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

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

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

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

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

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

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

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

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

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

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

Plumber, Domestic Repairs RG postcodes 43 to 45k in regular hours. Higher achievers up to 55K Van, training, OT, extensive benefits package. Medium sized repairs and maintenance specialist looking for plumbers to join their rapidly growing team. All work being completed in private domestic properties with the successful plumber working mainly in the postcodes above, depending on where you live. The... ZIPC1_UKTJ

Job Title Dispensing Optician – Eye Academy, Windsor Location Windsor, Berkshire Eye Academy Total Reward Package £30,000 – £37,000 per annum (depending on experience) Bonus Scheme Professional Fees Paid CPD Support Minimum 20 Days Holiday + Bank Holidays Company Pension Scheme (optional) Working Hours Full-time – 40 hours per week Join Us in Windsor – A Beautiful Place to Work Our practice is based in the historic and vibrant town of Windsor, home to Windsor Castle, a thriving town centre, and beautiful riverside views. With excellent transport links to London and surrounding areas, Windsor offers the perfect balance of heritage charm and modern convenience—making it a fantastic location to live and work. About the Role We are offering a unique and rare opportunity for a qualified Dispensing Optician to join our team at The Eye Academy, our luxury, patient-focused practice located in central Windsor. This is more than just a dispensing role—it's your chance to be part of a progressive, independent optical group known for combining clinical excellence with world-class customer service. About You We are looking for someone who: Is a fully qualified Dispensing Optician Has a genuine interest in luxury eyewear and bespoke frame styling Delivers exceptional patient care and customer service Is confident, professional, and highly organised Thrives in a fast-paced, high-end retail environment Enjoys being part of a close-knit, supportive team About Eye Academy Eye Academy is an established, independent group of practices known for its expert clinical care and high-end eyewear collections. Our Eyecare Academy practice in Windsor offers a unique experience, combining: Comprehensive personalised eye care The latest diagnostic technology including: Nikon dispensing system, spectralis 4D, and Optos An exclusive range of designer and luxury eyewear including: Lindberg Precious, Lindberg Horn, Chanel, Cartier, Tom Ford A focus on continued professional development and team growth We are proud to support our dispensing opticians with: Ongoing CPD and training opportunities A collaborative, team-oriented environment A reputation for clinical excellence and style innovation How to Apply: If you're ready to take the next step in your optical career and want to work in a practice that values clinical skill, style, and service, we’d love to hear from you. Apply today and become part of the Eye Academy team in Windsor. Closing Date: Applications reviewed on a rolling basis – early applications encouraged. Company Website:

Head of Food North West London (4 days onsite, 1 day WFH) £60,000 – £70,000 DOE + bonus The business They are a fast scaling food brand incubator building restaurant quality, delivery first food brands across the UK. Operating through a growing network of partner kitchens on platforms such as Deliveroo, Uber Eats and Just Eat, everything is designed for scale with smart menus, tight systems and food that travels well. All food innovation happens under one roof with a development kitchen, testing kitchen, central production and HQ, allowing ideas to move quickly from concept to launch. As the business continues to grow, they are now looking for a Head of Food to bring ownership, structure and pace to the food pipeline. This is not a purely creative chef role, but a commercial food innovation leadership position within a data led, high growth business. Why join? • Real ownership – this role shapes the food strategy, • Speed and impact – ideas turn into live menus fast, • Founder exposure – direct influence on the business, • Innovation with discipline – creativity backed by data, • Growth journey – help build the next generation of virtual food brands The role This is a senior, hands on position with real influence. You will own the full food journey from early ideas through to scalable, production ready menus rolled out across multiple kitchens. You will work closely with operations, production, data and onboarding to make sure every dish is: • Commercially viable, • Easy to execute, • Consistent at scale, • Built for delivery You will owe decisions, processes and standards. What you will be responsible for • Building and evolving multiple delivery first food brands, • Leading menu innovation and seasonal refreshes, • Owning the development and testing kitchens, • Turning chef-led ideas into scalable, CPU-friendly products, • Ensuring strong margins, consistency and operational fit, • Working closely with production to ensure smooth execution, • Using data to guide decisions: what to build, fix, improve or stop, • Creating clear specs, recipes, costings and documentation, • Bringing structure, clarity and pace to food development What they are looking for • 3+ years in food development, NPD, culinary innovation or food operations, • Strong experience with delivery, QSR or scalable food formats, • Solid understanding of commercial kitchens and food production, • A balance of creativity and discipline, • Commercial mindset – you care about margins, waste and performance, • Comfortable working closely with founders, • Organised, decisive and clear in your communication, • Happy working at pace with multiple projects live at once Working pattern • 4 days per week onsite (kitchens are key), • 1 day per week working from home

Technical Data Centre Shift Manager – Data Centre Operations – High Voltage Experienced Package @74,000K plus Overtime • Location: Slough, • Continental Shift Pattern, • 12 Hour Shift s Days and Nights, • Site – AI READY Data Centre, • Opportunity – Progressive contract and promotion and career development, • Salary £65,000 Plus Shift Allowance @5K, • Bonus @ £4K per year, • Overtime, • Health Care, • Pension, • Parking on Site and Free EV charging Do you thrive under pressure, keeping systems running where downtime isn’t an option? Join our Data Centre Solutions team as a Shift Manager — a key leadership role within one of the world’s most advanced and fast-paced technical environments. As a Shift Manager, you’ll be the on-site technical lead, driving operational excellence across critical electrical and mechanical systems. You’ll guide a skilled team of engineers, ensuring safe, compliant, and efficient maintenance across a high-availability facility that powers global operations. This is a hands-on leadership role — ideal for candidates with a strong high-voltage (HV) background, experience in live switching, and deep understanding of critical facility operations. You’ll be trusted to: • Lead and coordinate shift teams delivering both planned and reactive maintenance., • Act as an Authorised Person (HV), ensuring safety documentation and switching schedules are completed to the highest standard., • Oversee all works under the Permit to Work system, ensuring safety, quality, and compliance., • Respond swiftly to Building Management System (BMS) alarms and manage incidents in real time., • Maintain mechanical and electrical systems (including cooling, power, and water) to industry standards such as L8., • Supervise vendors and subcontractors to ensure high performance and adherence to operational processes., • Drive technical training, mentoring, and team development., • Lead from the front — ensuring the safety, reliability, and resilience of critical infrastructure always. About You You’re a technically strong professional who’s calm under pressure, confident in your decision-making, and driven by the challenge of managing complex systems in 24/7 environments. You’ll bring: • HV Authorisation and demonstrable experience in HV/LV switching operations., • A Level 3 NVQ (or equivalent) in a relevant electrical or mechanical discipline., • Strong working knowledge of critical environments such as data centres, hospitals, or financial facilities., • Proven ability to lead shift teams and manage incident response in real time., • Up-to-date knowledge of Wiring Regulations, health and safety compliance, and permit-to-work systems., • Exceptional communication skills and the ability to build strong working relationships with clients, contractors, and colleagues., • PASMA / IPAF certification, • Emergency First Aid at Work, • Work with cutting-edge critical systems in a highly secure, high-availability environment., • Lead a team of talented engineers who value collaboration, ownership, and excellence., • Access structured career development, technical training, and leadership pathways., • Be part of a global organisation where your work keeps mission-critical operations running smoothly, • Ready to lead from the front in one of the industry’s most technically advanced environments?, • Apply now to take your career forward with a world leader in data centre operations.

Job Title: Certifying Powerplant Engineer Location: Slough Employment Type: Permanent For Permanent Roles: • Salary: DOE, • Benefits:, • 4 day week (Bi-weekly shift), • Annual leave, • Company pension, • Death in Service benefit About the Role On behalf of our client, a UK Independent organisation in the aviation industry, we are currently recruiting for a Certifying Powerplant Engineer to sign off routine maintenance, inspections and service bulletins on CFM56 and LEAP Series Aircraft Engines. This is a fantastic opportunity to join a dynamic environment with a strong focus on safety, compliance, and technical excellence while encouraging great company culture. Key Responsibilities • Performing supplementary shop and housekeeping duties as required, • Ensure compliance with Health and Safety procedures as required, • Follow technical drawings/procedures as needed, • Keeping relevant records updated. Candidate Requirements Essential: • A recognised apprenticeship within the aircraft industry, • Previous experience gained working in an engine shop or aircraft MRO, • Ability to act as certifying staff for engine maintenance and release to service, • Experience performing maintenance on the following engine types would be advantageous: CFM, LEAP, V2500, • Competency to follow appropriate Aircraft Maintenance Manual, Engine Shop Manual procedures, • Demonstrate required knowledge of Quality Procedures, as well as EASA/FAA Part 145 requirements and procedures, • A sound computer literacy with a basic understanding of the Microsoft Office applications, • Availability to work flexibly, i.e. weekends and holidays if required, • Right to live and work in the UK Desirable: • Availability to work flexibly, i.e. weekends and holidays if required, • B1.1/C License holder Why Work with JMC Aviation? At JMC Aviation, we specialise in aviation recruitment across engineering services and training to airlines, MROs and OEMs, leasing and asset management companies, and component overhaul organisations. With deep industry knowledge and a global network, we match the right talent to the right roles — contract or permanent. • Industry-leading compliance support, • Fast onboarding and documentation assistance, • Dedicated recruitment consultant, • Placements across the globe, • Extensive experience and knowledge of the aviation sector How to Apply Submit your up-to-date CV, along with copies of right to work documents to Compliance & Equal Opportunities JMC Aviation is committed to equal opportunity and diversity in the workplace. All applicants will be considered based on merit, qualification, and business need, regardless of age, gender, nationality, or background. We operate in full compliance with global aviation recruitment regulations. GDPR In applying for the above position and sharing your personal data with JMC Aviation Limited, you acknowledge that your personal data will be processed in accordance with our Privacy Policy (found on our website).

Radio Engineer (Permeant) Location: Heathrow (Longford) Salary: £35,000–£40,000 (flexible for the right experience) Working pattern: Onsite, Monday–Friday, 7:00am–3:00pm We’re recruiting for an experienced Radio Service Engineer to support critical radio communications across Heathrow Airport, with occasional work at other London transport locations. This is a hands-on, onsite contract role, suited to someone who lives locally and is comfortable working in secure, operational environments. The role also carries responsibility for leading a small team of three engineers on day-to-day activities. What’s in it for you? • Work with industry leading technology (Motorola, Hytera, Icom, Tait and more), • Go through security clearance, • Progression and development opportunities from day one, • Work with a varied tech stack (DMR, PMR, DAS, Tetra, PTTC) Role overview: The role is primarily based at Heathrow, with limited travel to other London sites such as Gatwick, London Bridge Station, West Ham Stadium, and sections of the Elizabeth Line. Travel outside Heathrow is typically no more than one or two days at a time. Day-to-day responsibilities include: • Repairing and maintaining two-way radio equipment, • Installing and maintaining radios in vehicles, • Supporting desktop radio systems with ground-to-air capability, • Installing and maintaining indoor DAS systems, • Supporting radio infrastructure, primarily Simoco and Hytera, with some Motorola What We’re Looking For: • Proven experience working with UHF/VHF radio systems, • Two-way radio / DMR engineering experience, • SC clearable, including a minimum of 5 years working in the UK with a clean, consistent employment history, • Able to commute reliably to Heathrow (Longford), • Full UK driving licence, • Comfortable taking responsibility for day-to-day task coordination within a small engineering team Apply Now!

Job Title: CAD Technician Salary: £30 – £35 per hour (dependent on experience) Location: Slough Type: Contract | Outside IR35 | Full-time | On-site / hybrid (depending on project needs) About the Role: Our client is seeking an experienced CAD Technician to support ongoing engineering projects based in Slough. This is a hands-on contract role suited to someone confident producing and managing CAD drawings within a professional consultancy environment. You’ll be working alongside established technical teams, contributing to live projects from day one. About the Client: Our client is a well-established UK engineering consultancy known for delivering high-quality technical solutions across complex infrastructure projects. They pride themselves on strong technical standards, collaboration, and consistency. Key Responsibilities: ·Produce and modify CAD drawings for live engineering projects ·Ensure all drawings comply with internal CAD standards ·Support electronic project administration and document control ·Issue drawings and technical documentation via ProjectWise ·Collaborate with engineers and technical teams to meet project deadlines What Our Client Is Looking For: ·Strong CAD experience using AutoCAD and/or MicroStation ·High attention to detail and accuracy ·Confident IT skills with the ability to adapt to new systems quickly ·Ability to work independently and as part of a wider technical team ·Clear communication skills ·Experience with AutoCAD Civil 3D is advantageous What Our Client Offers: ·£30–£35 per hour, outside IR35 ·Long-term contract stability ·Exposure to technically interesting, real-world projects ·Professional, structured working environment ·Opportunity to work with experienced engineering professionals Eligibility: ·Right to work in the UK ·Ability to work on a contract basis outside IR35 Opportunity for Growth: This role offers strong long-term contract potential and exposure to high-quality engineering projects, making it ideal for a CAD professional looking to strengthen their consultancy experience and technical portfolio.

Trainee Cyber Security Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Cyber Security role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and incident response, while building practical experience with Live Labs. The programme includes earning CompTIA certifications (A+, Network+, Security+) recognised by UK employers, expert tutor support throughout your studies, dedicated job placement support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure cyber security roles within 3 months. Starting salaries: 28,000 38,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Cyber Security? Limited spaces available. Apply now for the next available cohort.

They are looking for someone with previous experience both virtual and in-person conferences and events. Manage the end-to-end operational delivery of virtual events, including registration setup, logistics coordination, and live execution. Liaise with internal partners to gather event specification

You class 2 Driver duties as part of a 2-man team driving a 7. T size vehicle (but paid at class 2 driver rate) and are as follows:. To be considered for this Class 2 Driver installer role you must already live in the UK (please do not apply if you are outside the UK as you will not be considered).

About Us Nobody’s Child is for the free thinkers, the dreamers, and the go-getters. Born in 2015, we’ve spent the last decade creating clothes that feel as good as they look for people that embrace individuality, live with purpose, and want to leave the world a little better than they found it. It’s been 10 years of creativity, growth, and bold ideas, and the values that guide us haven’t changed. About You We’re looking for an experienced Store Supervisor to join our Windsor Store in a flexible full-time capacity. As a key team member and brand ambassador, you’ll bring exceptional customer service, live our values every day, and inspire others to do the same. You’ll help lead a passionate in-store team, drive performance, and deliver a memorable shopping experience rooted in kindness, confidence, and conscious fashion. Your Day-to-Day Will Include Sales & Customer Experience • Deliver a warm, personalised shopping experience where every customer feels welcomed, valued, and inspired — because being kind is how we connect., • Lead by example to drive sales, maximise customer interactions, and encourage upselling and cross-selling in a way that feels authentic., • Share product knowledge and sustainability stories with confidence — showing optimism for a better future in fashion., • Handle customer queries and complaints with empathy, professionalism, and a positive, solution-focused approach. Team Leadership & Development • Support the Store Manager and Assistant Manager in achieving sales targets and store KPIs., • Help train, onboard, and develop new team members, embedding our values into everything they do., • Motivate and inspire colleagues to be confident, creative, and customer-focused — empowering them to be brave and take initiative., • Act as Duty Manager when senior management is absent, ensuring smooth operations and clear communication with the Area Manager. Store Operations & Visual Merchandising • Maintain exceptional visual and operational standards, ensuring the store is clean, beautifully presented, and on-brand., • Oversee stock replenishment, deliveries, and inventory management with agility and attention to detail., • Support till operations, including handling refunds and end-of-day closing procedures., • Keep fitting rooms and till areas tidy, organised, and customer-ready at all times., • Actively contribute to our company’s commitment to environmental and social responsibility by integrating sustainable practices into everyday work. This includes minimising waste, promoting responsible sourcing, supporting our circular economy initiatives, and encouraging customers and colleagues to make choices that align with our sustainability values. Every team member at NC plays a role in helping us reduce our environmental impact and create a positive legacy for our communities and the planet. What You’ll Bring • Previous leadership experience in a fast-paced retail environment., • A passion for sustainable fashion and Nobody’s Child’s mission., • Strong communication, organisation, and people management skills., • A positive, proactive attitude and the ability to be kind, brave, agile, and optimistic in everything you do. If this sounds like your next opportunity, please apply and we will be in touch! At Nobody’s Child, we are committed to creating an inclusive, diverse and equitable workplace. We aim to ensure that we are always recruiting, retaining and promoting a diverse mix of talent and encourage all to apply to join our journey!

HYBRID role in Staines-upon-Thames, UK ADP are a global NASDAQ listed organization, providing cloud-based Human Capital Management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights, and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. AWARDS AND RECOGNITION • Named a "Leader" in payroll business process outsourcing (BPO)services by Gartner., • Nelson Hall, a global BPO analyst firm, has named ADP as a "Leader" in Payroll Services, • ADP is named on the Black Enterprise 50 Best Companies for Diversity list., • Top-ranked company in Financial Data Services in FORTUNE® magazine's The World's Most Admired Companies®, • Top 25 for Comparably's Happiest and Most Fulfilled Employees, • 100 Best Companies for Working Mothers, • Top Company for Women Technologists Thinking about how to really boost your sales career? Are you driven, hungry for success? Are you motivated to make money and learn how a variety of corporate clients operate? Then this role will give you that edge to boost your sales career… This is a great opportunity for a talented and ambitious individual looking to break into software sales, or to start developing towards Enterprise Sales or leadership. What's great about this job? We're creating the next generation of ADP and we need your help to do it. In Sales, we're all about growing the UK business and we know the future of ADP depends on hiring people who can make a difference here. Everyday, you will be connecting with prospects and selling ADP's products and services to business with up to 300 employees. You will sell to one to two decision makers and will be expected to demo our software and manage the entire sales cycle through first contact to the final close. Leads will be passed from marketing but the expectation will be that, by a combination of networking, cross-selling, upselling and cold-calling you will generate further new business leads yourself. This is a sophisticated consultative sale which requires an ability to listen to the client and match their needs to our products and services. The successful candidate will be upbeat, positive and friendly and most importantly at ease talking on the phone to senior decision-makers, qualifying opportunities and closing business. Whether you fancy a career change or have just graduated and want to experience the world of sales then this role could be for you... The day-to-day: • Being proactive with new prospects, • Using various methods(social selling & CRM data) to source new opportunities, • Identifying people who have HR/Payroll pain points or gaps; and engaging them to a live project, • Staying up-to-date with market trends ,and educating prospects on insight, potential threats or opportunities to better their businesses with improved HR / Payroll processes, • Working to KPIs and targets for activity &meetings booked, • Working with your Leader& colleagues to define campaigns to strategically direct your outreach activity, • Demonstrating ADP Solutions, • Managing the full end-to-end sales cycle with prospects, • Cleansing & managing your own data set to ensure accurate strategies Are you right for the role? • Based in the UK, within daily commutable distance to our Staines office, • Ideally some previous experience within a complex sales environment, • Track record of carrying and achieving a sales quota for at least 12 months, • A great attitude with a willingness to learn, • Competitive nature - a need to be the best!, • Flexible attitude, • Enthusiastic and ambitious -- has a clear desire to progress within a large organisation, • Articulate with good business acumen and commercial awareness, • Experience of using a CRM System (ideally Salesforce) – preferred but not essential What's in it for you? • Competitive base salary and bonuses., • Annual sales incentives such as Presidents Club trips, • Flexible benefits scheme, private medical insurance, laptop, phone, subsidized gym memberships, pension scheme, • Individual coaching and mentoring to help you progress your sales career from day one, • Clear progression routes within a team that has a consistent track record of furthering sales careers More About ADP!

Inside Sales Specialist Upper Market - HYBRID - Staines-upon-Thames, UK ADP are a global NASDAQ listed organization, providing cloud-based Human Capital Management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights, and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. AWARDS AND RECOGNITION • Named a "Leader" in payroll business process outsourcing (BPO)services by Gartner., • Nelson Hall, a global BPO analyst firm, has named ADP as a "Leader" in Payroll Services, • ADP is named on the Black Enterprise 50 Best Companies for Diversity list., • Top-ranked company in Financial Data Services in FORTUNE® magazine's The World's Most Admired Companies®, • Top 25 for Comparably's Happiest and Most Fulfilled Employees, • 100 Best Companies for Working Mothers, • Top Company for Women Technologists Thinking about how to really boost your sales career? Are you driven, hungry for success? Are you motivated to make money and learn how a variety of corporate clients operate? Then this role will give you that edge to boost your sales career… This is a great opportunity for a talented and ambitious individual looking to break into software sales, or to start developing towards Enterprise Sales or leadership. What's great about this job? We're creating the next generation of ADP and we need your help to do it. In Sales, we're all about growing the UK business and we know the future of ADP depends on hiring people who can make a difference here. Everyday, you will be connecting with prospects and selling ADP's products and services to business with up to 300 employees. You will sell to one to two decision makers and will be expected to demo our software and manage the entire sales cycle through first contact to the final close. Leads will be passed from marketing but the expectation will be that, by a combination of networking, cross-selling, upselling and cold-calling you will generate further new business leads yourself. This is a sophisticated consultative sale which requires an ability to listen to the client and match their needs to our products and services. The successful candidate will be upbeat, positive and friendly and most importantly at ease talking on the phone to senior decision-makers, qualifying opportunities and closing business. Whether you fancy a career change or have just graduated and want to experience the world of sales then this role could be for you... The day-to-day: • Being proactive with new prospects, • Using various methods(social selling & CRM data) to source new opportunities, • Identifying people who have HR/Payroll pain points or gaps; and engaging them to a live project, • Staying up-to-date with market trends ,and educating prospects on insight, potential threats or opportunities to better their businesses with improved HR / Payroll processes, • Working to KPIs and targets for activity &meetings booked, • Working with your Leader& colleagues to define campaigns to strategically direct your outreach activity, • Demonstrating ADP Solutions, • Managing the full end-to-end sales cycle with prospects, • Cleansing & managing your own data set to ensure accurate strategies Are you right for the role? • Based in the UK, within daily commutable distance to our Staines office, • Ideally some previous experience within a complex sales environment, • Track record of carrying and achieving a sales quota for at least 12 months, • A great attitude with a willingness to learn, • Competitive nature - a need to be the best!, • Flexible attitude, • Enthusiastic and ambitious -- has a clear desire to progress within a large organisation, • Articulate with good business acumen and commercial awareness, • Experience of using a CRM System (ideally Salesforce) – preferred but not essential What's in it for you? • Competitive base salary and bonuses., • Annual sales incentives such as Presidents Club trips, • Flexible benefits scheme, private medical insurance, laptop, phone, subsidized gym memberships, pension scheme, • Individual coaching and mentoring to help you progress your sales career from day one, • Clear progression routes within a team that has a consistent track record of furthering sales careers More About ADP!

CSA Supervisor – Data Centre Location: Slough, Berkshire UK Sector: Data Centre Construction Contract: 6+ Months Contract Immediate Start We are currently seeking an experienced CSA Supervisor to join a major data centre project based in Slough. This is an excellent opportunity to work on a high-profile, technically complex facility within a fast-growing sector. Key Responsibilities • Supervise and coordinate all CSA works on site, ensuring delivery in line with programme, quality, and safety requirements, • Manage white wall systems, architectural finishes, and associated data centre fit-out works, • Enforce health & safety standards at all times, • Carry out site inspections, quality checks, and snag management Requirements • Proven experience as a CSA Supervisor on data centre projects, • Strong background in white wall installation and architectural finishes within mission-critical environments, • Good understanding of CSA sequencing in live or phased data centre builds, • Strong knowledge of UK construction standards and H&S regulations, • Right to work within the UK and available to start ASAP To apply, please submit your CV or contact us for further details.

We are on our way to creating the leading end to end movement solution in the UK for our customers (such as Hertz and The AA), delivered by our network of 600+ drivers and transport agents across the UK. Since going live in 2018 we have acquired over 80 clients, many of which can claim to be amongst

Help Others, Achieve Your Financial Goals £100k+!.Are you a passionate person driven to make a real difference in people's lives? Join a company that's revolutionising the way people sleep, relax, and live! We specialise in exceptional adjustable beds and rise & recliner chairs, meticulously de

Mechanical Inspector (Lifting Equipment). Due to continued growth they are looking to expand their mechanical team with a new inspector. On offer is a Mechanical Inspector role where you will be responsible for carrying out mechanical inspections on structures and equipment in entertainment and live

Your role is to aid and assist clients in all phases of consignment preparation, handle and monitor client activities ensuring compliance with all agreed company policies, handle and monitor live network activities ensuring adherence to agreed rate structures and pricing policies and work collaborat

Bespoke training and development through our. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. Package and hourly rate includes basic + TRONC*.

We are recruiting on behalf of our client, a third year Fine art university student, who is studying in Farnham.

Here’s 5 reasons you’ll love to volunteer in our shops: • It's fun, • It's flexible, • You'll learn and share skills, • You'll be making a difference Please note that this is a voluntary, unpaid role, based in the UK. We are unfortunately not able to provide support with visa requests. Candidates must be over 18. Volunteering in the shop Our gorgeous shop in historic Windsor has been at the heart of the community since the early 1990’s (it’s truly vintage!) and has in recent years been transformed into a bespoke Mary’s Living & Giving store. Our Windsor Shop Volunteers are in the middle of it all, and there’s plenty to get involved with. You might be sorting and pricing stock, engaging with customers, ringing items through the till, creating fantastic window displays or keeping our shop floor looking organised. It’s up to you how much you commit. We have volunteers who support for a couple of hours a week and some do more. Many people volunteer either a morning or an afternoon each week - this is something that will be discussed at the selection stage, after you’ve applied. Why volunteer with Save the Children? In over 110 countries, we support children to transform their lives. By providing live-saving short-term help, and pushing for deep-rooted social change, we help children take, their future into their own hands. We believe every child has the right to learn. Every child should have good food to fuel their bodies and every child should have medicine when they're sick. Skills and experiences we seek We welcome applications from people with a wide range of skills and experiences. You don’t need any retail or shop experience as full training will be provided. What’s important to us is that you are a team player, open to learning and to follow our policies as well as be an excellent representative for Save the Children. We know that our shop teams are stronger when they are inclusive and representative of their communities. Everybody can make a real difference. People come to us for all sorts of reasons, from all backgrounds, and we will do what we can to find a role that works for you. What happens next? After you’ve filled in an application, we will invite you for an informal trial shift. It’s a great opportunity to visit the shop, meet some of our existing volunteers and have a go at some of the tasks that you would be supporting with as a shop volunteer. Hopefully allowing you to get a feel for the role and make sure it’s for you. We also ask for a couple of references (these don’t have to be formal workplace ones, just someone who has known you for over 6 months and isn’t related). How to apply Express your interest on email via the apply button. Please note that this is a voluntary, unpaid role, based in the UK. We are unfortunately not able to provide support with visa requests. Candidates must be over 18.

Radio Engineer (Permeant) Location: Heathrow (Longford) Salary: £35,000–£40,000 (flexible for the right experience) Working pattern: Onsite, Monday–Friday, 7:00am–3:00pm We’re recruiting for an experienced Radio Service Engineer to support critical radio communications across Heathrow Airport, with occasional work at other London transport locations. This is a hands-on, onsite contract role, suited to someone who lives locally and is comfortable working in secure, operational environments. The role also carries responsibility for leading a small team of three engineers on day-to-day activities. What’s in it for you? • Work with industry leading technology (Motorola, Hytera, Icom, Tait and more), • Go through security clearance, • Progression and development opportunities from day one, • Work with a varied tech stack (DMR, PMR, DAS, Tetra, PTTC) Role overview: The role is primarily based at Heathrow, with limited travel to other London sites such as Gatwick, London Bridge Station, West Ham Stadium, and sections of the Elizabeth Line. Travel outside Heathrow is typically no more than one or two days at a time. Day-to-day responsibilities include: • Repairing and maintaining two-way radio equipment, • Installing and maintaining radios in vehicles, • Supporting desktop radio systems with ground-to-air capability, • Installing and maintaining indoor DAS systems, • Supporting radio infrastructure, primarily Simoco and Hytera, with some Motorola What We’re Looking For: • Proven experience working with UHF/VHF radio systems, • Two-way radio / DMR engineering experience, • SC clearable, including a minimum of 5 years working in the UK with a clean, consistent employment history, • Able to commute reliably to Heathrow (Longford), • Full UK driving licence, • Comfortable taking responsibility for day-to-day task coordination within a small engineering team Apply Now!

Our Automotive Client has a need for a MOT Technician who is motivated and able to work to their own initiative. At Perfect Placement we specialise in Jobs within the Automotive Field, we can help you with your Career search for Motor Trade Jobs as we have over 1,400 live Automotive Vacancies across

With 1450 acres of land, we consider the outside areas of Eton College to be equally as important as the classrooms, particularly with all the Sports and Co-curricular activities available to the students.We have an exciting opportunity for an enthusiastic, versatile, flexible and experienced Garden

Plumber, Domestic Repairs Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first. RG postcodes 43 to 45k in regular hours. Higher achievers up to 55K Van, training, OT, extensive benefits package. Medium sized repairs and maintenance specialist looking for plumbers to join their rapidly growing team. xrnqpay All work being completed in private domestic properties with the successful plumber working mainly in the postcodes above, depending on where you live. The...

Operations Manager (Authorised Person Ventilation & Medical Gas) Sector: Healthcare / Estates & Facilities Overview: We are seeking an experienced Operations Managerlevel professional to provide hands-on leadership and technical oversight on a live acute hospital contract in West London. Key

Job Description Plumber, Domestic Repairs RG postcodes 43 to 45k in regular hours. All work being completed in private domestic properties with the successful plumber working mainly in the postcodes above, depending on where you live.

A leading pub operator in the UK is looking for a skilled manager for The Alexandra in Clapham. Candidates should have previous experience in a similar role and a passion for the pub industry.

Mech-Elec Talent are pleased to offer an excellent opportunity for Electrician'sin Isleworth Area starting ASAP Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. You must be competent in all Electrical install works (such as Basket and Ladder, Mostly metal munching). 8.5 hrs Paid, Work until April/May. To be considered for the position ofElectrician you will need to meet the xrnqpay following criteria: Have a valid JIB Card Live within a commutable distance o...

A leading global sports company based in Uxbridge is seeking an experienced Live Operations Supervisor to ensure seamless service during live events. This position requires working unsociable hours and maintaining a high level of service throughout events.

Are you an organised individual interested in supporting quality home care? Caremark Windsor provides home care in Windsor and surrounding area, helping people live independently at home.We seek a proactive, organised, and compassionate Care Administrator to join our well established, award-winning

A leading global sports marketing agency in Uxbridge seeks a Broadcast Supervisor to oversee live operations and ensure high-quality service during events. Responsibilities include managing technical facilities, liaising with clients, and leading ops teams during live broadcasts.

It is looking for a brilliant operator to lead and deliver all PR and Communications activity for the Group, protecting and enhancing its corporate reputation while proactively supporting commercial objectives across arenas, exhibitions and conventions. My client is the country's biggest name in the

Join our team, with an adventurous spirit, to help our guests discover and experience the real Scotland through hostelling with us whilst you can also enjoy hillwalking, climbing and many other outdoor activities and explore amazing surroundings in your spare time. You will be responsible and delive

Were 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.

As a Hostel Assistant, you will be undertaking a range of hostel duties including full reception service, check-in/out, handling customer enquiries, cleaning & housekeeping and basic catering duties. Are you naturally a great communicator who loves to work as part of a team and help contribute to pr

We have an amazing opportunity for you to become a Personal Assistant to a young, university student based in Bath, studying. Join her team of PAs to provide her personal care and independent living. Live in Lifestyle Assistant for a Biomedical Sciences Uni Student.