New balance jobs in BorehamwoodCrear alertas

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £55,000 (inclusive of London Weighting Allowance, if applicable), • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £50,000, • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles, • A full UK driving licence with fewer than 6 points We’re Orange Heroes At the RAC, we never stand still. With a legacy of over 125 years, it’s this restless drive for better that’s earned the trust of over 12.5 million members and it’s why we’re on a mission to be the UK’s number one motoring services provider. That commitment to excellence isn’t just felt by our members, it’s echoed by our people too. With a 4.5-star rating on Glassdoor, our colleagues recognise the RAC as a place where ambition, support and authenticity come together. We’re all about progress powered by people. As an equal opportunities employer, we welcome every background, champion every voice and back your growth every step of the way. At the RAC, individuality fuels innovation and you’re invited to bring your full self to it.

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £50,000, • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles, • A full UK driving licence with fewer than 6 points We’re Orange Heroes At the RAC, we never stand still. With a legacy of over 125 years, it’s this restless drive for better that’s earned the trust of over 12.5 million members and it’s why we’re on a mission to be the UK’s number one motoring services provider. That commitment to excellence isn’t just felt by our members, it’s echoed by our people too. With a 4.5-star rating on Glassdoor, our colleagues recognise the RAC as a place where ambition, support and authenticity come together. We’re all about progress powered by people. As an equal opportunities employer, we welcome every background, champion every voice and back your growth every step of the way. At the RAC, individuality fuels innovation and you’re invited to bring your full self to it.

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £50,000, • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles, • A full UK driving licence with fewer than 6 points We’re Orange Heroes At the RAC, we never stand still. With a legacy of over 125 years, it’s this restless drive for better that’s earned the trust of over 12.5 million members and it’s why we’re on a mission to be the UK’s number one motoring services provider. That commitment to excellence isn’t just felt by our members, it’s echoed by our people too. With a 4.5-star rating on Glassdoor, our colleagues recognise the RAC as a place where ambition, support and authenticity come together. We’re all about progress powered by people. As an equal opportunities employer, we welcome every background, champion every voice and back your growth every step of the way. At the RAC, individuality fuels innovation and you’re invited to bring your full self to it.

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £55,000 (inclusive of London Weighting Allowance, if applicable), • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities As an RAC Mobile Mechanic in the Service, Maintenance and Repair division, you’ll bring expert vehicle maintenance and diagnostic skills directly to our customers, wherever they are. From driveways to office car parks, you’ll deliver first-class service without the constraints of a traditional garage. We’ll equip you for success from day one - with your own RAC van, fuel card, full uniform, essential tools, and diagnostic kit all provided. Think independence, career progression, and real work-life balance - with a 40-hour week that keeps you moving and out of the same four walls. The RAC has been a trusted name for over 125 years, combining our heritage with bold innovation. Now’s the time to join a company that’s redefining roadside repair. If you’re a skilled, practical mechanic looking to be part of something big, this is for you. No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £50,000, • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles, • A full UK driving licence with fewer than 6 points We’re Orange Heroes At the RAC, we never stand still. With a legacy of over 125 years, it’s this restless drive for better that’s earned the trust of over 12.5 million members and it’s why we’re on a mission to be the UK’s number one motoring services provider. That commitment to excellence isn’t just felt by our members, it’s echoed by our people too. With a 4.5-star rating on Glassdoor, our colleagues recognise the RAC as a place where ambition, support and authenticity come together. We’re all about progress powered by people. As an equal opportunities employer, we welcome every background, champion every voice and back your growth every step of the way. At the RAC, individuality fuels innovation and you’re invited to bring your full self to it.

Join the RAC. Together, we’re going places. • A competitive base salary of £38,625, with on-target earnings of up to £55,000 (inclusive of London Weighting Allowance, if applicable), • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic at RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £38,625, with the opportunity to increase your earnings up to £50,000 through bonuses and premium-rate overtime. A full-time 40-hour week, with Monday–Saturday availability (8am–8pm), offers flexibility and stability, • Opt-in Guaranteed Overtime - after your first month, you can choose to work extra rest days at £30 per hour. Just one extra day a month could earn you £3,000 more per year on top of your base salary. Two extra days could give you an extra £5,000. It's your choice - more flexibility, more reward., • Tools to Drive Your Future - get started with a free RAC Ultimate Complete Breakdown Service from day one, plus access to a car salary sacrifice scheme (including electric vehicle options) after 12 months, delivering serious tax savings., • Time Off That Matters - enjoy 23 days of holiday (rising to 25 with service), plus bank holidays. We also support work-life balance with paid family leave, flexible schedules, and practical resources to help navigate personal commitments., • Financial Security & Perks - pension scheme with up to 6.5% matched contributions alongside life assurance cover up to 4x salary (10x optional with flex benefits), designed to support you long-term., • Wellbeing That Works for You - our 24/7 confidential support service is available to you and household members aged 16+, offering reassurance whenever you need it., • Extras That Make a Difference - access Orange Savings, our exclusive discount portal with deals across top retailers, holidays, tools, tech and more. After passing probation, you’ll automatically join our Colleague Share Scheme, giving you a stake in our collective success. Sound like your kind of role? Here’s what we’re after:, • You're someone who gets people. This isn’t just spanners and engines—our mechanics are out there on driveways, chatting with customers, giving advice, and representing the RAC with pride. You’re not just in the RAC—you are the RAC. Every fix, every chat, every driveway visit shows what we’re all about., • You like mixing things up. Every day’s a little different—servicing, diagnostics, repairs, and checks. But it doesn’t stop there: you’ll manage your stock, do your reporting, and keep those customer conversations flowing., • You think on your feet. You’ll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. What you’ll need:, • Level 2 light vehicle maintenance qualification (or equivalent), • At least 3 years' hands-on experience as a vehicle technician working with a range of light vehicles

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

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

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

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

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

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

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

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

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

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

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

Head Registered Veterinary Nurse – No OOH + Personalised rota Up to £42,000 DOE + attractive benefits package Full time/ Permanent – 40 hours per week Finchley, North London Are you a HRVN looking for your next role? Looking for a new role with state-of-the-art equipment and advanced technology? Do you want to work with a friendly team with high standards of care? A rare opportunity to join a practice in North London has arisen. The clinic is ran by 2 practice owners alongside the Head Vet who is currently undertaking a dermatology certificate. Our team has 3.5 vets, 1 RVN, 2 SVNs, 1 VCA, and the practice manager who all uphold the highest standards of care. We also have visiting peripatetic orthopaedic surgeons and an ultrasonographer. We are excited to be having a practice rebrand planned soon and are looking for an experienced nurse to join our supportive and happy team. We also prioritise your work-life balance and ensure that you have a flexible rota to suit you and your needs. Your role would be varied with the opportunity to provide coaching for our SVNs, running nurse clinics, carrying out schedule 3 surgical procedures, vaccinations and post-op checks. What’s in it for you? • Competitive salary, • No OOH, • Generous CPD package, • Birthday Leave, • Supportive working environment, • Regular lunch and learns, • Pension Scheme, • Flexible rota to suit you, • Paid membership fees (RCVS, BVNA, VDS), • Social events and a focus on wellbeing, • Exclusive discounts and rewards Working Hours: 40 hours per week across 4 days Flexible rota Weekends on rotation Location: The surgery is Iocated in North London with excellent transport links to Tottenham, Finchley, Barnet, Enfield and surrounding areas. Want to apply or want more information? Once you submit your CV, someone will be in contact with feedback and an option for an informal chat within 2 working days. Feel free to call Compass Associates mainline and ask for Carina Walker, though information will be limited without a CV. Recommendations Compass Associates Ltd are working in partnership on this position. If you are not interested, but know someone who is, we offer £200 vouchers for each successful recommendation.

Registered Branch Manager Barnet & Camden N3 2JU Full-time | London Ready to lead, inspire, and make a real difference? At MiHomecare, we don’t just provide care—we create brighter days for both our service users and our teams. Every day brings new challenges, exciting opportunities, and the chance to transform lives. As a Registered Branch Care Manager, you’ll be at the heart of it all. Why Join Us? • Career Growth – We invest in your development with training, coaching, and qualifications to help you thrive., • Support & Autonomy – Lead a passionate care team and shape the future of our Brighton branch., • Great Benefits – Enjoy up to 14% discounts at top retailers like Tesco & John Lewis, occupational sick pay, and death-in-service payment. 🔹 Oversee the day-to-day operations of our Brighton branch, ensuring top-quality care services. 🔹 Recruit, develop, and lead a compassionate and skilled care team. 🔹 Ensure full regulatory and contractual compliance, maintaining high CQC standards. 🔹 Drive growth and success, ensuring our service users receive the best care possible. What We’re Looking For A passionate leader with experience in domiciliary care management. Strong knowledge of CQC regulations and a proven ability to drive compliance. Excellent people skills, with the ability to motivate and inspire teams. A strategic thinker who can grow and improve branch operations. 🔹 If you’re ready to take the next step in your career, apply today and be part of something truly rewarding! CCH Group are an equal opportunities employer.

New for 2026, this internship brings together the best of general merchandise and fashion under one roof. It's all about helping you grow into a future leader in buying and merchandising-while working with great people, developing exciting products, and working on real commercial challenges. To be considered for an interview, please make sure your application is full in line with the job specs as found below. Salary: £26,000 pro rata Programme start date: 15 June 2026 Create product ranges for our stores-from cosy home textiles to stylish accessories and seasonal must-haves Collaborate with F&F, our in-house clothing brand, to learn how fashion trends and customer tastes shape what we offer Build strong relationships with suppliers, managing contracts, and making sure the right products land in the right place at the right time. This section is here to help you get a feel for what each scheme is about and what might suit you best. Don't worry if you don't have all the skills listed - we don't expect you to. We're looking for potential, curiosity, and a willingness to learn. We'll support you to build the rest. An interest in how things work - from idea to delivery - is really useful A curious mind and enjoying seeing a plan come together is something we value You might work with data to help inform decisions, but experience isn't essential. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we're all those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone's welcome. That's why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. Working at our Welwyn Garden City campus Our leafy, green campus is just 10 minutes' walk from the centre of Welwyn Garden City with its many shops, restaurants, pubs and sports facilities. Close to the A1, and with frequent trains running to Finsbury Park in just 20 minutes (free shuttle buses take you between the station and office), the campus is well connected to the surrounding area. On campus, you'll find subsidised restaurants and coffee shops, as well as a Tesco Express to pick up your lunch or last-minute essentials. xrnqpay You can join the on-site Nuffield Health gym, which has state-of-the-art fitness equipment, two studios for group classes, plus treatment rooms (membership costs £23.50 per month).

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit ___ As a Product Manager specializing in Endur, you will be responsible for driving the product strategy, roadmap, and delivery of Endur-based solutions for our clients in the energy and commodities trading industry. You will work closely with business stakeholders, technology teams, and end users to ensure the successful implementation and optimization of Endur solutions to meet business objectives. • Define and own the product vision, strategy, and roadmap for Endur implementations, ensuring alignment with business goals., • Collaborate with cross-functional teams, including trading, risk, and technology, to design and deliver high-impact Endur solutions., • Act as the primary liaison between business stakeholders and development teams, ensuring clear communication and alignment on product priorities., • Gather and analyze business requirements, translating them into actionable user stories and product features., • Drive the full product lifecycle, from concept to launch to ongoing optimization, ensuring a seamless and valuable user experience., • Monitor market trends, regulatory changes, and emerging technologies to continuously enhance the Endur product offering., • Work with development teams to ensure timely and high-quality delivery of Endur enhancements and new features., • Conduct user testing, feedback sessions, and data analysis to measure the success of Endur implementations and identify areas for improvement., • Provide training and support to end users to maximize the adoption and effectiveness of Endur solutions., • 5+ years of experience in product management, with a focus on Endur or other energy trading and risk management (ETRM) platforms., • Strong understanding of commodity trading, risk management, and the end-to-end trading lifecycle., • Proven experience in defining and delivering complex software solutions, with a preference for experience in Endur., • Ability to work with both business and technical teams, translating business needs into technical requirements., • Strong analytical and problem-solving skills, with a data-driven approach to decision-making., • Excellent communication and stakeholder management skills, with the ability to influence and drive consensus across teams., • Experience with agile methodologies, including writing user stories, managing backlogs, and working with development teams., • Knowledge of SQL, data analysis, and reporting tools to support product decision-making., • Experience with Openlink Endur or other ETRM platforms., • Knowledge of energy and commodities trading regulations and market structures., • Certification in product management (e.g., CSPO, Pragmatic Institute) or relevant domain certifications., • Experience with cloud-based solutions and modern software development practices. Additional Information, • Wellness program and employee assistance., • Generous paid leave and holidays., • Comprehensive health benefits for you and your family., • Flexibility to support work-life balance., • Competitive compensation and benefits package., • Access to ongoing learning and development opportunities.

Our supply chain team is a global operation, responsible for getting products from farms and factories to our customers. Your new role could be analytical, ops or project-based. You could be just the right applicant for this job Read all associated information and make sure to apply. Salary: £26,000 pro rata Programme start date: 15 June 2026 Articulate and share data with stakeholders to help make decisions, tools include Excel, PowerPoint, and Tableau Work with suppliers to drive benefits and optimisations throughout the supply chain. This section is here to help you get a feel for what each scheme is about and what might suit you best. Don't worry if you don't have all the skills listed - we don't expect you to. We're looking for potential, curiosity, and a willingness to learn. We'll support you to build the rest. An interest in how things work - from idea to delivery - is really useful A curious mind and enjoying seeing a plan come together is something we value You might work with data to help inform decisions, but experience isn't essential. You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we're all those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone's welcome. That's why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. Working at our Welwyn Garden City campus Our leafy, green campus is just 10 minutes' walk from the centre of Welwyn Garden City with its many shops, restaurants, pubs and sports facilities. Close to the A1, and with frequent trains running to Finsbury Park in just 20 minutes (free shuttle buses take you between the station and office), the campus is well connected to the surrounding area. On campus, you'll find subsidised restaurants and coffee shops, as well as a Tesco Express to pick up your lunch or last-minute essentials. xrnqpay You can join the on-site Nuffield Health gym, which has state-of-the-art fitness equipment, two studios for group classes, plus treatment rooms (membership costs £23.50 per month).

A global sports brand in the UK is seeking a Senior Management Accountant to manage purchase variances and financial reporting.The role requires a Bachelor's degree in Finance and post-qualification experience in accounting.Key responsibilities include monthly reconciliations, variance analysis, and

New Balance is more than just a sportswear brand – we are a family.

New Balance is committed to equality of opportunity for all current and prospective associates regardless of age, disability, race, religion or belief, gender, sexual orientation, pregnancy and maternity, marriage and civil partnership and gender reassignment. Since 1906, New Balance has empowered p

New Balance is more than just a sportswear brand – we are a family.

New Balance is more than just a sportswear brand – we are a family. New Balance is committed to equality of opportunity for all current and prospective associates regardless of age, disability, race, religion or belief, gender, sexual orientation, pregnancy and maternity, marriage and civil partne

A leading sportswear brand in the Cherwell District is seeking retail associates who can engage, excite, educate, and entertain customers.Role responsibilities include achieving KPIs and ensuring customer satisfaction throughout the shopping journey.Ideal candidates will be team players with strong

New Balance is more than just a sportswear brand – we are a family.

A growing sportswear brand in Greater London is seeking a Retail Associate to engage with customers and provide outstanding service.The successful candidate will help achieve store performance goals and maintain a welcoming atmosphere.Essential qualifications include customer service skills and a pa

A leading sportswear brand is seeking a retail manager in Cherwell District, UK.The role involves motivating a team to achieve sales targets, managing operational processes, and ensuring customer satisfaction.Strong leadership and retail experience are required.The position offers competitive compen

A leading sportswear brand in Greater London is looking for a full-time Retail Associate to enhance customer experience on Oxford Street.In this entry-level role, you will engage with customers, help achieve store KPIs, and maintain a welcoming retail environment.The ideal candidate is a team player