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Job Description 37.5hrs | Rivers Hospital The role At Ramsay Health Care UK, we know our people are our most important asset. Join us and you’ll help to develop and grow your in-hospital pharmacy team to play a key role in delivering exceptional care to our patients. Leading the Pharmacy department, you’ll help develop all Pharmacy services available at the hospital, driving innovation and improvement in one of the UK’s leading independent healthcare providers. Not only will you be valued here for the skills and expertise you bring as a Pharmacy Manager, but you’ll also have the chance to build on them, too, through our Ramsay Academy. We put the patient at the heart of everything we do – and you will too, with a can-do attitude that will make a huge difference to our Pharmacy service, our patients and your team. Where you’ll be based Rivers Hospital, High Wych Road, Sawbridgeworth, CM21 0HH What you’ll bring with you * Current registration as a Pharmacist with the GPhC - General Pharmaceutical Council * Clinical Diploma or equivalent clinical pharmacist experience * Experience in a management role, carrying out staff appraisal, development and training * Familiarity with electronic stock control systems * Policy, procedure and/or guideline development experience * Experience of safe medication practice * Audit and data analysis experience * Incident report and investigation • Participate in a rotational schedule, which may include working weekends to ensure continuity of clinical services., • Provide support for the Pharmacy on-call rota, assisting with urgent medication-related queries and ensuring timely access to essential medicines outside of standard hours. Budgetary and Change management experience – desirable * Business case development experience – desirable Benefits * 25 Days Leave + Bank Holidays * Private Pension where Ramsay will match up to 5% after a qualifying period * Flexible shift patterns available where possible * Enhanced Competitive Parental Leave Policies * Private Medical Cover with option to add partner & dependants * Life Assurance (Death in Service) x3 base salary * Free Training and Development via the Ramsay Academy * Free Parking on site (where possible) * Subsidised staff restaurant (where possible) * Concerts for Carers * Employee Assistance Programme * Cycle2Work scheme available, in partnership with Halfords * The Blue Light Card Scheme About us We’re Ramsay Health Care UK. With 35 hospitals, 7,600 staff and 200,000 patients treated every year, we’re one of the leading independent healthcare providers in England. We deliver a wide and comprehensive range of specialised clinical services from routine to complex surgery, day case procedures, cancer care, diagnostic services and physiotherapy. In addition, we also have our three standalone decontamination units which are essential to supporting our clinical outcomes. 94% of our facilities are rated ‘Good’ by the CQC, and we are extremely proud of the high quality of our staff as well as excellent relationships with doctors and our strong, longstanding partnership with the NHS. We’re part of a global hospital group with over 50 years’ experience that operates in 11 countries across the world. As people caring for people, our ethos helps make a huge difference in the lives of millions. We know that our people are our most important asset to our organization, and are the key to our success and continuing growth. To apply Please contact Julie Matthews on or 01279 602200 for an informal chat, or to ask any questions you may have before you apply. Or you can apply directly via ___ We are committed to equality of opportunity for all. This position is subject to an Enhanced DBS check. We reserve the right to close our adverts prior to the announced closing date to ensure a quality recruitment process. We care. It’s more than what we do, it’s who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. “The Ramsay Way” culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK’s Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD’s Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.

• £33,000 - £38,000 per annum, • Average uncapped bonus of £5,800 per annum (with potential to earn more), • 5 days a week Benefits Include: • 5.6 weeks’ annual leave, • Up to 50% off garage bills in our Autocentres and 25% off most our Halfords products in our retail stores, • Discounts on everything from groceries, shopping, insurance, days out, restaurants and more, • Family & Friends Discount Events, • Opportunity to buy a Trade Price Bike & enrol in the Cycle to Work Scheme, • Financial planning support via Wagestream - access up to 30% of your salary in advance, • GP Access, 364 days a year, 24 hours a day, • Join the Share save scheme with a 20% discount on shares, • Health Cash Plan – to access wellbeing services and claim back healthcare costs Skills and experience • Current MOT Testing Licence (No licence? Other opportunities available for Mechanic’s & Technician’s, contact one of our team on ___ for more details), • Must have a full drivers licence with no more than 9 points We’re in an exciting chapter – rapidly growing our business with a focus on motoring services and electric mobility. We’re the UK’s leading retailer of motoring and cycling products and services, and the UK’s largest Automotive service, maintenance and repair business. Join us and be part of our success story in getting the nation safely back on the move. Not sure you meet all the criteria? We'd encourage you to take the wheel and apply anyway! At Halfords we are committed to creating an inclusive workplace for our colleagues. We're an equal opportunities employer and proud to welcome applications from all backgrounds and embrace diversity within our one Halfords Family.

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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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 experiencesInclusion & how you'll work We are a Disability Confident 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. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. 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.

A More Balanced Way to Use Your Clinical Expertise Make a real impact using your nursing experience in a structured, flexible role with genuine work–life balance. Our hybrid roles involve 3 days in one of our Assessment Centres across London/Essex and 2 days working from home. Salary: £46,813 + up to 10% bonus (OTE) Note: Sponsorship is not available. About the Role As a Functional Assessor with Ingeus, you’ll use your clinical judgement to assess how health conditions affect daily living through telephone, video and face-to-face assessments. You’ll produce clear, objective clinical reports that help inform DWP decisions — no hands-on care, no shift work. We have vacancies in various Assessment Centres around London & the South-East. What You’ll Be Doing • Carry out functional assessments with claimants face-to-face, over the phone or via video call, • Review and evaluate clinical evidence, • Gather accurate information using focused questioning, • Produce structured, high-quality reports You’re a registered clinician with strong communication skills, confidence using IT systems, and the ability to write clear, accurate clinical documentation. You value structure, fairness and making a difference. Requirements • NMC or HCPC registration, • Nurse (RGN/RMN/RNLD), Physio, Paramedic or OT, • Salary + up to 10% bonus, • £2000 referral bonus scheme, • 25 days annual leave + BH, • Hybrid working, • Paid CPD + registration fee reimbursement, • Private pension & PMI, • Discounts and wellbeing support, • Develop specialist assessment skills, • Benefit from structured training and support, • Access genuine progression pathways

History Teacher Outstanding Secondary School (Ilford, East London) Start: January | Long-term or Permanent | Paid to Scale from Day One Horizon Teachers are supporting an Ofsted-rated Outstanding co-educational secondary school in Ilford, East London, who are seeking a qualified History Teacher to join their team on a long-term or permanent basis, starting ASAP. This role will begin on a long-ter... ZIPC1_UKTJ

Are you a commercially minded and design-conscious Town Planner looking to take the next step in your career? We're working with a well-established and respected planning consultancy based in the North West, now seeking an Associate Town Planner to join their growing team. This is a fantastic opportunity to take a hands-on role in meaningful, design-led projects and contribute directly to shaping the future of planning in the region. You’ll lead and support a variety of high-quality projects across the UK, including: • Residential and mixed-use developments (including apartments, townhouses, and supported living), • Community and institutional buildings, • Environmentally sensitive and landscape-led schemes, including Green Belt and protected sites, • Strategic planning advice, site promotion and feasibility work, • Planning applications, appeals, and public consultations About you: • MRTPI qualified with consultancy experience, • Excellent understanding of the UK planning system and development process, • Strong written and verbal communication skills, • Confidence in leading projects and engaging with clients, consultants, and local authorities, • A collaborative mindset and desire to contribute to a supportive, growing team, • Interesting, varied, and meaningful projects, • Supportive and sociable team culture, • Autonomy and trust from day one, • Clear opportunities for progression to senior leadership roles

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Permanent Start date: Negotiable start date We are seeking a creative and committed Teacher of Geography to join our thriving Humanities team. This is an exciting opportunity for an enthusiastic practitioner-whether an Early Career Teacher or an experienced educator-who is eager to inspire students and develop a love of Geography. Geography is a popular and well-regarded subject, with strong uptake at Key Stage 4 and a curriculum that encourages curiosity, critical thinking and a deep understanding of the world around us. You will teach across Key Stages 3, 4 and Key Stage 5, within a supportive department that values collaboration, high expectations and innovative teaching. What we're looking for: • A qualified Geography teacher with strong subject knowledge, • An engaging classroom practitioner with high expectations of all learners, • A team player who is keen to contribute to curriculum development and enrichment Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. This is a full time, permanent position. Closing date: 6 February 2026 Interviews: 26 February 2026 We reserve the right to close this vacancy early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Geography Teacher, Location: Ilford, ENG - IG2 6PF

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

Salary: UQT - UPR (Outer London Weighting) + well-being cash plan + pension scheme (TPS) + additional Lift Schools benefits Hours: Full Time Contract type: Fixed term (December 2026) Start date: As soon as possible We are seeking an enthusiastic Teacher of Business to join our forward-thinking team. This is an exciting opportunity for an ambitious teacher to deliver engaging Business lessons across KS4 and KS5, while also contributing to our KS3 Innovation & Technology curriculum. About the Role • Teach Business Studies at GCSE and A Level, inspiring students to think critically and creatively about the world of enterprise, finance, and marketing., • Deliver engaging and practical Innovation & Technology lessons at KS3, helping younger learners develop problem-solving, design, and entrepreneurial thinking skills., • Work collaboratively within a supportive department that values creativity, teamwork, and professional growth., • A qualified teacher (QTS) or working towards with a strong subject knowledge in Business Studies., • Able to deliver high-quality lessons that motivate and challenge students. Lift Bexleyheath is a welcoming and inclusive secondary school with a strong sense of community. Our school serves a diverse student population, and we are proud of the relationships we build with our families and wider community. The school is located in Bexleyheath, just 30 minutes from central London by train, and offers an excellent environment to both live and work. With a brand-new sixth form centre and investment in teaching spaces, it's an exciting time to join our team. We're proud to say that Lift Bexleyheath is on a journey of sustained improvement and innovation. You'll be joining a school with strong leadership and a shared determination to achieve the very best for every student. Who is Lift Schools? We're a diverse and inclusive network of schools with one clear mission; to provide an excellent education to every child - in every classroom, every day. And we do this across each of our 57 schools. As with our students, we want our team to be empowered to do their best work, supported by the best leadership they've ever had. We acknowledge and appreciate the exceptional efforts of everyone here in making this an incredible organisation. We offer you: • Career development and training: Access a wide range of statutory and developmental training to boost your career., • Our partnership with One World powers our innovative Instructional Excellence Program. We also offer a comprehensive range of CPD programs, including Ambition Institute's Early Career and NPQ offerings, tailored to both individual and network needs., • Generous benefits: From your pension plan to healthcare and financial support, we've got you covered. Closing date: 6 February 2026 Interviews: 26 February 2026 early should we receive an overwhelming response. All candidates are advised to refer to the job description and person specification before making an application. Lift Schools are committed to ensuring the highest levels of safeguarding and promoting the welfare of our pupils, and we expect all our people and volunteers to share this commitment. We adopt a fair and consistent recruitment process which is inline with Keeping Children Safe in Education guidance. This includes online checks for shortlisted candidates. All offers of employment are subject to an Enhanced DBS check, references, and where applicable, a prohibition from teaching check. Lift Schools embraces diversity and promotes equality of opportunity. Job share, part-time and flexible working opportunities will be considered. We are a Disability Confident Employer and there is a guaranteed interview scheme for candidates with disabilities who meet the minimum selection criteria. PandoLogic. Keywords: Business Teacher, Location: Ilford, ENG - IG2 6PF

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

Job Description Full Time 37.5 hours a week Rivers Hospital, Sawbridgeworth The role An exciting opportunity has arisen for the appointment of an Oncology/ SACT Senior Staff Nurse for our oncology unit at Rivers Hospital. The successful applicant will be an experienced nurse and you must be able to demonstrate that you are motivated and forward thinking for the continued success of the department. What you will bring * NMC Registered Nurse * Post Registration Qualifications/Course in Chemotherapy Administration * Proven ability to lead a team and work independently as required * Experience in organising oncology care * Benefits: * 25 Days Leave + Bank Holidays * Buy & Sell Flexi Leave Options * Private Pension where Ramsay will match up to 5% after a qualifying period * Flexible shift patterns available where possible * Enhanced Competitive Parental Leave Policies * Private Medical Cover with option to add partner & dependants * Life Assurance (Death in Service) x3 base salary * Free Training and Development via the Ramsay Academy * Free Parking on site (where possible) * Subsidised staff restaurant (where possible) * Concerts for Carers * Employee Assistance Programme * Cycle2Work scheme available, in partnership with Halfords * The Blue Light Card Scheme About us We’re Ramsay Health Care UK. With 35 hospitals, 7,600 staff and 200,000 patients treated every year, we’re one of the leading independent healthcare providers in England. We deliver a wide and comprehensive range of specialised clinical services from routine to complex surgery, day case procedures, cancer care, diagnostic services and physiotherapy. In addition, we also have our three standalone decontamination units which are essential to supporting our clinical outcomes. 94% of our facilities are rated ‘Good’ by the CQC, and we are extremely proud of the high quality of our staff as well as excellent relationships with doctors and our strong, longstanding partnership with the NHS. We’re part of a global hospital group with over 50 years’ experience that operates in 11 countries across the world. As people caring for people, our ethos helps make a huge difference in the lives of millions. We know that our people are our most important asset to our organisation, and are the key to our success and continuing growth. The oncology department is a small team, providing chemotherapy and immunotherapy to our self pay and insured patients. The team also offer a home chemotherapy service. The team strive for excellence with the patient and their families at the heart of everything they do. This is an exciting opportunity to join our team. We care. It’s more than what we do, it’s who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. “The Ramsay Way” culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK’s Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD’s Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.

What is Uber? Driving with Uber offers a flexible earning opportunity. Its a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment. Or maybe youre already using other rideshare apps and want to supplement your income by becoming a driver using the Uber platform. Why Drive With Uber?: * Receive your earnings fast: With Uber, you can pocket your earnings up to 5 times a day. * Minimum earnings guaranteed: Earn at least the National Living Wage. * Access to sickness cover or a New Parent payment*: With our Allianz insurance scheme, you have protection from the financial cost of life-changing events with insurance from Allianz. *Eligibility criteria apply. * Save for your future: You will have access to a pension plan that will include contributions from you and Uber. * Receive holiday pay* You will receive an additional 12.07% of your earnings each week, making it easier to plan some downtime. *Eligibility criteria apply. * You are your own boss: You decide how much or little you want to drive and earn. * No car? No problem: Well give you access to hire and leasing deals through our sister company, Vehicle Marketplace. * Signing up only takes a few minutes. We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: * A valid UK driver's licence (EU driver's licence needs to be converted to UK driver's licence before onboarding). * You will need a private hire licence from a licensing authority such as a council. If you don't have one, we'll help you get started with a personalised Ignition appointment where we offer advice and support after you sign up. * Be at least 21 years of age to apply for your private hire licence, as required by the UK government. * Driver profile photo taken at our Greenlight Hub. * Complete the EduMe Course, a virtual onboarding course that helps you familiarise with the Uber app and its features. * Required years of driving experience will vary depending on in which city you are based. Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Driving with Uber is a great way to supplement your part time or full time income. Drivers who use the Uber app come from all backgrounds and industries, setting their own schedules to make work fit into their lives, not the other way around. We'll help you get started. Additional Documents to Drive: Depending on your state/city, additional documentation and information may be required. Our 24/7 support is available every day to answer questions about registration.