience · Quarterly bonus scheme + share options · Early finish Fridays · £250 annual wellness budget · 1 volunteer day per year (paid) · 26 days’ holiday, plus 1 extra day every two years (up to 30 days) · Work with a B Corp that donates 1% of revenue to charity and is committed to improving its impact every year Our values All team members are expected to act in line with our values: 1. Act with Gratitude, 2. Brew a Healthy Culture, 3. Live Unfiltered, 4. Grow Together MOMO Kombucha wants to be challenged on its operations and processes and is always looking for ways to do better by its team, customers, suppliers, community, and the environment. You will be expected to contribute ideas and provide input into this process. How to apply Send your CV to , along with responses (max 80 words each) to the following questions: 1. Why would MOMO be lucky to have you?, 2. If you could develop our next flavour, what would it be and why?, 3. Name three people who inspire you and why., 4. How do you create balance in your life?, 5. Salary expectations? Diversity & inclusion MOMO Kombucha is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants of all backgrounds, beliefs, identities, and abilities. We’re committed to making the interview process as accessible as possible. Please let us know if you require any adjustments or support.

As Assistant Development Manager, you will contribute to our vision of being the UK's favourite residential property manager by: Demonstrating the values in all aspects of your work and communication, to develop strong relationships and enhance work quality.

As a Chef de Partie at Sams, youll take charge of a specific kitchen section, ensuring dishes are consistently executed to the highest stan. Recently nominated by the public as the 2nd favourite restaurant in London in 2023, in the Harden's Guide. Our commitment to excellence in hospitality is match

Acer Recruitment are working with one of our favourite clients in the London Borough of Bromley to find a Level 3 Nursery Practitioner for their fantastic setting.This client accepts 3, 4 or 5 days per week however, they must be full nursery days This Nursery is a small and friendly setting with a

Join the UK’s number one fitness brand and favourite gym as a. Access to the best fitness discounts exclusive to PG Personal Trainers.

Business Development Manager – Recruitment, London, Negotiable Salary + Commission If you have a background in sales or business development, then we want to talk to you! We are looking for a Business Development Manager to join us here at COREcruitment. We are a global recruitment agency, specialising in Hospitality and service sectors. We’re a different kind of placement agency, putting relationships at the forefront of our processes and committed to accelerating ambitions for both our clients and candidates. We are seeking someone who thrives in a fun and fast-paced environment, is prepared to work hard and has bags of personality! What we can offer you: • Competitive salary, • Attractive commission structure, • Regular team building and occasional team holidays, • Hybrid working, • Holiday entitlement increasing YoY, • Career development, • 2 weeks working fully remotely from anywhere in the world The Ideal Candidate: • Ambitious and career driven, • Previous experience in a sales or business development role, • Personable and friendly, • Self-starter – able to manage your own time, • The ability to actively develop new business leads and negotiate contracts, • Networking capabilities to build and maintain industry relationships, • Passionate about customer service and hospitality If you are interested in having a chat about this role, please forward updated CVs to Mark at COREcruitment / COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

WHO ARE WE? CASK launched in 2011 in London, offering 360-degree solutions to both emerging and established alcohol brands. CASK is a company of people, not a company of brands. Our reputation is everything. We have built ours slowly over the past 15 years & hopefully, we carry these values into how we represent the brands in our portfolio. As the company has grown, CASK has developed into an established agency within the UK drinks industry. CASK works across many different clients, weaving into the fabric of each campaign a range of knowledge from sales strategy, branding, marketing, social media, and PR. We understand the difference between these interlinked skill sets and provide a bespoke plan for every brand. This understanding is at the core of the CASK offering. CASK looks for creative solutions to make ordinary products extraordinary. CASK stands to disrupt, inspire and influence. Some clients are already established and looking for new ideas; others are start-ups in the early stages of their brand definition. Big or small, the goal remains the same - to create the right strategy to hit the right audience and raise brand visibility, placing them directly in the eye-line of potential customers and forcing their competitors to take note. Our Mission is to be the UK’s number one drinks brand-building agency…known for disrupting spirit categories and representing the bartender’s favourite brands. All killer, no filler…..the CASK portfolio continues to be eclectic and compelling. RESPONSIBILITIES The role of the Business Development Manager is to cultivate and grow existing & new relationships within the On & Off-trade. Making that happen involves duties such as: acting as a liaison between the client and departments within CASK to convey information, ensure understanding, and make certain everything gets done in an accurate, timely manner. This specific role covers On-Trade accounts in London with some reach into the Independent Retail channel. The role is five days per week and reports to the Sales Manager. The role’s key responsibilities are: • To achieve long-term growth and profitability for the business, • Identify and seek out new business opportunities., • Negotiate and implement new agreements., • Maintain and develop reporting procedures using CRM tool (Bowimi), • Develop the equity of the brands CASK represents, with an emphasis on profile and desirability. PROFILE Core Skills · Minimum 1 year’s commercial experience in Wines & Spirits industry · Strong Negotiation and influencing skills · Ability to build relationships quickly, in a friendly, supportive, and trustworthy manner. Industry Knowledge · WSET level 1 Spirits and Wine or bar management experience for a minimum of 3 years Specific skills required for the role · Good planning and organisation skills · Adapt at building and maintaining strong business relationships. · Self-motivator with good communication skills

Sales Manager, Award Winning Wine Importer, London - Up to £50k plus Travel I am excited to be partnered with a leading independent wine importer and distributor which has been a regular in the Harpers Best Drink Supplier for a number of years. This business with almost 10 years in the industry has a well-known and highly regarded portfolio of producers covering a number of exciting locations. Are you passionate about unique, artisanal wines and driven to grow business within premium bars and restaurants? They are seeking an experienced Sales Manager to join their boutique wine importing company. With a curated portfolio of rare, exceptional wines from around the world, they cater to discerning clients who appreciate craftsmanship and heritage. Company Benefits: • Competitive salary with performance-based bonuses and commission, • Travel included along with a wine budget., • Opportunity to work with a unique portfolio of globally sourced wines, • Collaborative, passionate, and supportive work environment Your role as the Sales Manager will include: • Drive business growth by increasing sales volumes and securing new business within the Prestige & Luxury on-trade sector (pubs, bars, restaurants)., • Build and maintain strong relationships with key accounts, ensuring long-term partnerships., • Develop and execute tailored sales strategies to meet customer needs and company objectives., • Collaborate with our team to understand and communicate the unique stories of our wine selections, • Regularly meet with customers to discuss product offerings, market trends, and growth opportunities., • Represent our brand at tastings, events, and industry gatherings Have you achieved any of the following: • A proven track record in sales within the wine, spirits, or premium beverage industry, • A strong network of contacts in high-end bars and restaurants, • Deep knowledge and passion for global wines, with an understanding of unique and artisanal wine categories, • The ability to sell wine and have a track record in negotiations and pricing., • Exceptional communication and relationship-building skills If you are interested in having a chat about this role, please forward updated CV’s to COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us on +44 207 790 2666 for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

Key Account Manager – Premium Spirits – London – Up to £55,000 plus benefits Are you an experienced luxury account manager looking to grow your career? My client is a well known and highly recommended spirits portfolio business that has operated nationally for a vast number of years. Their brands are the pinnacle of quality, have a diverse range of specialist spirits and a culture that is second to none! As a key account manager you will play a vital role in building and maintaining relationships with our high-end clients within the beverage industry. Your primary responsibility will be to drive sales, expand market share, and enhance the prestige of our brand portfolio in the market. The ideal candidate will have an existing network in the luxury spirits trade, along with a track record in managing specialist spirits in the On & Off trade. Key Account Manager Responsibilities: • Develop and maintain strong relationships with key accounts in the luxury beverage sector., • Implement effective sales and marketing strategies to promote our premium drink brands., • Collaborate with cross-functional teams, including marketing, distribution, and product development, to ensure customer satisfaction and product excellence., • Stay updated on industry trends, market developments, and competitor activities., • Prepare sales reports, forecasts, and budgets for management review., • Attend industry events, trade shows, and networking opportunities to expand your professional network. The Ideal Key Account Manager candidate: • Previous experience working in the prestige and luxury drinks space across London., • Be a self-starter who is driven to succeed – A strong understanding of the Hospitality sector is required!, • Proven track record in delivering growth across both On & Off trade specialist channels., • A customer-oriented approach to account management which aims to exceed expectations., • A strong and assertive style to self-management and motivation., • Able to negotiate, delivery training and competently explain a alcoholic product range, • Must be able to drive If you are interested in having a chat about this role, please forward updated CV’s to Mark at COREcruitment / COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. • Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

Head of Sales – Soft Drink Business – London – Up to £75,000 plus package This company is an exciting and well known soft drink business excelling in growth across the off-trade, with substantial listings across all major grocers and out of home channels. This business has excelled in growth over the last 10 years with a continued strategy for success. This is a unique opportunity to join this brand at a pivotal point in its growth journey. They are now seeking a commercially brilliant and entrepreneurial Head of Sales to lead the UK commercial strategy across Grocery and OOH, with a specific focus on leading a team and managing accounts such as Tesco and Asda. This role will require access to London and experience not only managing grocery accounts but also people leadership. An opportunity like this does not come around too often! Company Benefits • Be part of a fast-growing, purpose-led challenger brand shaking up the premium soft drinks space., • Enjoy autonomy, influence and ownership in a high-impact role, • Join a collaborative, ambitious and values-driven culture Head of Sales Key Responsibilities: • Define and deliver the commercial strategy across the UK OFF-trade and Out of Home categories., • Manage a team to deliver on KPI’s, objectives and growth strategies., • Build robust commercial plans to strengthen market share, revenue growth and brand awareness, • Work cross-functionally with Marketing, Operations and Finance to ensure alignment and commercial excellence, • Ensure excellence in customer engagement, contract negotiation, promotional execution and account planning, • Full responsibility for commercial forecasting, budgeting, pricing strategy and promotional ROI. Track and analyse performance to drive data-led decisions and optimise margin performance, • Provide regular reporting and commercial insight to the executive leadership team The Ideal Head of Sales candidate: • 5+ years’ experience in Commercial / Sales leadership or NAM roles within Drinks FMCG, • Strong understanding of soft drinks, juices, or premium beverage categories, • Proven track record of scaling SME / challenger brands in competitive markets, • Excellent leadership and team development capabilities, • Strategic thinker with a strong commercial instinct and hands-on execution ability, • Confident communicator and credible at senior level with customers and stakeholders, • Experience managing P&L, forecasting, trade terms, and complex negotiations If you are interested in having a chat about this role, please forward updated CV’s to Mark at COREcruitment / COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

Introduction: Founded in 1875, our long history has been built on innovation, craftsmanship and above all, incredible talent. Born from the adventurous spirit of our founder, Arthur Lasenby Liberty, we remain true to our heritage. From our fulfilment centres to our flagship store, passion, vision and dynamism are part of our DNA – and that extends to our team. We are looking for a Full-Time Sales Associates with luxury retail experience to join our fabulous Womenswear department. We have a unique mix of both UK home grown designers and everyone’s favourite designer classics. Candidates will be expected to demonstrate excellent product knowledge. You will deliver the most exceptional customer service and maximise sales at every opportunity. The ideal candidate will have a proven track record in achieving sales results and a background in luxury retail. What we would love to see from you: • Strong communication skills., • Fashion retail experience, • The ability to prioritise while handling multiple tasks., • A high level of customer service., • The ability to work with a diverse client base in a fast paced changing environment, • An ability to sell and reach sales targets., • Exceptional knowledge of niche and established Womenswear brands., • Relevant experience in department specific sales role. Please note this is a part-time opportunity.

Prestige Wine Sales Manager - Award Winning Wine Importer - London - Up to £65,000k plus commission and travel I am excited to be partnered with a leading independent wine importer and distributor which has been a regular in the Harpers Best Drink Supplier for a number of years. This business with almost 10 years in the industry has a well-known and highly regarded portfolio of producers covering a number of exciting locations. We are looking for a Prestige Wine Sales Manager who has extensive experience working with premium producers and suppliers across the On-Trade. With a predominant Italian portfolio, this role will focus on the high end, prestige and luxury market working with some exceptional wines. The Prestige Wine Sales Manager will be responsible for developing relationships with sommeliers, venue management and directors. Candidates from a wine sales background will be preferred with experience working across the London On-Trade! Company Benefits: • Competitive salary with performance-based bonuses and commission, • Travel included along with a wine budget., • Opportunity to work with a unique portfolio of globally sourced wines, • Collaborative, passionate, and supportive work environment Your role as the Sales Manager will include: • Drive business growth by increasing sales volumes and securing new business within the Prestige & Luxury on-trade sector, with a focus on top 50 bars and restaurants., • Build and maintain strong relationships with key accounts, ensuring long-term partnerships., • Establish long standing communications with key sommeliers across London., • Develop and execute tailored sales strategies to meet customer needs and company objectives., • Collaborate with our team to understand and communicate the unique stories of our wine selections, • Regularly meet with customers to discuss product offerings, market trends, and growth opportunities., • Represent our brand at tastings, events, and industry gatherings Have you achieved any of the following: • A proven track record in sales working in the Fine Wine sector, along with experience managing accounts and sommelier relationships., • A strong network of contacts in high-end bars and restaurants, • Deep knowledge and passion for global wines, with an understanding of unique and artisanal wine categories., • The ability to sell wine and have a track record in negotiations and pricing., • Exceptional communication and relationship-building skills, • WSET level 3 minimum If you are interested in having a chat about this role, please forward updated CV’s to COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us on +44 207 790 2666 for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

National Key Account Manager – Award Winning Spirits – London - Salary Negotiable plus car allowance and bonus My client is a well-known spirits business in the UK with a range of category defining brands. This business has a strong growth trajectory and hold some of the most popular brands in their portfolio. This global business is a staple across both on and off trade. As National Key Account Manager, you will take ownership of their national On Trade strategy, managing existing key partners while identifying and winning new business across medium to large-sized hospitality groups. You’ll be responsible for leading commercial negotiations, building strong joint business plans, and collaborating cross-functionally to deliver impactful brand activation and awareness. 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 𝐰𝐢𝐥𝐥 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 𝐭𝐡𝐞 𝐥𝐢𝐤𝐞𝐬 𝐨𝐟 𝐌𝐚𝐥𝐦𝐚𝐢𝐬𝐨𝐧, 𝐌𝐢𝐬𝐬𝐢𝐨𝐧 𝐌𝐚𝐫𝐬 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐚𝐬𝐬 𝐠𝐫𝐨𝐮𝐩 - 𝐚𝐥𝐨𝐧𝐠 𝐰𝐢𝐭𝐡 𝐨𝐭𝐡𝐞𝐫 𝐢𝐜𝐨𝐧𝐢𝐜 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐬. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐚 𝐟𝐚𝐧𝐭𝐚𝐬𝐭𝐢𝐜 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐟𝐨𝐫 𝐚𝐧 𝐚𝐦𝐛𝐢𝐭𝐢𝐨𝐮𝐬 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐮𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫! The company benefits: • Competitive bonus and salary potential, along with travel and car allowance, • Progression and development within this growing business, • Autonomy and the chance to shape future projects and strategies. The Commercial Manager responsibilities: • Support the National On Trade strategy and account management for key hospitality groups and managed operators., • Identify, target, and win new business opportunities within key national and regional groups., • Negotiate commercial agreements and develop long-term, value-driven partnerships., • Work closely with the marketing and brand teams to activate consumer-led brand experiences that drive awareness and sales., • Deliver annual sales and profitability targets through effective forecasting, planning and relationship management., • Collaborate with internal stakeholders including trade marketing, finance, and supply chain to ensure best-in-class execution. The ideal Commercial Manager Candidate: • Proven track record in On Trade sales or account management, ideally within spirits or similar categories., • Strong commercial acumen with experience managing and growing national or key account relationships., • Excellent negotiation and presentation skills with a strategic, results-driven mindset., • Collaborative, energetic and passionate about premium brands and the On Trade industry., • Confident working cross-functionally and influencing at senior stakeholder level. If you are interested in having a chat about this role, please forward updated CVs to Mark at COREcruitment / COREcruitment are experts in recruiting for Hospitality, Catering, Leisure, Retail, FM, Property and Construction sectors. We currently have over 1350 live roles across the UK, Middle East, Europe, Africa, North & Central America and South East Asia. To view other great opportunities please check out our website or call us for a confidential chat about upcoming opportunities. Likewise, if you are looking to recruit then we would love to hear from you. Follow COREcruitment on your favourite social networks - Facebook, Twitter, LinkedIn and Instagram

Are you ready to take your finance expertise to the next level? One of our favourite property clients, a leading flexible workspace platform, is on the hunt for a dynamic Finance Manager to join their team in the UK! This is your chance to be part of an innovative organisation with a fantastic finan

Ambitious individual needed to join this highly successful young talent agency working with a diverse range of high-profile talent including TV personalities, comedians, writers and online influencers with a social mission. I'm looking for a previous talent agency/PR background with experience of running brand partnerships. You will be flexible and adaptable, working as a junior agent but also assisting senior managers when necessary. This is a career opportunity working for one of my favourite clients who enjoy nurturing and growing their own team organically. For someone looking for a long-term commitment, hungry to learn and succeed there is every opportunity to progress within this talented team. The traits I'm looking for are: * Excellent communication skills * Ability to build strong relationships with colleagues and clients * A huge range of interests - from food, science, comedy, lifestyle and, of course, television * A flexible, can-do attitude, happy to work outside office hours when necessary The role includes: * Working with a strong team and assisting senior management * Booking travel and venues * Organising meetings * Thinking strategically about new opportunities for Talent * Spotting emerging talent * Updating records and any other ad hoc tasks Please only apply if you are passionate about talent and have the appropriate background/skills. Margaret Mills works only with Equal Opportunity employers and actively encourages diversity, welcoming applications from all candidates with relevant experience for the role advertised. I review all CVs and thank everyone for their response but I regret that, due to the high volume of response to my advertisements, I am unable to respond to those CVs I consider unsuitable or to offer individual feedback.

Save money on your food shop with discounts on Tesco, Sainsburys, Morrisons and many more Up to 44% off cinema tickets to enjoy your favourite blockbuster Receive cash rewards every time you spend and use them on a wide range of brands Un-wind with us with free wellness, mindfulness and exercise cla

We are seeking an experiencedStore Managerwith a passion for luxury to lead ourClarks Villagestore! Location:Clarks Village. Permanent) What we offer to our Store Managers: A 50% staff discount to use on all of your favourite Molton Brown products 25 days holiday + Bank Holidays A day off for your b

Job Description Acer Recruitment are helping one of our favourite clients find a Nursery Practitioner for their friendly setting in Bromley. Hourly rate is up to £14/hour and you will work either 36 or 40 hours per week Purpose of Job - The qualified Nursery Nurse will be expected to provide hig

Product Owner (Customer Data) owns Bloomreach as a product, turning the customer strategy into a delivery roadmap with measurable results. Act as Product Owner for customer data initiatives – accountable for planning, delivery and outcomes. Generous Staff Discount on all your favourite ELEMIS prod

As Europe’s largest airline group carrying over 600K guests on over 3,600 daily flights, flying on board Ryanair Group aircraft offers amazing perks, including discounted staff travel to over 250+ destinations across the Ryanair network, a fixed 5/3 roster pattern, free training & industry-leading

Come down to Nine Elms and visit one of London's best kept secrets.For regular updates on what's happening at your favourite wholesale market and the sensational seasonal produce you can buy here year-round, follow us on our social media channels.Full-Time role - 40 hours a week.Monday to Friday (wi

You’ll be joining a fun and inclusive team, where you can grow and strengthen your skills and experience. Our collection of community pubs are the heart and soul of the local area around them, helmed by a local hero and crewed by a team always ready with your favourite tipple. A positive can-do at

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work.

SDUKs brands include the Nations favourite cheese brand Cathedral City plus other well-known butter & spreads (Clover, Country Life, Vitalite, Utterly Butterly), functional ingredients and dairy free products.All candidates should make sure to read the following job description and information carefully before applying.This site at Hawes remains the bastion of a 1,000-year long cheese making heritage of making Yorkshire Wensleydale cheese, with this compliance coordinator role a key position in ensuring site food safety and quality management of a large-scale artisanal process.You will have responsibility for driving and improving standards, leading a team of four QC into a transitional phase as we lead the technical department from a reactive to a proactive team.This will be achieved through an initial documentation focus and use of the QMS to identify any gaps with procedures and SOPs through verification and validations (including CCPs), then implement improvements through training and supporting QC and operational/production personnel to manage the process and ensure quality of goods in and end product.The role is one where you will be able to challenge the status quo and improve site systems on an on-going basis through regular audits and reviews to drive operational excellence.This is a site going through change, with many future opportunities for us to drive improvements in multiple areas, taking the business forward in a new and exciting direction.YOULL MAKE CONTRIBUTIONS THAT MATTER BY Structuring, implementing, updating and maintaining the sites QMS (Q-Pulse), ensuring compliance with customer, legal, and regulatory requirements Acting as a subject matter expert for the QMS, and championing use across the site Coordinating and implementing the internal audit schedule, training new auditors, and reporting audit completion and attending quarterly performance review meetings Maintaining up-to-date accreditation and retailer standards through gap analysis and closure of actions Raising and coordinating customer complaint investigations in a timely manner Developing trends and KPI data, updating across the site in weekly reviews, monthly briefings, and completing group technical reports at required frequency Identifying and implementing areas for improvement and working with teams to develop sustainable actions Building and developing external relationships with suppliers and customers to ensure compliance and continuous improvement Ensuring audit readiness YOURE BEST SUITED FOR THE ROLE IF YOU ARE Able to demonstrate a strong understanding of QMS principles and ISO standards within a similar environment (FMCG/food/beverage production), with a strong awareness of retailer codes of practice and customer-specific quality expectations Able to demonstrate strong knowledge of food safety legislations, customer standards, and accreditation standards Strong with developing and interpreting KPI data, identifying trends and presenting findings effectively Capable of delivering training and development to QC and operations teams A clear and confident communicator, working across a range of internal teams and external stakeholders at all levels Familiar with Lean principles, risk assessments, and preventative quality expectations Skilled in planning, conducting, and reporting internal audits, with GAP analysis and corrective actions familiarity WE SUPPORT AND CARE FOR OUR EMPLOYEES BY PROVIDING YOU WITH Bonus scheme Autonomous and inclusive working environment Opportunities for progression within the UK and overseas Employer pension contributions Health cash plan- claim money back towards essential healthcare such as dental, eye care etc.Access to Thrive 24-hours a day- a leading and NHS clinically approved app which focuses on general wellbeing Life assurance Discounted branded products Free, onsite parking Subsidised staff restaurant My Staff Shop- access to exclusive benefits, free advice and savings -providing great discounts from thousands of the UKs largest retailers & service providers.We support employment equity.Saputo strives to embed diversity and inclusion in its operations and invites candidates from all horizons to join our team.To enable you to bring your best we will ensure you are provided with any physical or non-physical adjustments to support your participation in the job application and interview process.Agencies- Thank you for your interest in working with Saputo Dairy UK.We have a PSL who will be supporting us if needed. xjlbheb We do not pay fees or acknowledge any CVs supplied to Saputo Dairy UK unless you have been briefed on the role by a member of the Talent Acquisition Team.

Come down to Nine Elms and visit one of London's best kept secrets.This page can't load Google Maps correctly.For regular updates on what's happening at your favourite wholesale market and the sensational seasonal produce you can buy here year-round, follow us on our social media channels.Senior Eve

PureGym is the number 1 gym operator in the UK and growing at an unrivaled scale, providing more opportunities to join our fitness team as a Level 3 qualified Personal Trainer/Fitness Coach nationwide. Join the UK’s number one fitness brand and favourite gym. Personal trainer specific platform –

Our vision at Tesco is to become every customers favourite way to shop, whether they are at home or out on the move. Diversity, equity and inclusion (DEI) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work.

Team Manager - Woodford Green Superstore at Tesco. Tesco vision: to be every customer's favourite way to shop.

Generous Staff Discount on all your favourite ELEMIS products and spa treatments, as well as discounts on L'OCCITANE Group products (including L'Occitane, Erborian and more).

A leading airline in Europe is recruiting Cabin Crew based at London Stansted.

Are you ready to join Hotel Chocolat’s exciting and ongoing journey as the UK’s favourite premium chocolate brand?. To join us as a Sales Advisor in our brand new Ealing Broadway store, you don’t need retail experience to work here, just a commitment to being a true brand ambassador who is pas

Join the UK’s number one fitness brand and favourite gym as a Personal Trainer/ Fitness Coach. Personal Trainer/Fitness Coach - London Bromley. Access to the best fitness discounts exclusive to PG Personal Trainers.