Environment jobs in BrentwoodCrear alertas

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

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

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

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

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

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

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

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

Senior Administrator - Romford We are seeking an experienced Senior Administrator to register, who can provide high‑level administrative support across the business. This is a key role for someone who is highly organised, proactive, and confident, managing a wide range of responsibilities in a fast‑paced environment. Key Responsibilities: • Oversee day‑to‑day administrative operations, ensuring smooth and efficient office processes., • Act as the first point of contact for internal and external enquiries., • Prepare reports, documentation, correspondence, and presentations., • Manage diaries, organise meetings, and coordinate travel arrangements., • Maintain accurate records, databases, and filing systems., • Support senior management with project work, minute‑taking, and general administrative tasks., • Monitor office supplies and manage relationships with suppliers., • Assist with onboarding, training coordination, and internal communications.About You:, • Proven experience in a Senior Administrator, Office Manager, or similar administrative role., • Strong organisational and time‑management skills with the ability to prioritise competing workloads., • Excellent written and verbal communication skills., • High level of attention to detail and accuracy., • Confident using Microsoft Office and business systems, • Professional, reliable, and able to work independently as well as part of a team.What We Offer:, • A supportive and collaborative working environment., • Opportunities for professional development and career progression., • Competitive salary and benefits package., • The chance to play a key role in shaping smooth business operations. # 4762168

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.

Security Alarm Service Engineer £45-48K + company van 26 Days Holiday Covering London and the surrounding areas 25 days holiday plus bank holidays Private medical scheme Are you a Security Service Engineer looking to take the next step in your career with one of the leading companies in the built environment? My client is looking for an experienced and competent Security Systems Service Enginee... ZIPC1_UKTJ

As a Gardener at a Barchester care home, you'll help create the kind of stimulating environment that enables us to deliver quality, person-centred care. Your role as a Gardener will involve looking after our equipment and structures like fencing, keeping our grounds safe and tidy (including clearing

It's a chance to bring your dedication and compassion to a fulfilling environment. To join us as a Care Assistant you'll need to have some experience of caring for older people, a can-do approach and excellent communication skills. Access to wellbeing and support tools.

Trade Sales Manager (Automotive / Parts) £36,000 - £40,000 DOE + Incentives + Progression + Company Events + Employee Owned Trust + Profit Share Scheme + Free Parking + Health & Wellbeing Programme Brentwood Are you a sales professional, with experience leading high-performing teams in a fast-paced, trade-focused environment, looking for an exciting new opportunity to take ownership of a growing sa... ZIPC1_UKTJ

As an Activities Coordinator at a Barchester care home, you'll help to create a stimulating environment that enables us to deliver exceptional all-round care and support for our residents. An extremely rewarding role, part of your time as an Activities Coordinator will be spent getting to know our r

Our Early Years Leader oversees the delivery of the Early Years programme on camp, fostering an exciting, enjoyable and nurturing environment. It is the duty of the Early Years Leader to coordinate, direct and support the rest of the Early Years team to ensure high quality childcare is delivered at

Assistant Manager - Billericay Lounges are pretty special places, and what makes them so special are the brilliant people who run them. As Assistant Manager, you'll be supporting the General Manager to maintain that brilliance across the team,delivering 14 great shifts to make sure that every customer leaves happy. You'll support the day-to-day running of the Lounge from rotas and team engagement to customer feedback. Your standards will be as high as ours, but exactly how you do it will be unique to you. You'll be doing it your way. Brilliant! It's all about the detail. You'll be involved with driving sales, team retention, training, customer service and maintaining high standards. You never settle for second best and you make it your mission for your Lounge to be the place to go for the local community. It's not a job for the faint hearted, but you know you've got this. The Good Stuff • Overtime pay for every hour worked over contracted hours!, • Staff food on every shift, • 50% off food and drinks (including alcohol) from day one at all three of our brands - Lounge, Cosy Club and Brightside, • Paid breaks, • 28 days holiday (inclusive of Bank Holidays) pro rata, • Enhanced maternity and paternity pay after 2 years service, • The most talked-about staff party in hospitality - Loungefest!, • Competitions and incentives (like jetting off on an all expenses paid trip with one of our suppliers), • Company pension scheme, • Long service awards, • Power over your pay with Wagestream, • Emotional and practical support via the Licenced Trade Charity, • Great opportunity for personal development and career progression in a fast growing business, • Achievable bonuses, • Tips shared equally across the team, based on hours worked, • You are probably an existing Assistant Manager, Deputy Manager or Supervisor with a background in restaurants, bars, caf or coffee shops., • You will have experience of working in a bar environment with serving freshly made food and drinks preparation., • A natural talent and passion for hospitality and an amazing people manager with a flair for talent spotting., • Extremely driven and relentless at overcoming challenges or obstacles., • Good literacy skills alongside excellent attention to detail to support reporting on KPIs., • Good communication skills with the ability to build rapport and trust., • Self-motivator working at pace with limited supervision whilst adhering to pressure and timescales.

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

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date Lift Bexleyheath is seeking a talented and enthusiastic Media Teacher to join our forward-thinking team. In this exciting role, you'll teach Media Studies across Key Stages 4 and 5, while also contributing to the wider delivery of combined Computer Science, Business and Media to Key Stage 3. We're looking for someone who can bring creativity, curiosity, and real-world relevance into the classroom, helping our students explore how media, technology, and enterprise shape the world around them. Whether you're an experienced teacher or early in your career, you'll find a welcoming, collaborative environment where your ideas are valued and professional growth is encouraged. We're looking for someone who: • Is a qualified media teacher with QTS or working towards, • Can teach engaging, inclusive lessons across KS4 and KS5., • Enjoys making links between Media, Computer Science, and Business. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interview date: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. , Location: Romford, ENG - RM1 4ED

Love being on the move and interacting with people from all walks of life? Proud to deliver quality goods on time and put a smile on thousands of faces every week? Join Ocado Logistics where there are bags of possibilities. It’s our mission to provide an outstanding customer experience. Whilst others might call you delivery drivers, here at Ocado Logistics our Customer Service Team Members play a vital role, delivering top quality products on time and in an efficient manner. You’ll be out on the road whatever the weather, but you’ll never have to fight over the radio station, and you can sing along as loud as you like! In return, we use our automated technology to pre plan your route and pre-load your van! This is a fantastic opportunity to join our team and perfect for those looking for a part-time schedule. You will work 3 x 8-hour shifts each week with shifts scheduled on different days each week. On top of your base pay you will receive premiums that will increase your average hourly earnings to £13.72 per hour. All your breaks are paid, meaning for every minute at work you get paid. That’s a great deal! Whilst a safe working environment goes without saying, we offer a shopping list of perks that you can tailor to suit your lifestyle, including: • Company pension of up to 7% matched contributions after just 3 months, • An enhanced digital health and wellbeing service, including virtual GP appointments, for you and your dependents, • Hundreds of high street shopping, entertainment and restaurant discounts, • Life insurance coverage from day one of employment, • 15% off your weekly shop with Ocado.com You don’t need any previous experience to join our good-natured team, just bring yourself and a positive attitude, and our amazing training team will do the rest! But you will need the following Driving Licence Requirements: • Full UK or EU driving licence., • Minimum of 6 months driving experience, • Maximum of 6 penalty points. As this is a customer facing role, good communication skills are also essential. How to apply: • Fill in an online application - there is no CV needed!, • Our friendly recruitment team will get in touch to conduct an Online Licence Check and Right to Work Checks., • You will be invited to take a tour of the site, giving you the opportunity to meet the team for a question-and-answer session, • We will run a Disclosure Barring System check (DBS). Contract Hours: 24 hours per week (including paid breaks) Contracted days: You will be required to work any 3 days out of 7 doing 8 hour shifts, and will be provided with further information during pre-boarding. Shifts: AM & PM. You may start as early as 05:30 in the morning, and can finish as late as 12:00 (midnight). Please check your commute time prior to applying. You will receive your shift rota up to 13 weeks in advance. Pay Structure: The position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. We are proud to be a Disability Confident employer, prioritising inclusivity and equal opportunities for all individuals, ensuring a supportive and accessible workplace for people with disabilities. So, whatever your background or story, you’ll find a home at Ocado Logistics.

Love being on the move and interacting with people from all walks of life? Proud to deliver quality goods on time and put a smile on thousands of faces every week? Join Ocado Logistics where there are bags of possibilities. It’s our mission to provide an outstanding customer experience. Whilst others might call you delivery drivers, here at Ocado Logistics our Customer Service Team Members play a vital role, delivering top quality products on time and in an efficient manner. You’ll be out on the road whatever the weather, but you’ll never have to fight over the radio station, and you can sing along as loud as you like! In return, we use our automated technology to pre plan your route and pre-load your van! Everyone likes their groceries at different times, so our working patterns will involve evenings and weekends in addition to weekdays - so on top of your base pay you will receive premiums that will increase your average hourly earnings to £13.75 per hour. You can also stack your earnings further with enhanced overtime to fund those special occasions! All your breaks are paid, meaning for every minute at work you get paid. That’s a great deal! (Everyone’s shifts will vary but more information is included at the bottom of this advert to help you understand what that might look like.) Whilst a safe working environment goes without saying, we offer a shopping list of perks that you can tailor to suit your lifestyle, including: • Company pension of up to 7% matched contributions after just 3 months, • An enhanced digital health and wellbeing service, including virtual GP appointments, for you and your dependents, • Hundreds of high street shopping, entertainment and restaurant discounts, • Life insurance coverage from day one of employment, • 15% off your weekly shop with Ocado.com, • Loads more voluntary benefits such as dental and travel insurance at a discounted price You don’t need any previous experience to join our good-natured team, just bring yourself and a positive attitude, and our amazing training team will do the rest! But you will need the following Driving Licence Requirements: • Full UK or EU driving licence., • Minimum of 6 months driving experience (12 months experience is desirable)., • Maximum of 6 penalty points. As this is a customer facing role, good communication skills are also essential. How to apply: • Fill in an online application - there is no CV needed!, • Our friendly recruitment team will get in touch to conduct an Online Licence Check and Right to Work Checks., • You will be invited to take a tour of the site, giving you the opportunity to meet the team for a question-and-answer session, • We will run a Disclosure Barring System check (DBS). Contract Hours: 40 hours (including paid breaks) Contracted days: You will be required to work any 5 days out of 7 working 8 hour shifts, and will be provided with further information during pre-boarding. Shifts: AM & PM. You may start as early as 05:30 in the morning, and can finish as late as 12:00 (midnight). Please check your commute time prior to applying. You will receive your shift rota up to 13 weeks in advance. Pay Structure: The position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly Pay Rate: Monday to Saturday (Basic Rate): £13.26 Evening Premium (from 6pm): £1.12 Sunday Day Premium: £1.33 Sunday Evening Premium: £2.56 Overtime rate Monday to Saturday (Day Shift): £16.58 Overtime rate Monday to Saturday (Evening Shift): £17.98 We are proud to be a Disability Confident employer, prioritising inclusivity and equal opportunities for all individuals, ensuring a supportive and accessible workplace for people with disabilities. So, whatever your background or story, you’ll find a home at Ocado Logistics.

Our Early Years Leader oversees the delivery of the Early Years programme on camp, fostering an exciting, enjoyable and nurturing environment. It is the duty of the Early Years Leader to coordinate, direct and support the rest of the Early Years team to ensure high quality childcare is delivered at

Our client is a well-established, multi-disciplinary engineering and project consultancy operating across the built environment in England.The organisation delivers technically robust mechanical design and advisory services across a varied portfolio of complex projects, primarily within regulated an

Senior JavaScript Developer / front End Engineer (Vue 3) Billericay / WFH to £75k Are you a JavaScript web technologist seeking an opportunity to work with a modern tech stack on Greenfield projects? You could be progressing your career in a senior, hands-on role at an eCommerce payments solutions provider that has experienced great success in the last year and is growing as a result. What's in it for you: As a Senior JavaScript Developer you will earn a competitive package: • Salary (to £75k), • Bonus, • 25 days holiday, • Pension, • Life assurance, • Private medical care, • Pizza days and other social events, • Hybrid working with flexible hours Your role: As a Senior JavaScript Developer you will take ownership of projects within an Agile development environment, with a focus on Vue 3 front end development to help evolve and scale the existing platforms as well as working on new Greenfield projects; you'll be able to take project ownership and manage all aspects of the frontend stack to produce white labelled Progressive Web Applications and Websites of the highest quality for a broad range of big name retail clients. You'll collaborate with UI/UX Designers to ensure technical feasibility, optimise applications for speed and scalability and build reusable code and libraries as well as pro-actively analysing and making suggestions for improvements and as a senior team member, provide mentoring and support to more junior team members. Location / WFH: You'll join the team two days a week in Billericay (free onsite parking), with flexibility to work from home the other three, there are also flexible working hours. About you: • You have strong JavaScript and Vue.js experience, including Vue 3, • You have strong technical project and people leadership skills, • You're also experienced with other web technologies such as HTML5, CSS, SASS; build technologies such as Webpack, Gulp and CLIs; REST APIs, GraphQL (you don't need them all as you'll be picking new things up on the job), • You have a good understanding of browser rendering behaviour and performance, • You have a good appreciation of UI/UX design, • You have experience of working on high performance / high traffic websites, eCommerce experience would be great, • You're collaborative with good communication skills Apply now to find out more about this Senior JavaScript Developer / Engineer (JavaScript Vue 3) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Job Title: Hardware Engineer Length of Contract: 6 months, with potential extension Location: Brentwood Days in the Office: 4 days a week Key Skills: • Strong understanding of schematics and PCB layout designs, • RF knowledge (Wi-Fi, Bluetooth, including testing), • Familiarity with communication interfaces (DDR, SPI, I²C), • Proficient in using test and measurement equipment (oscilloscopes, logic analysers, multimeters), • Experience with engineering software (Altium, LTSpice, terminal programs), • Ability to work independently and take initiative, • Strong collaboration and communication skills, • Hands-on experience with hardware test and verification, • Python or other scripting experience for automation, • RF knowledge (Wi-Fi, Bluetooth), • Prior experience in consumer electronics or TV product development Experience: • Previous hardware engineering experience in a product development environment, • Familiarity with cross-functional collaboration (software engineering, project management), • Comfortable supporting test activities both on-site and off-site AI Integration: • Exposure to or interest in AI-driven test automation and data analysis would be advantageous

Third Party Intervention Manager.Hybrid working – typically 1 day per week in the office once probation is passed).Working in a growing, busy office environment, you will be leading and developing a team of Third Party claims handlers.Managing the performance of this team to ensure productivity, q

As a Registered Nurse at a Barchester care home, you'll look after the physical, psychological and social needs of our residents to help us deliver the quality care they deserve.We'll look to you to create a safe and supportive environment for residents with range of physical and mental needs, whils

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

Key Responsibilities * Carry out planned and reactive electrical maintenance within a critical environment * Monitor and maintain electrical infrastructure to ensure uptime and compliance * Fault finding and first-line response to electrical issues and emergencies * Complete all works in

What we're looking for: An organised, motivated, and enthusiastic administrator who thrives in a busy, energetic office environment. Compliance Administrator - Education Recruitment Location: Romford Hours: Monday to Friday, 7. Salary: £25,400 - £27,000 Are you looking for an Adm

Year 1 Teacher – Havering – Primary – Full-time – ASAP Start * Year 1 Teacher required in Havering * Full-time role starting ASAP * Qualified Teacher Status (QTS) required * Supportive and inclusive mainstream primary school Are you an enthusiastic Year 1 Teacher looking for your next role? Do you enjoy supporting pupils as they transition from EYFS into Key Stage 1? Are you confident delivering engaging lessons that support both academic and personal development? If so, this could be an excellent opportunity for you! Year 1 Teacher – The Role As a Year 1 Teacher, you will plan and deliver structured and engaging lessons in line with the national curriculum. You will support pupils through the transition into Key Stage 1, assess progress, and work closely with support staff and senior leaders to ensure positive outcomes for all learners. Year 1 Teacher – The School This Havering primary school is a well-established 3-form entry school with a strong community ethos. The school offers supportive leadership, collaborative planning opportunities, and a positive working environment focused on high-quality teaching and learning. Apply now to be considered for this Year 1 Teacher role in Havering...

Are you a qualified Paraplanner looking to join a highly reputable Independent Financial Adviser practice? This is an excellent opportunity to become part of a supportive, client-focused team offering genuine career progression, flexible working, and a positive, stable working environment. Have prov

Virgin Active are committed to supporting our members live an active life. We understand fitness may not be a priority when members have childcare needs. Which is why we offer Club V, which provides members the best childcare facilities. To do this we hire highly qualified and experienced Childcare Supervisors to oversee our childcare facility within our clubs. \n The Childcare Supervisor will be responsible for managing a team of childcare providers, ensuring the safety and well-being of the children in our care, and maintaining a positive and nurturing environment within all our clubs. \n Being a Virgin Active Childcare Supervisor \n\n • Overseeing the daily operations of the childcare facility, ensuring that all staff members are performing their duties effectively and efficiently\n, • Managing a team, including hiring, training, and scheduling rotas\n, • Monitoring and maintaining a clean and organized facility, including classroom materials and equipment.\n, • Ensuring that the childcare facility is in compliance with all licensing and regulatory requirements.\n, • You have excellent attention to detail – nothing gets by without you noticing!\n, • 30 days (including bank holidays) annual leave – and we want you take them\n, • Access to The Peoples Pension, with our contributions at 3%\n, • Complimentary Virgin Active membership for you and a buddy. You can also get free membership for your children too, ability to take advantage of our Club V\n, • We want you to love Virgin Active like we do, so you get discounts across Virgin active – everything from guest passes and PT sessions to discounts on health and beauty treatment and products\n, • We have more discounts to offer across the Virgin Group, from Virgin Media to Virgin Atlantic - who doesn’t love a discount!\n, • Financial fitness is just as important as physical, so we offer access to Salary Finance. They can support you with loans and savings plans, as well as help you become a personal finance expert\n, • Mental health is a cornerstone of wellbeing. Our BUPA employer assistance programme is there when you need a helping hand with 4 free counselling sessions\n, • We know finding a new home to rent can be stressful. We partner with Dexters who offer complimentary corporate letting services – meaning no tenant charges\n, • Access to ePoints, offering loads of online discounts to retailers such as Amazon, ASOS and Adidas\n, • Always wanted to take that Nutrition course? Well VA offer discount on all their Academy courses, trained by the very best\n\n \n

Activity Instructor - Easter Holiday Camp - Brentwood School - Brentwood, Essex \n\n Making school holidays extraordinary \n \nThe Details \n\n\n\t • Title: Activity Instructor\n\t, • Reporting to: Camp Manager\n\t, • Contract: Seasonal work in school holidays.\n\t, • Prepare and deliver activities for children aged 6-14, focusing on participation, development and enjoyment, working both alone and alongside other staff.\n\t, • Take a pastoral role as a group leader, welcoming new children into your group and liaising with the Camp Manager and/or parents as necessary.\n\t, • Supervise and engage with the children outside of activity times. Continuously promote the welfare of the children in your care.\n\t, • Show high levels of energy, enthusiasm and professionalism, acting as a suitable role model for the children.\n\t, • Ensure all policies and procedures on camp are adhered to by yourself and the children in your care, including all health and safety, and safeguarding procedures.\n\t, • Live up to the Ultimate Activity Camp promise of ‘Inspiring Children Every Day’ and behave in a manner that reflects the expectations of the company throughout your employment.\n\t, • Experience of working with children and delivering activities.\n\t, • Able to tailor delivery and structure of a session according to age and ability.\n\t, • Be enthusiastic, energetic and passionate about developing children through play and activity.\n\t, • Good organisation and communication skills. Candidates must be confident in their ability to lead a group of children and not shy away from responsibility.\n\t, • A flexible team player, able to adapt to dynamic situations and challenges on camp.\n\t, • Qualified in or working towards a relevant sport, art, performing arts, teaching or childcare qualification.\n\t, • Experience taking sole charge of a group of children.\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Competitive pay and opportunities for progression\n\t, • Subsidised First Aid qualifications and CPD opportunities.\n\t, • Each day is filled with rewarding work in an enthusiastic environment.\n\t

Ultimate Survival Camp Leader - Brentwood School - Brentwood, Essex \n\n The Details \n\n\n\t • Title: Ultimate Survival Camp Leader\n\t, • Reporting to: Ultimate Survival Programme Manager\n\t, • Contract: Seasonal work available during Summer holidays. \n\t, • Hours: 8am – 6pm weekdays. \n\t, • Prepare and deliver activities for children aged 7-14, focusing on participation, skill development and enjoyment.\n\t, • Directly manage a team of Instructors, ensuring they deliver the quality of care and the standard of activities expected at Ultimate Activity Camps.\n\t, • Inspire your staff to deliver quality activities through leading by example with energy and enthusiasm.\n\t, • Ensure all policies and procedures on camp are adhered to by everyone on camp, including all Health & Safety, Behaviour and Safeguarding procedures to ensure camp runs smoothly and remains a safe environment for staff and children.\n\t, • Liaise with Head Office with updates, queries, and any issues that arise throughout the day. \n\t, • Act as the point of contact for parents on camp, in person and on the phone, including feeding back any issues that arise throughout the day. \n\t, • Act as the point of contact with the Host School, meeting with their representatives to ensure the smooth running of camp.\n\t, • Manage all administrative duties on camp, including sign-in and sign-out procedures, registration, medical forms, staff deployment and supervision and timetable amendments\n\t, • As well as our Ultimate Survival programme, the Ultimate Activity Company encompasses several other multi-activity and specialist programmes (UAC, UTech, Performance, USA, UEnglish). As a Survival Leader you must liaise with the staff teams of these other programmes to ensure the smooth running of the entire site.\n\t, • Manage any other challenges that come with running an outdoor holiday camp.\n\t, • Continuously promote the welfare of the children in your care and ensure the provision of childcare is always of a high quality, meeting the needs of children from differing backgrounds and stages of development.\n\t, • Show high levels of energy, enthusiasm, and professionalism, acting as a suitable role model for the children and staff on camp.\n\t, • Extensive experience in a childcare and/or education setting.\n\t, • A natural leader with management experience, ideally within the outdoor education, holiday camp, or childcare sectors.\n\t, • Excellent communicator, with strong face-to-face customer service skills. Candidates must be confident in their ability to talk to parents and host school staff. \n\t, • Good working knowledge of bushcraft activities.\n\t, • Good decision maker, able to quickly assess and make informed judgements, reacting to varied situations that arise on Camp.\n\t, • Be able to attend all required Training sessions prior to starting your role.\n\t, • Previous experience within outdoor education, with a specific focus on bushcraft.\n\t, • Hold a Paediatric First Aid Qualification (12 hour)\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Subsidised CPD opportunities, ranging from First Aid Courses through to Food Safety Qualifications\n

Early Years Leader - Summer Holiday Camp - Brentwood School - Brentwood, Essex \n\n Making school holidays extraordinary \n \nThe Details \n\n\n\t • Title: Early Years Leader\n\t, • Reporting to: Camp Manager\n\t, • Contract: Seasonal work in school holidays.\n\t, • Oversee the delivery of a fun and engaging programme for the Ultimate Juniors on camp, ensuring all EYFS requirements are met.\n\t, • Prepare and deliver quality sports, arts & crafts and games for the four- and five-year olds, focusing on participation, development, and enjoyment.\n\t, • Direct and support a small team of Early Years staff.\n\t, • As the registered person, ensure Ofsted requirements are always met, liaising directly with an inspector in the event of an inspection.\n\t, • Be the main point of contact for the parents and guardians of the Juniors. This includes feeding back any observations or issues to parents.\n\t, • Manage some administrative duties for the Juniors (e.g., sign-in/out, registration etc).\n\t, • Liaise with the Camp Manager and work as a team to continuously promote the welfare of the children in your care.\n\t, • Supervise and engage with the children outside of activity times.\n\t, • Ensure the provision of childcare is always of a high quality to meet the needs of individual children from differing backgrounds and stages of development.\n\t, • Live up to the Ultimate Activity Camp promise of ‘Inspiring Children Every Day’ and behave in a manner that reflects the expectations of the company throughout your employment.\n\t, • Show high levels of energy, enthusiasm and professionalism, acting as a suitable role model for the children.\n\t, • Ensure all policies and procedures on camp are adhered to by yourself and the children in your care, including all health and safety, and safeguarding procedures.\n\t, • Educated to a minimum of Level 3 in Early Years/Childcare or Primary Education, with significant experience working with 4- and 5-year-olds.\n\t, • Experience of working with children and delivering activities and able to tailor the delivery and structure of a session according to age and ability.\n\t, • Be enthusiastic, energetic and passionate about working developing children through play and activity.\n\t, • Good organisation and communication skills. Candidates must be confident in their ability to lead a group of children and not shy away from responsibility.\n\t, • Good working knowledge of the Early Years Foundation Stage and how to apply it to a camp setting.\n\t, • Excellent communicator, with great face-to-face customer service skills. Candidates must be confident in their ability to interact with parents.\n\t, • A pro-active and conscientious team player, able to adapt to dynamic situations and challenges on camp.\n\t, • Some management or supervisory experience.\n\t, • Experience taking sole charge of a group of children.\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Competitive pay and opportunities for progression\n\t, • Subsidised First Aid qualifications and CPD opportunities.\n\t, • Each day is filled with rewarding work in an enthusiastic environment.\n\t

Activity Instructor - February Holiday Camp - Brentwood School - Brentwood, Essex \n\n Making school holidays extraordinary \n \nThe Details \n\n\n\t • Title: Activity Instructor\n\t, • Reporting to: Camp Manager\n\t, • Contract: Seasonal work in school holidays.\n\t, • Prepare and deliver activities for children aged 6-14, focusing on participation, development and enjoyment, working both alone and alongside other staff.\n\t, • Take a pastoral role as a group leader, welcoming new children into your group and liaising with the Camp Manager and/or parents as necessary.\n\t, • Supervise and engage with the children outside of activity times. Continuously promote the welfare of the children in your care.\n\t, • Show high levels of energy, enthusiasm and professionalism, acting as a suitable role model for the children.\n\t, • Ensure all policies and procedures on camp are adhered to by yourself and the children in your care, including all health and safety, and safeguarding procedures.\n\t, • Live up to the Ultimate Activity Camp promise of ‘Inspiring Children Every Day’ and behave in a manner that reflects the expectations of the company throughout your employment.\n\t, • Experience of working with children and delivering activities.\n\t, • Able to tailor delivery and structure of a session according to age and ability.\n\t, • Be enthusiastic, energetic and passionate about developing children through play and activity.\n\t, • Good organisation and communication skills. Candidates must be confident in their ability to lead a group of children and not shy away from responsibility.\n\t, • A flexible team player, able to adapt to dynamic situations and challenges on camp.\n\t, • Qualified in or working towards a relevant sport, art, performing arts, teaching or childcare qualification.\n\t, • Experience taking sole charge of a group of children.\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Competitive pay and opportunities for progression\n\t, • Subsidised First Aid qualifications and CPD opportunities.\n\t, • Each day is filled with rewarding work in an enthusiastic environment.\n\t

Camp Manager - October Holiday Camp - Brentwood School - Brentwood, Essex \n\n Making school holidays extraordinary \n \nThe Details \n\n\n\t • Title: Camp Manager\n\t, • Reporting to: Head of Operations\n\t, • Contract: Seasonal work in school holidays.\n\t, • Directly manage a team of staff selected for you to ensure they deliver both the quality of care and the standard of activities expected at Ultimate Activity Camps.\n\t, • Inspire your staff to deliver quality activities by leading by example with energy and enthusiasm.\n\t, • Ensure all policies and procedures on camp are adhered to by yourself, your staff and the children in your care, including all health and safety, and safeguarding procedures. This may include implementing new procedures to ensure camp runs smoothly and remains a safe environment for staff and children.\n\t, • Lead Camp Induction Day for your staff prior to camp opening.\n\t, • Work with the Early Years Leader to ensure Ofsted requirements are always met on camp, liaising directly with an inspector in the event of an inspection.\n\t, • Liaise with Head Office with updates, queries any issues that arise throughout the day.\n\t, • Act as the point of contact for parents on camp, in person and on the phone, including feeding back any issues that arise throughout the day.\n\t, • Act as the point of contact with the Host School, meeting with their representatives to ensure the smooth running of camp.\n\t, • Manage all administrative duties on camp, including sign-in and sign-out procedures, registration, staff rotas and changes to the timetable.\n\t, • As well as our multi-activity programme, Ultimate Activity Camps encompasses several other specialist programmes. As a Camp Manager you must liaise with the staff teams of these specialist programmes to ensure the smooth running of your site.\n\t, • Manage any other challenges that come with running a dynamic holiday camp environment.\n\t, • Continuously promote the welfare of the children in your care and ensure the provision of childcare is always of a high quality to meet the needs of individual children from differing backgrounds and stages of development.\n\t, • Live up to the Ultimate Activity Camp promise of ‘Inspiring Children Every Day’ and behave in a manner that reflects the expectations of the company throughout your employment.\n\t, • Qualified or working towards a qualification in childcare, teaching or coaching, with significant experience of working with children.\n\t, • A natural leader with management experience, ideally within the holiday camp, childcare, teaching or coaching sectors.\n\t, • Excellent communicator, with strong face-to-face customer service skills. Candidates must be confident in their ability to talk to parents and host school staff.\n\t, • Good working knowledge of camp activities. You must be prepared to take short term cover of groups until suitable cover is sorted.\n\t, • Good decision maker, able to quickly assess and make informed judgements.\n\t, • Pro-active and conscientious, able to adapt to situations when required.\n\t, • Paid pre-camp training programme to prepare you to be an Ultimate staff member.\n\t, • Competitive pay and opportunities for progression\n\t, • Subsidised First Aid qualifications and CPD opportunities.\n\t, • Each day is filled with rewarding work in an enthusiastic environment.\n\t

Are you a passionate and ambitious Level 3 qualified Personal Trainer looking to grow your self-employed career in a supportive and dynamic environment? At The Gym Group, we're more than just a gym-we're a nationwide fitness community that makes health and wellness accessible to everyone. We

Are you a passionate and people-focused Level 3 qualified Personal Trainer looking to build your career in a vibrant, supportive environment? At. We put people first-our members and our trainers! Here's why joining us is the best move for your career:. Your Benefits as a Fitness Trainer (Employe

Year 3 Primary School Teacher Billericay Full Time Location: Billericay, Essex Start Date: ASAP Contract Type: Full-Time, Long-Term About the Role Destination Education is seeking a dedicated and confident Year 3 Primary School Teacher to join a welcoming and well-resourced primary school in Billericay. This full-time role is ideal for an experienced teacher who is passionate about delivering high-quality teaching and supporting pupils as they progress through Key Stage 2. The school has a strong community ethos, supportive leadership, and a clear focus on pupil achievement and wellbeing. You will take full responsibility for the Year 3 class, working closely with teaching assistants and year group colleagues to ensure engaging, inclusive, and effective lessons are delivered consistently. Key Responsibilities • Plan, prepare, and deliver engaging lessons in line with the Year 3 curriculum., • Create a positive, structured, and inclusive classroom environment., • Assess, monitor, and track pupil progress, providing clear feedback and next steps., • Differentiate lessons to meet the needs of all learners, including pupils with additional needs., • Work collaboratively with teaching assistants, colleagues, and senior leaders., • Maintain accurate records and contribute to parents evenings and staff meeting...

If you would like to work in an enriched environment as a SEN Teaching Assistant, then this is the school for you! As a SEN Teaching Assistant, you will be required to provide both 1:1 and group support to children with varying SEN. Required Skills and Qualifications: * Teaching Assistant qualifi

This role would suit a PE Teacher who enjoys working in a high-expectation environment and is confident delivering practical lessons to engaged learners.

Key Responsibilities * Support children’s learning and development in line with the Early Years Foundation Stage (EYFS) * Plan and deliver age-appropriate, child-led activities * Ensure a safe, nurturing and stimulating nursery environment * Build strong relationships with children

With a proven track record in carrying out large schemes up to £800k, working for some of the UK’s biggest construction companies, they will offer you a challenging and innovative working environment. They will offer you a fun, flexible, supportive working environment The role – As

Multi Drop Delivery Drivers (Class 2) Chadwell Heath - Full Time, Permanent - Monday to Friday, 7am 5pm, no unsocial hours. Offering a competitive rate of pay, excellent development prospects, a secure position within an established company, and a dynamic and friendly working environment, we are loo