Team lead jobs in Dagenham - Page 2Create job alerts

Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Lead Product Designer in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across sky.com and the My Sky app. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: • Inspire a team of designers to craft intuitive, evidence-led experiences across web and app platforms, while nurturing their growth through tailored development., • Shape design strategy that aligns with business goals, championing the customer voice and influencing product roadmaps., • Partner across disciplines- from product to engineering - to ensure solutions meet user, business, and technical needs., • Drive innovation through AI tools, design systems, and motion principles, delivering seamless, brand-aligned app-first experiences., • Translate customer insights into actionable design improvements, leading workshops, sprints, and research collaboration., • Own delivery and quality, track CX KPIs, and ensure accessibility standards are met across scalable, end-to-end journeys.What you'll bring:, • Track record in delivering world-class, customer-centred large-scale digital products and services across responsive web and native applications., • Experience leading design teams across multiple workloads and complex initiatives, • Expert-level Figma skills, including scalable templates, advanced prototyping and experience leading large-scale component libraries, • Mastery in accessibility to create inclusive experiences, user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to understand and improve journeys., • Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. Please include portfolio/content showing evidence of your experience across these four areas: 1. People - Helping develop high-performing teams., 2. Process - Applying scalable UCD methods that drive measurable outcomes., 3. Position - Influencing strategy and embedding design across an organisation., 4. Product - Producing provable world-class app-first digital experiences (Outcomes & Impact) 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 · A wide range of Sky VIP rewards and experiences How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base London (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. Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

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

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

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

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

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

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

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

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

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

Starting Well Facilities Team Leader. We are seeking a proactive and experienced Facilities Team Lead to join our Starting Well Directorate. Strong leadership and communication skills.

As a Kitchen Team Leader youll lead by example making sure the team have everything they need so service runs like clockwork! Youll support your team by encouraging and helping them to work well together ensuring every dish served is of the highest standards. As a Kitchen Team Leader you will. Abili

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.

Peaple Talent have partnered with a leading construction and facilities management company who are looking to recruit and experienced Proposals Manager to join their team based in East London. You will be responsible for driving business growth by leading the development and management of full lifecycle of bids and proposals, from initial capture planning through to submission. Onsite role £60,000 to £65,000pa + £4,500 car allowance Responsibilities: • Work closely with operational, commercial, and technical teams to gather input and produce winning content., • Develop high-quality written proposals, ensuring compliance with client requirements and company standards., • Coordinate and lead proposal planning meetings, setting clear timelines and deliverables., • Identify win themes, value propositions, and innovative solutions tailored to each client., • Ensure consistency, accuracy, and professionalism across all bid documents and presentations., • Contribute to continuous improvement of bid processes, templates, and best practices. Essential Qualifications • 3-5 Years in a Bid Management type role, • Proven experience of managing and writing bids and proposals in the construction or facilities management sector., • Strong track record of securing contracts valued up to £5 million., • Excellent written and verbal communication skills with a sharp attention to detail., • Ability to translate technical information into clear, persuasive, client-focused content., • Strong project management, organisational, and stakeholder engagement skills., • Confident working to tight deadlines in a fast-paced, collaborative environment.

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

Senior Project Manager - Fire & Security Systems. Trinity are hiring a Senior Project Manager to lead our project delivery team working across London and the South the role you will be managing installation projects for Fire Security and Life Safety systems. As a Project Manager you will take f

Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the re

As part of a broader Protection and Control team, you will be responsible for the design and implementation of Protection Systems that are for clients across the UK Transmission and Distribution sector. Responsibilities: * Technically lead and advise for the project Protection & Control content e

Interim Temporary Accommodation (TA) Lead – Key Responsibilities & Requirements • Provide day-to-day operational leadership and direct line management for the Temporary Accommodation service, managing a team of interim TA Housing Officers, supported by two Senior Interim TA Housing Offic

Organise and prioritise required tasks to ensure business needs are met whilst protecting sales and service in store. Support the Store Manager to manage all aspect of the store operations and lead the sales team members to ensure commercial objectives are achieved. Deputising Store Manager absence

Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the re

Air Conditoning Installer £33k-£45k doe Ilford Location My client are seeking a skilled and dedicated Air Conditioning Engineer to join their team. Read and interpret schematics, technical drawings, and manuals to facilitate accurate installation and repairs. Lead small teams during i

They’re growing rapidly and now seeking a competent Senior Quantity Surveyor or Commercial lead to join their growing team. Lead Quantity Surveyor Residential & Commercial Drylining Specialist Essex/ London £58,000 - £80,000 DOE Immediate Interviews

The Role * Lead end-to-end payroll delivery for UK & Ireland, ensuring accurate and timely payments across a large workforce * Provide strong leadership to the payroll team, developing capability and performance * Ensure full compliance with payroll legislation, pensions, statutory reportin

Key Responsibilities Lead, manage and supervise a team of social workers Ensure high-quality statutory practice and safeguarding Provide reflective supervision and performance management Oversee risk management, care planning and decision-making Support service development and quality assurance act

Lead Machine Learning Engineer.

Bonus Fully Remote - Condensed & flexible hours available (4 day working week available) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team.

Join Our Team as a Maintenance Manager! Are you a hands-on maintenance expert with a passion for keeping environments in top shape? Our client is looking for a dedicated Maintenance Manager to oversee all in-house maintenance operations at their vibrant campus.If you are ready to lead a team, manag

Role: Python Developer - Team Lead Location: Remote Salary: £60,000 - £70,000 Benefits: Pension Scheme Car scheme Cycle scheme Eye care scheme Mental health first aid Employee assistance programme Employee recognition scheme Trav Role: As the Senior Python Developer - Team Lead,

Champion best practices and elevate design thinking through leadership, example, and active contribution. Lead core and experimental projects, consistently raising the. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working

Lead the Way as a Store Manager at Sally Europe!.Are you a sales-driven leader with a passion for retail and inspiring teams? If you thrive in a dynamic, target-oriented environment and are ready to take your career to vibrant new heights, we want you on our team!.Your Role:As a Store Manager, you&r

My client is seeking a highly motivated Project Manager to join and lead their growing project team.

Estates Engineering Shift Leader - WC2E 9DD Permanent Contract4 days on/4 days off ‘continental shift’ pattern (42.12 average weekly hours) £56,247.62 per annumBased in: Covent Garden, London Prior to commencing your application , please review our application guide here. The Royal Ballet and Opera continues to lead the way in opera, ballet, music and dance both live on stage and through multiple digital platforms, from live streaming to worldwide cinema screenings. Our Covent Garden theatre has been at the heart of London and British cultural life for three centuries. We are home to two world-class Companies: The Royal Ballet and The Royal Opera . The Royal Opera House describes the place we work, not who we are. The whole is always more than the sum of its parts – we may be a House, but three quarters of our audiences experience what we do outside this building. While our Covent Garden theatre is the nerve centre, the impact and influence of the organisation can be felt in every corner of the country, and around the world. The role: We are now seeking to recruit an Estates Engineering Maintenance Shift Leader based within the Estates and Facilities Department. We have just brought the Estates Engineering Maintenance team in-house, so this is an exciting time to join the department and play a key role in the new structure of the team. In this role you will lead your own shift team and third-party specialist contractors in the delivery and implementation of the planned preventative maintenance and emergency reactive maintenance across Royal Opera House properties. What you’ll bring: Extensive relevant experience with shift maintenance experience in commercial properties. Mechanical/Electrical/Building Services qualification or proven competence through practical experience. A detailed knowledge of the working practices and demands of a large complex public building and/or listed building. Good working knowledge of statutory compliance within a medium to large, diverse, and complex estate. Ability to react quickly to situations, to be reliable and resilient, to perform consistently under pressure and to respond positively to changing circumstances. People management skills to supervise team members to ensure they have the requisite skills and knowledge and are competent and supported through training and coaching to achieve consistently high standards of performance. We value the diversity new hires can bring to our workforce. A working knowledge of our repertoire is not essential, but the ability to learn quickly is. How to apply: The Royal Ballet and Opera is one of the UK’s leading arts organisations and our aim is to inspire imagination, ignite emotion and make the extraordinary for everyone. Equality, Diversity and Inclusion underpin all that we do. We want our people to be representative of the diversity in the UK. We understand the creativity and innovation that diversity can bring and strive to create an inclusive environment in which everyone can thrive. We encourage applications from people with a wide range of backgrounds, experiences and skills to join our teams. We particularly welcome applications from those who are from a global majority background and/or those who are disabled, as they are under-represented within our organisation. We are a Disability Confident Employer, which means that we are actively working to ensure that candidates with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace. We will endeavour to offer an interview to candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they meet the essential criteria for the role, though sometimes due to the volume of qualified candidates with declarations this is not possible. The RBO is also committed to safeguarding and protecting all children, young people, and adults and we implement robust safer recruitment practices. Due to our safeguarding promise, certain roles will be subject to a DBS check before commencing employment with us, which will be indicated in the advertising. A full job description can be found here . For more information about working with the Royal Ballet and Opera, please review the info pack here. For a list of potential reasonable adjustments, please review this guidance document. If you have any access requirements for your application, please contact the RBO Recruitment Team on If you are applying as an internal candidate, you might find this guidance document helpful. Closing date for applications: 11:59pm, Thursday 12th February 2026. Interviews will be held the week of 23rd February 2026. To ensure a fair process, late applications will not be considered under any circumstances. Applicants must have work authorisation for the UK. No agencies.

Youll be responsible for setting up and overseeing the full operational management of the home, magaging a team of 5 (1 Team Lead and 4 Support Workers), to support the Ops Manager and RI in creating a safe, trauma-informed environment where the children in the service can thrive. Were currently wor

Our client, based in Lincolnshire, is currently recruiting for a fully remote Contract Lawyer on a 3-month rolling temporary contract. Duties will include (but are not limited to): * Report into the Senior Lawyer, whilst helping and training more junior members of staff * Lead team meetings, e

Lead an established staff team to deliver high quality care and support to Children and Young People. The Children's Home Manager in Ilford will need: * Level 5 Diploma in Leadership and Management for Residential Childcare or relevant qualification such as Social Work. Experience of leading

Job Title: Head Chef Location: Care Home, Ilford Salary: £18 per hour - 40 hours per week Position Type: Permanent Job Description: We are seeking an experienced and dedicated Head Chef to lead our kitchen team at a care home in Ilford. Qualifications and Skills: - Proven experience as

Location: London Length: 6 months PAYE only Overall purpose of the role: Lead and execute large-scale sanctions change and transformation projects. This VP role is central to delivering the sanctions components of the multi-year Integrated Financial Crime (IFC) Programme. Leverage expertise in Change Management and Sanctions to build robust solutions, oversee complex workstreams, and ensure high-quality execution. Key Accountabilities: Transformation and Programme Delivery * Own Transformation: Take end-to-end ownership of the sanctions-focused transformation agenda in collaboration with the Director. * Programme Management: Oversee the delivery of $\sim 5$ major Sanctions/IFC workstreams in 2026. * IFC Programme: Act as the key delivery manager for sanctions within the 18-month IFC Programme, ensuring integration by Jan/Feb 2026. * Workstream Oversight: Manage diverse change workstreams including Case Management, Sanctions Technology upgrades, and Organisational Design. * Solution Building: Analyse complex problems and build practical, sustainable change solutions for the Sanctions control environment. Expertise and Execution * Sanctions Domain Expertise: Provide hands-on Sanctions Domain expertise to support team execution and problem-solving. * Change Management SME: Apply deep Change Management SME to govern, plan, and execute large-scale projects. * Scale and Scope: Deliver demonstrable experience in executing changes of significant scale (e.g., multi-year system implementations, large-scale organisational re-design, integration post-acquisition). * Technology Exposure: Leverage knowledge of Sanctions Technology platforms (e.g., familiarity with Fircosoft is advantageous). Stakeholder Management and Autonomy * Autonomy: Manage self and workstreams autonomously, demonstrating the necessary gravitas to lead decision-making. * Stakeholder Engagement: Effectively manage and influence stakeholders across Compliance, Technology, and the Business to secure alignment and drive adoption. Key Skills: * Proven Change Management SME: Extensive background driving large-scale, complex transformation programmes in a regulated environment. * Sanctions Transformation Experience: Direct experience delivering major change initiatives specifically within the Sanctions domain. * Scale of Change: Direct exposure to managing multi-year change impacting multiple units/regions within a Tier-1/large Financial Institution. * Gravitas and Autonomy: Ability to operate independently at the VP level and engage senior stakeholders with high credibility. Desirable Skills and Experience: * Direct experience with Sanctions technology implementation/upgrade projects (e.g., Fircosoft, OFAC regimes). * Experience with broader Financial Crime technology. * Professional certifications (ACAMS/ICA) are a nice-to-have, but practical execution experience is key. About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measure and reward the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid: At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, ‘anchor’, days of the week, for a minimum of 3 days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business. Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

Head of Lighting - WC2E 9DD Permanent contractFull time; 42.5 hours per week £68,968.97 per annumBased in: Covent Garden, London The Royal Ballet and Opera continues to lead the way in opera, ballet, music and dance both live on stage and through multiple digital platforms, from live streaming to worldwide cinema screenings. Our Covent Garden theatre has been at the heart of London and British cultural life for three centuries. We are home to two world-class Companies: The Royal Ballet and The Royal Opera . The Royal Opera House describes the place we work, not who we are. The whole is always more than the sum of its parts – we may be a House, but three quarters of our audiences experience what we do outside this building. While our Covent Garden theatre is the nerve centre, the impact and influence of the organisation can be felt in every corner of the country, and around the world. The role: Our Technical, Production and Costume Department plays a leading part in ensuring our performances are of the highest quality by delivering technical excellence for every performance, rehearsal, and event. We are looking to recruit a Head of Lighting. This role will be responsible for the management and delivery of all lighting functions for the RBO, including co-productions and hires, for Covent Garden, overseas venues, and on tour, delivering safely and effectively within agreed resources and budgets. The role will be responsible for department leadership, development of existing resources and research and budget analysis of new technologies, staff recruitment and development, and robust safety and financial leadership. What you’ll bring: We are looking for a candidate with proven experience of managing a large scale, complex operation. You will be confident leading by example and promoting a positive team environment and culture of continuous improvement. You will also be able to demonstrate: An exceptional track record in effective lighting management for major professional productions. Excellent technical skills with a thorough understanding of current lighting equipment and systems and the implications of new product developments Computer skills should include Advanced AutoCAD, Vectorworks, Visualisation Software and MS Office, plus any other software pertinent to the role. Highly developed management skills and use of systems and procedures to support delivery of objectives, including: Project management Resource and budget management Collective terms and agreements Ideally, some experience of managing trade union relations and negotiations Demonstrable understanding of all relevant Health and Safety legislation, including experience of production risk management, and holding BS7909. To submit your application, please provide a supporting statement that outlines how your skills and experience match the essential criteria listed above. Your supporting statement will be reviewed by the shortlisting panel, so please do take the time to consider your response and use this to highlight your suitability for, and interest in, the role. We recommend drafting your response in a separate document and then copying the final version into the application form. Please note that as part of our commitment to anonymised shortlisting, panels do not view CVs during the recruitment process. If you choose to upload your CV, our system will automatically pull information from your CV into our application form. The Royal Ballet and Opera is one of the UK’s leading arts organisations and our aim is to inspire imagination, ignite emotion and make the extraordinary for everyone. Equality, Diversity and Inclusion underpin all that we do. We want our people to be representative of the diversity in the UK. We understand the creativity and innovation that diversity can bring and strive to create an inclusive environment in which everyone can thrive. We encourage applications from people with a wide range of backgrounds, experiences and skills to join our teams. We particularly welcome applications from those who are from a global majority background and/or those who are disabled, as they are under-represented within our organisation. We are a Disability Confident Employer, which means that we are actively working to ensure that candidates with disabilities and long-term health conditions feel supported, engaged and able to fulfil their potential in the workplace. We will endeavour to offer an interview to candidates who tell us they wish to participate in the scheme and who demonstrate in their application that they meet the essential criteria for the role, though sometimes due to the volume of qualified candidates with declarations this is not possible. The RBO is also committed to safeguarding and protecting all children, young people, and adults and we implement robust safer recruitment practices. Due to our safeguarding promise, certain roles will be subject to a DBS check before commencing employment with us, which will be indicated in the advertising. A full job description can be found here. For more information about working with the Royal Ballet and Opera, please review the info pack here. For a list of potential reasonable adjustments, please review this guidance document. If you have any access requirements for your application, please contact the RBO Recruitment Team on Closing date for applications: 11:59pm, Friday 30th January 2026. First-round interviews will be held from 9th February 2026. To ensure a fair process, late applications will not be considered under any circumstances. Applicants must have work authorisation for the UK. No agencies.

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

Content Lead (12 Month Fixed Term Contract) - London Overview of team purposeCreative Services is a dedicated delivery team providing high-quality content, design and social media that inspires and engages both business and

Assistant Front Office Manager (Guest Services Manager) you'll be responsible for managing the guest services team and ensuring that guests receive exceptional service throughout their stay. Lead, recruit, manage and motivate staff; set goals, delegate tasks, and monitor performance with a focus on

Join Lakefields Neurological Centre as the Lead Nurse/ Deputy Care Centre Director and be part of helping some of the most vulnerable people in society. You will lead and guide a team of nurses to provide exceptional care. As the Lead Nurse/ Deputy Care Centre Director, you will be:.

Join Lakefields Neurological Centre as the Lead Nurse/ Deputy Care Centre Director and be part of helping some of the most vulnerable people in society. You will lead and guide a team of nurses to provide exceptional care. As the Lead Nurse/ Deputy Care Centre Director, you will be:.