Live in jobs in ChigwellCrear alertas

So, if you're as passionate as we are about fresh food and would enjoy helping to create a seriously relaxed country dining experience, with full table service, a classic British menu and daily specials, then you could be our next Sous Chef at Destination Inns, an important part of the McMullen Fami

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.

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date We are seeking a creative and committed Teacher of Geography to join our thriving Humanities team. This is an exciting opportunity for an enthusiastic practitioner-whether an Early Career Teacher or an experienced educator-who is eager to inspire students and develop a love of Geography. Geography is a popular and well-regarded subject, with strong uptake at Key Stage 4 and a curriculum that encourages curiosity, critical thinking and a deep understanding of the world around us. You will teach across Key Stages 3, 4 and Key Stage 5, within a supportive department that values collaboration, high expectations and innovative teaching. What we're looking for: • A qualified Geography teacher with strong subject knowledge, • An engaging classroom practitioner with high expectations of all learners, • A team player who is keen to contribute to curriculum development and enrichment Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. This is a full time, permanent position. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Geography Teacher, Location: Romford, ENG - RM1 4ED

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date We are seeking an enthusiastic and inspiring Humanities Teacher to join our team. This is an exciting opportunity for a passionate educator who can deliver engaging lessons across History, Geography, and Religious Education at Key Stage 3. About the Role: • Teach a broad range of humanities subjects (History, Geography, and RE) to KS3 students., • Inspire curiosity and critical thinking, helping students to understand the world around them and their place within it., • Work collaboratively with colleagues in a supportive and forward-thinking department., • Have a strong background in one or more humanities disciplines., • Able to deliver engaging and well-structured lessons across all three subjects at KS3. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Humanities & Arts Teacher, Location: Ilford, ENG - IG2 6PF

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.

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Fixed term (December 2026) Start date: As soon as possible We are seeking an enthusiastic Teacher of Business to join our forward-thinking team. This is an exciting opportunity for an ambitious teacher to deliver engaging Business lessons across KS4 and KS5, while also contributing to our KS3 Innovation & Technology curriculum. About the Role • Teach Business Studies at GCSE and A Level, inspiring students to think critically and creatively about the world of enterprise, finance, and marketing., • Deliver engaging and practical Innovation & Technology lessons at KS3, helping younger learners develop problem-solving, design, and entrepreneurial thinking skills., • Work collaboratively within a supportive department that values creativity, teamwork, and professional growth., • A qualified teacher (QTS) or working towards with a strong subject knowledge in Business Studies., • Able to deliver high-quality lessons that motivate and challenge students. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Business Teacher, Location: Romford, ENG - RM1 4ED

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date Lift Bexleyheath is seeking a talented and enthusiastic Media Teacher to join our forward-thinking team. In this exciting role, you'll teach Media Studies across Key Stages 4 and 5, while also contributing to the wider delivery of combined Computer Science, Business and Media to Key Stage 3. We're looking for someone who can bring creativity, curiosity, and real-world relevance into the classroom, helping our students explore how media, technology, and enterprise shape the world around them. Whether you're an experienced teacher or early in your career, you'll find a welcoming, collaborative environment where your ideas are valued and professional growth is encouraged. We're looking for someone who: • Is a qualified media teacher with QTS or working towards, • Can teach engaging, inclusive lessons across KS4 and KS5., • Enjoys making links between Media, Computer Science, and Business. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interview date: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. , Location: Ilford, ENG - IG2 6PF

Social Services Occupational Therapist within Moving & Handling - Barking, UK - up to £34 per hour. Ongoing contract, full-time. Are you a talented Occupational Therapist looking for your next exciting role? We are looking for a skilled professional to join a dynamic social services team in Barking where you will have the chance to make a real difference in the lives of service users. With a specialty in Moving & Handling, this full-time, ongoing contract role offers an excellent opportunity to apply your expertise while earning up to £34 per hour. Perks and benefits: • Competitive hourly rate up to £34 plus the chance to enhance your career in a supportive environment., • Flexible working patterns to suit your lifestyle, giving you the freedom to enjoy a better work-life balance., • Ongoing professional development opportunities to keep your skills fresh and industry-relevant., • Access to a dedicated support team that assists with placements and provides help throughout your locum journey. What you will do: 1. Carry out the Occupational Therapy process in partnership with service users and carers, facilitating choice, empowerment, and promoting independence., 2. Conduct assessments of need and evaluations of risk in partnership with service users and carers., 3. Implement risk assessments related to moving and handling tasks, ensuring service user safety and dignity., 4. Collaborate with a multidisciplinary team to deliver tailored therapy plans., 5. Document and maintain thorough records of each service user’s progress and therapy outcomes. Requirements of the Occupational Therapist: • You must have a degree or equivalent in Occupational Therapy., • You should have recent UK experience working as an Occupational Therapist., • Experience with the NHS is essential., • Registered with the HCPC is required to practice as an Occupational Therapist in the UK. Barking is not just a vibrant place to work, it's a community pulsating with life. Rich with cultural diversity, local amenities, and excellent transport links, you're perfectly poised to enjoy both work and leisure. Join us and discover why it's renowned for being such a great place to live and grow your career. Dive into this opportunity and let your skills shine! Working with Sanctuary Personnel: Sanctuary Personnel is a trusted and award-winning agency for roles. With an ‘Excellent’ rating on Trustpilot from over 1,000 reviews and many prestigious industry awards, we are dedicated to finding you the best possible rates in roles that match your skills and experience.

Due to the nature of the role and personal care requirements, this position is open to female applicants only in line with the Equality Act 2010 (Genuine Occupational Requirement). We’re recruiting a female live-in carer for a stable, ongoing private placement. This role suits someone calm, professional, and confident working one-to-one in a private household. The placement is long term, with clear routines and continuity. Requirements: • Female carer, • Proven UK live-in care experience, • Fluent spoken English, • Confident with personal care, • Polite, well-presented, and discreet, • Comfortable working in a traditional private home, • Eligible to work in the UK, • UK valid licence and vehicle access is preferred. This is a well-structured package for someone looking for consistency rather than short rotations. Apply via LinkedIn or message directly to discuss next steps.

We’re after someone practical, organised, and comfortable working on their own, especially with BBQ and smoker cooking.

A genuinely exciting Service Engineer opportunity has arisen with this leading provider or door entry, access control and warden call systems.They are looking for an experienced Door Entry/Access Control Engineer to cover the Kent area.Candidates will live in Ilford, Enfield, Brentwood area and cove

We are only able to accept applicants who have the right to work in the uk and live within a commutable distance to the location of the job role.At Maria Mallaband Care Group, it's our people who make us great, and we pride ourselves on how well we work together as a team.Working with us will result

Introduction At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips. Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve. If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher. Overview Do you enjoy helping others and providing brilliant service to every customer you speak to? Are you looking for a job which provides full training, and support to gain industry qualifications and potential career progression opportunities all over the world? If so, we’d love you to apply for one of our exciting Sales and Renewals opportunities in our Insurance team. How you'll make an impact • These are full-time, permanent roles, • We are based in Romford with easy access from bus links, we are located a 5-minute walk from the train station., • 37.5 hours per week. Our hours are Monday to Friday, between 8:30am - 7:00pm, • Saturday shift once every 3 weeks, 9am - 5pm, • Additional average earning from £3,000 - £8,000 per year, • Previous call centre experience is not necessary but desirable. We provide full training which covers everything from our product range to our phone system, • Experience in a previous customer-facing role is preferable, such as within retail, hospitality, care, education, or sales On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: • Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days, • Defined contribution pension scheme, which Gallagher will also contribute to, • Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x, • Income protection, we’ll cover up to 50% of your annual income, with options to top up, • Three fully paid volunteering days per year, • Employee Stock Purchase plan, offering company shares at a discount, • Share incentive plan, HMRC approved, tax effective, stock purchase plan, • Critical illness cover, • Discounted gym membership, with over 3,000 gyms nationally, • Season ticket loan, • Access to a discounted voucher portal to save money on your weekly shop or next big purchase, • Emergency back-up family care Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with ___ . If you’d prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

All aspects of food stock control including ordering, deliveries, stock taking and control of wastage. We’re independent, so believe in investing in the future and we love home-grown talent. Supporting the Head Chef in the smooth running of the kitchen and deputising in their absence.

A family-run dining business in Ivy Chimneys is seeking a passionate Sous Chef. You will deliver an exceptional dining experience, oversee food stock control, and support the Head Chef. This role offers fantastic training through the company's development program, aimed at helping you grow your care

We’re recruiting a female live-in carer for a stable, ongoing private placement. Due to the nature of the role and personal care requirements, this position is open to female applicants only in line with the Equality Act 2010 (Genuine Occupational Requirement). Proven UK live-in care experience.

Requirements: Female carer Proven UK live-in care experience Fluent spoken English Confident with personal care Polite, well-presented, and discreet Comfortable working in a traditional private home Eligible to work in the UK UK valid licence and vehicle access is preferred. Due to the natur

Secure your career as a Sales Engineer with a long-established industry leader supplying lifting and rigging equipment to some of the biggest productions in film, TV, concerts, festivals and live events. Due to continued growth, they now require a Sales Engineer to support demand and help drive furt

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.