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Kickstart Your Delivery Career with Evri – Immediate Opportunities Available Now! Looking for a fresh start, flexible earning, or reliable work close to home? Evri is one of the UK’s leading parcel delivery networks, and we’re actively recruiting local drivers right now – with plenty of opportunities, including immediate starts for the right people! What sets Evri apart? We have something for everyone whether you’re looking for a regular income on a dedicated round, or you want more flexible work that fits around your lifestyle – we have work to suit you! What you’ll do: • Pick up parcels from your local Evri site., • Deliver in your local area for 4–6 hours a day (or more if you want)., • £15–£18 per hour OTE (based on realistic, competitive piece-rate pay-per-parcel – many couriers regularly exceed this once up to speed!)., • Immediate starts available – get on the road quickly., • Quick access to pay after your first delivery days., • Guaranteed earnings while you learn your route, plus a £100 bonus after 10 service days*. Deliver close to home in your own community. Enjoy true independence and flexibility. The more you deliver efficiently on your familiar route, the more you earn – steady progress and reliable rewards. No experience needed – just bring your own reliable car or van, your smartphone, and a positive attitude! Whether you’re changing careers, returning to work, or simply want something practical and rewarding nearby, Evri offers a real way to move forward. Apply now or download the Evri Courier Community App on the App Store or Google Play to get started today. *Terms & Conditions apply – full details supplied upon joining.

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

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

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

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

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

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

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

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

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

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

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

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

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

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 12 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: 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.

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 12 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! 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 12 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.

Sales Representative (Entry Level/No Experience Required) - Immediate Starts Available Role is based in Slade Green, Dartford (Full Time Equivalent) Eager to transition into the fast-paced world of Sales & Marketing? No prior experience needed - our client provides the training! Our client, a renowned company in Dartford, is expanding its sales team. Specialising in field sales & marketing, they focus on boosting brand awareness & driving revenue while delivering excellent customer service. The company’s mission is to connect customers with their clients' brands, creating long lasting relationships. All whilst providing a supportive, friendly & motivated working environment for their team to achieve their professional & personal goals. Our client is only able to accept candidates who are eligible to work full time in the UK. (NOT suitable for students, or current international students) This role is based in Slade Green. Applicants must be able to commute to the office on a daily basis. What They Offer • Recognition: Celebrate success at weekly meetings & award ceremonies., • Company Culture: Supportive, fast paced, fun-loving, motivated & team orientated!, • Training & Development: Develop sales & customer service skills through one-on-one mentorship with a senior salesperson., • Career Growth: Clear path to progress into leadership & mentor roles, within your first year., • Incentives: Earn extra financial rewards, event invites & win invites on international travel events., • Prime Location: Office located in Slade Green with great transport links., • Immediate Starts Available. Responsibilities • Sales: Engage in face-to-face field sales & residential environments, representing brands & closing sales., • Teamwork: Collaborate with colleagues to refine sales pitches & tailor your sales approach., • Listen: Take on advice from your mentor, to be able to grow your skills and understanding., • Customer Service: Deliver top-notch customer service to ensure satisfaction, retention & customer experience., • Brand Promotion: Communicate product benefits clearly to increase brand awareness., • Meetings & Events: Participate in daily office meetings & optional social gatherings to grow your network. Requirements • Full-time Availability - MUST be eligible for full-time work within the UK, • Strong face-to-face communication skills in English., • Willing and able to commute to Slade Green office each working day., • Personality: Friendly, approachable & confident., • Attitude: Positive, target-driven & persistent., • Team Skills: Enjoy working within a team, meeting new people & building connections., • Availability: Equivalent of full-time hours, five days a week, Monday - Saturday., • Plus but not required: Experience in customer-facing roles (like retail, hospitality, or customer service) This self-employed role offers the equivalent of full time hours with commission-based earnings, ideal for those motivated by performance & success. This role is not suitable for candidates still in education (school/College/University), or current international students. Due to availability, our client is seeking candidates that can work 4/5 full days per week (Between Mon-Sat) Apply now! - Roles are Based in Slade Green. • Please note, by applying to this advert you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

Our client is top legal 500 law firm based close to Ilford are currently looking for a Legal Practice Manager to join their firm. The successful candidate will immerse themselves in a dynamic environment, where a comprehensive suite of legal services is delivered with finesse. Specialising in Property, Family Law, Housing law, Employment Law, and Private Client Wills and Probate, the firm prides itself on its meticulous attention to individual and business clients alike. The firm seeks a confident professional, one who can seamlessly integrate into a bustling environment and uphold the high standards synonymous with the practice. Candidates must possess a proven track record in legal practice management, demonstrating a thorough understanding of compliance and operational excellence. A hands-on approach is essential, coupled with the ability to manage multiple tasks efficiently. This role is not merely a chance to contribute; it is a platform for the right individual to make a significant impact, ensuring the continued success of a firm that places client satisfaction and quality service at the forefront of its ethos. This is an office based role Key Responsibilities for this Legal Practice Manager role: • Oversee the day-to-day running of the firm’s offices and ensure efficient administrative operations., • Manage HR functions including staff recruitment, onboarding, training, and performance reviews., • Ensure compliance with SRA regulations, Lexcel standards, AML policies, and GDPR., • Liaise with accountants and manage office finances, budgets, and cost control measures., • Maintain and update office policies and procedures., • Provide leadership and support to fee earners and support staff., • Coordinate IT systems and liaise with third-party providers as needed., • Support partners with strategic planning and business development initiatives., • Proven experience as a Practice Manager within a legal environment., • Strong knowledge of SRA compliance, financial management, and HR processes., • Excellent organisational, communication, and problem-solving skills., • Ability to manage multiple responsibilities across two office locations. PLEASE CHECK YOUR EMAIL (INCLUDING SPAM FOLDER) FOR CONFIRMATION YOUR APPLICATION HAS BEEN RECEIVED. In accordance with

Software Application Manager Location: South East London (on-site parking available) Salary: £50,000 – £55,000 Working Pattern: 4 days on-site (non-negotiable) | Fridays remote The Role This is a senior application ownership role within a large, operationally complex organisation where software systems are business-critical. You will be responsible for running and owning a portfolio of enterprise applications — ensuring they are stable, secure, fit for purpose, and aligned with how the business actually operates. This is not a development role and not a delivery/project management role. It’s a role for someone who wants clear accountability, authority, and long-term ownership of applications that matter. Overall Responsibility (Plain English) You are the key holder for applications. If an application: • isn’t working properly, • isn’t fit for purpose, • isn’t being supported correctly You’ll work between the business, suppliers, and internal IT teams to make sure applications are well run, well governed, and well understood. What You’ll Be Doing • Owning a portfolio of business-critical software applications, • Acting as the single point of accountability for how those systems perform, • Managing third-party vendors and SaaS providers, • Overseeing application lifecycle: onboarding, change, optimisation, and retirement, • Ensuring applications meet security, compliance, and operational standards, • Working closely with stakeholders to understand requirements and priorities, • Making informed decisions around risk, cost, and usability The Profile That Fits This role suits someone who: • Has previously owned applications or application estates, • Is comfortable being accountable, not just involved, • Can deal confidently with suppliers and senior stakeholders, • Brings structure, clarity, and calm to complex environments, • Application Manager / Application Owner, • Systems Manager, • IT Service / Platform Manager, • 4 days per week on-site, • Friday remote working Package • Salary £50,000 – £55,000, • Stable, long-term role with real ownership, • Low bureaucracy, high trust This is a role for someone who wants to own systems, make decisions, and be trusted — not hide behind process or titles. If you enjoy running applications like a business, this role will suit you.

Company: Aegis Care Shield Location: Hybrid (Remote / Essex-based) Contract: Part-time to Full-time (Phased) Salary: £50,000 FTE (Pro Rata during part-time phase) Start Date: ASAP Company Description Aegis Care Shield is an independent fostering agency in Essex with a bold vision, to provide safe, nurturing, and stable homes for children and young people in need. We're seeking a dynamic, qualified, and experienced Registered Manager to help us through Ofsted registration and into full operational success. Role Description This is a phased role: • Phase 1 (Pre-Registration): 0.5 days/week to lead on Ofsted application, draft policies/procedures, and prepare for inspection., • Phase 2 (Post-Registration): Full-time (5 days/week) as the operational lead of the agency. Key Responsibilities • Lead and oversee the Ofsted registration process and inspection readiness, • Write and implement all required policies and procedures in line with fostering legislation and best practice, • Ensure the service is compliant with the Fostering Services (England) Regulations 2011 and National Minimum Standards, • Recruit, supervise, and support staff and carers, • Maintain high standards of safeguarding, record keeping, and care planning, • Lead the quality assurance, development, and continual improvement of the agency, • Be responsible for regulatory notifications and liaison with Ofsted Qualifications Minimum Qualifications and Experience (minimum qualifications to be considered) • Social Work qualification (Degree, DipSW or equivalent), • Registered with Social Work England, • At least 2 years' experience managing a fostering or children’s care service, • Experience in managing a fostering agency or similar care setting, • Strong knowledge of safeguarding, compliance, and fostering regulations, • Experience of Ofsted inspections are highly desirable, • Knowledge of child welfare policies and regulations, • Strong leadership, report-writing, and communication skills, • Commitment to ethical, child-centred practice, • Leadership and team management skills, • Strong organisational and time management abilities Why Join Us? This is a rare opportunity to help shape a new fostering agency from day one, build a positive organisational culture, and make a lasting difference in children’s lives. We offer flexibility, autonomy, and the chance to lead a service with values at its core. To apply, please submit your CV and a short covering statement outlining your suitability. Please submit your full CV with any gaps in employment briefly explained

Branch Manager – Huws Gray (Bexleyheath) - Inspire your Team, Grow your Branch, and Make a Real Difference Every Day. Be Part of Something Bigger at Huws Gray. Whether you're in the trade or simply love a good home improvement project, chances are you've heard of us. We’re the Huws Gray Group – home to a family of trusted brands including Huws Gray, Hirebase, Civils & Lintels, The Timber Group, PDM, NDI, and Anglia Tool Centre. Across the UK, our branches support local communities with everything they need for building, improving, and creating – we couldn’t do it without our people and that’s where you come in! Ready to take charge and make an impact? We’re looking for a Branch Manager to join us at Huws Gray Bexleyheath. As a Branch Manager, you’ll lead a high-performing team, drive business growth, and ensure our customers receive exceptional service. You’ll shape the success of your branch, create opportunities, and foster a supportive work environment. What you’ll be doing: • Making sure you, your team and our customers are safe by following all the appropriate guidelines, • Delivering top-tier customer service that keeps people coming back, • Managing branch performance whilst maximising its profitability - including P&L and customer ledger responsibilities, • Developing business opportunities - growing relationships with new and existing customers, • Ensuring your transport is used to its full potential, • Supporting and mentoring your team through delegation, training, one-to-ones, and reviews, • Overseeing branch resources - including stock, equipment, and vehicles We’re happy to explore flexible working options. Feel free to chat with us about it during the interview. While we might not be able to meet every request, we’ll always listen with an open mind—and there’s no judgment in asking. What you’ll bring: You don’t need to tick every box—if you’re passionate about leadership and customer service, we want to hear from you. We’ll give you the training and support you need to succeed, but previous management experience is key. What’s in it for you: We believe great work should be recognised and rewarded. Here’s what you can expect: • 23 days’ holiday, plus bank holidays (31 days per year), • Company car, • Company bonus scheme, based on performance, • Contributory pension and life assurance, • Private healthcare, • Discounts on high street retailers, supermarkets, restaurants, gyms and cinemas, • Colleague discount across our group brands, • Attraction and travel discounts, • Training and development programmes to support your growth We offer on-the-job training and opportunities to work towards recognised qualifications, including apprenticeships. At Huws Gray, we believe that a diverse and inclusive workforce makes us stronger, smarter and better at serving our customers. We’re proud to be an equal opportunities employer and we are committed to creating a respectful and inclusive workplace, whether you’re based in one of our branches, on the road or in one of our offices. If you need any adjustments to support you through the application or interview process, please let us know.

Enhance Catering is recruiting an experienced Chef Manager to lead the kitchen at a new school opening near Barking (IG11). This is a fantastic opportunity to be involved from the start, helping to shape the service, build your team, and set high standards from day one. About the Role Job Title: Chef Manager Working Days: Monday to Friday Hours: 6:30/7:00am3:30/4:00pm (45 hours per week) Working Weeks:... TLNT1_UKCT

Role: Metering Solution Engineer Length: Initial 6-month engagement Location: Fully Remote Pay Rate: £300 - £375 per day One of my consultancy clients are currently looking to build out a team of Metering Solution Engineers on an initial 6-month engagement, this

Salary: L7 - L11 + Wellbeing Cash Plan + Car Scheme + Pension Scheme (TPS) + Additional Benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date Lift Bexleyheath is looking for a SENDCO, this is a great opportunity for an exceptional teacher looking to further their career within Lift Schools. We are seeking to appoint an enthusiastic, committed and child focused SENDCO to be the advocate and whole school driving force supporting children with identified SEND needs. You will be responsible for leading and coordinating innovative and evidence-based provision for children who have identified special educational needs and disabilities (SEND). Our ideal candidate will have Qualified Teacher Status and the desire to enrol and complete relevant SEND CPD and Qualifications. You will have experience of working with parents to support SEND children and proven ability as an excellent classroom teacher. You will bring to the role, your knowledge and thorough understanding of statutory regulations in relation to SEND and equality and have experience of working with a multitude of external agencies. You're someone who'll be able to: • Ensure (SEND) provision is both efficiently and effectively managed, • Provide professional guidance in the area of SEND in order to secure high quality teaching Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training:Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Teacher, Location: Bexleyheath, ENG - DA7 4LF

Day-to-Day Responsibilities As a Learning Support Assistant, your daily responsibilities will include providing one-to-one and small group support to pupils within a special school setting, helping them to access the curriculum and engage positively with learning. SEN Teaching Assistant We are see

As a Personal Care Teaching Assistant, your day-to-day responsibilities will include: Supporting pupils with personal care needs, including toileting, dressing, and feeding where required Assisting students during lessons to help them access learning and engage with activities Working one-to-one

Self-Employed Mortgage Advisor – England (Remote) Experienced Advisers & High-Performing Sales Professionals Build Your Own Mortgage Business with Full Autonomy – Earn Up to 80% Commission from Day One! If you’re a driven mortgage adviser who wants the freedom to grow your own busi

History Teacher – Outstanding Secondary School (Ilford, East London) Start: January | Long-term or Permanent | Paid to Scale from Day One Horizon Teachers are supporting an Ofsted-rated ‘Outstanding’ co-educational secondary school in Ilford, East London, who are seeking a quali

Please note, this role offers hybrid working - two days per week will be based in their office in Central London and one day per week will be based at their other site near Kent with two days per week working from home. You will be responsible for endpoint configuration, compliance, patching, and ap

It's meaningful work that helps create a sustainable future; and you'll be at the heart of it, every day. Ensuring timely and efficient co. We're currently hiring Class 2 HGV Drivers - and one of the best parts? No previous HGV driving experience is required.

Female Support Worker - Ilford, Essex Benefits: £12.71 per hour 35 hours per week 28 days holidays inclusive of bank holidays Flexible Additional Holiday Purchase Scheme DBS check paid by Caretech prior to starting with us. Full induction programme to Care Certificate Standards Stakeholder Pension Share Save Free Employee Assistance Programme We offer Apprenticeships to those with less experience looking to join the Care Sector We provide FREE training to achieve qualification in Social Care. Carer progression within the company. The Role: We are providing individuals with practical and emotional care, enabling them to lead as ordinary life as they can achieve. To help them achieve this you will need to be flexible as you are required to work shifts including bank holidays, weekends and potential sleep ins. If your best traits are positivity, friendliness and innovation then this job is for you! Main duties and responsibilities: To participate in the day to day implementation of individual support plans and activities within a challenging environment. To maintain effective communication and liaison with service users, families and others whilst respecting appropriate confidentiality. To support service users with the preparation of Meals, Laundry duties, cleaning and social events. To maintain accurate notes and records as and when required. To work as part of a team to provide high quality care. Personal Characteristics: Diploma in Health and Social Care or be willing to work towards one. Experience in supporting adults with challenging behaviour, learning disabilities and/or mental health issues. The ability to keep calm under pressure. The confidence to work alone or as part of a team. Excellent communication skills The passion to work with vulnerable adults The desire and commitment to achieve high standards of safeguarding. The Organisation: CareTech Community Services Ltd is a provider of specialist social care services supporting 5000 adults with a wide range of needs in more than 300 services across the UK. Committed to the highest standards of care and governance, we provide innovative care pathways for people to live in community settings with learning disabilities, severe physical disabilities, autistic spectrum disorder, challenging behaviour, mental health, forensic needs and acquired brain injury within a range of settings including, supported living services, shared housing, residential services and outreach. We encourage people to take control of their lives – this could be finding employment, having an active social life, learning new skills or building self-confidence. Successful candidates will be required to complete a enhanced DBS disclosure prior to commencement of employment, the disclosure expense will be met by the employer. Due to the high volume of applications we receive, we are unable to contact every applicant. We will be in touch 7-10 days after receipt of your CV if progressing your application to the next stage. STRICTLY NO AGENCIES

BURGERS & FRIES AND INCREDIBLE CAREERS! We're the burger restaurant with the uncomplicated formula: burgers and fries cooked to perfection, with no frozen ingredients. And we've stuck to the same 'perfect and serve' philosophy since our family business began in 1986. In some of our stores, there is a talented Bench General Manager who is waiting for their own store. While waiting for your own store you will be based at one of our existing stores supporting the current General Manager and potentially other stores within the district. You will be accountable for the stores day to day operations and results. This includes; leading, inspiring and coaching the teams to ensure the restaurant delivers profitability, and optimises all sales opportunities while delivering an excellent level of customer service. Our Bench General Manager are our brand ambassadors, they ensure we deliver an excellent level of customer service while demonstrating leadership, coaching and direction. They will bring our values to life for their team and our customers. REWARDS • An achievable 20% bonus scheme - paid quarterly, • An additional Secret Shopper bonus worth up to £2,000, • High Performer Awards and Bonus's, • Long service Love2Shop voucher reward - 5 years £500, 10 years £1,000, • 33 Days paid holiday, • Paid breaks, • Free burgers, fries and shakes while on shift, • Private medical via Vitality, • Life assurance, • All employees get access to Stream. The financial wellbeing app with simple-to-use, flexible benefits built around your payOTHER AWESOME PERKS, • Days out and social events, • Invite to the annual General Manager conference, • Team competitions - Fry Cup and Olympics, • Five Guys Perks - employee discount program, • Access to wellbeing support and employee assistance programme (EAP), • Development opportunities to grow a career with us!, • Enhanced Maternity & Paternity Leave, • Pension schemeAS A BENCH GENERAL MANAGER YOU'LL BE, • Accountable and responsible for your entire store and the people within, • Developing and managing the store team, while supporting the delivery of perfect burgers and fries, • You will be expected to lead from the front, you will be hands-on at times which means jumping in and working on the line shoulder to shoulder with our Crew and Managers, • Having full ownership of your P&L, which means you will need to drive sales whilst controlling costs, • Your store will need to run smoothly on the day-to-day operations and think about long term planning, • Spotting potential and developing your team to ensure there is a strong talent pipeline, • Drive the Five Guys culture by always role modelling our values, • Creating an awesome working environment where people are happy to come to work and have fun, • Responsible for reward and recognition, • Demonstrate close attention to detailAS A BENCH GENERAL MANAGER YOU'LL BE ENTHUSIASTIC ABOUT, • Perfect Burgers and Fries, • Our values; Competitive, Enthusiastic, Family, Get It Done and Integrity, • People - Experienced hands-on leadership skills, • Customer service, • Having your people's development at heartINCREDIBLE CAREERS WITH FIVE GUYS, • Your next step would be taking on a higher volume store, New Store opening, Area Trainer, District Manager or a role in the Support Office, • Five Guys isn't just a job - it can be a career!, • If you are ambitious and want to grow - we can provide you with support and the right tools to build a career with us

History Teacher Outstanding Secondary School (Ilford, East London)If you are interested in applying for this job, please make sure you meet the following requirements as listed below. Start: January | Long-term or Permanent | Paid to Scale from Day One Horizon Teachers are supporting an Ofsted-rated

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 12 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: 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 Rates: 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.

Do you thrive in a fast‑paced environment where no two days are the same? At Powerleague, we’re looking for a Duty Manager to support the day‑to‑day operations of one of our leading 5‑a‑side football venues. Ready to take control of the game? Apply now and become a Duty Manager at Powerl

This role is a physical job, So if you are looking at sitting in a cab all day this isn't the job for you.

A veterinary practice in the North East of England is seeking a dedicated Locum Vet Surgeon who specializes in small animals for a one-day coverage on November 2, 2024.

This role is a physical job, So if you are looking at sitting in a cab all day this isn't the job for you.

This role involves a full-day shoot in London, focusing on high-quality food products for a premium restaurant brand.

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Day One Access is expanding, and we’re building a trusted network of skilled tradespeople to support ongoing and repeat work across residential and managed properties in London & Surrey. Day One Access is expanding and we’re building a dependable network of skilled trades for ongoing and repeat

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Benefits include 34 days of holiday, a Nest Pension, and opportunities for professional development.

A one-day workshop designed to help you build confidence, develop job-ready skills, and explore careers in marketing. This is a fantastic opportunity to learn from the marketing experts behind one of the world's most respected health and wellbeing brands. Learn how they got into marketing, what thei