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Join the RAC as a Mobile Mechanic – Boost Contract Be part of the team that keeps the UK moving. As an RAC Mobile Mechanic on our Boost Contract, you’ll benefit from our highest guaranteed salary and industry-leading support. What you’ll get: • Top-tier pay, guaranteed – A base salary of £55,625 (inclusive of London Weighting Allowance), rising to £61,625 with performance bonuses., • A career with purpose – Our 4.7 “Excellent” Trustpilot rating shows how much customers value what we do. You’ll be the one delivering that trusted service., • The tools to succeed – Your own fully equipped RAC van, fuel card, uniform, essential tools, and diagnostic kit from day one. Why the Boost Contract? The Boost Contract is designed to reward your time, talent, and commitment. With guaranteed top-level pay, transparent scheduling, and bonus earning potential, it gives you financial security plus recognition for going the extra mile. The RAC has been a trusted name for drivers for over 128 years, combining heritage with innovation. No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic on our Boost contract at RAC, you’ll get benefits that go the extra mile • Strong base salary - £55,625 per year, with the opportunity to earn an additional £6,000 through performance-related bonuses, taking total earnings up to £61,625., • Share in our success – Join our colleague share scheme for free to benefit from the future growth of the business, • Free RAC Ultimate breakdown cover – From your very first day., • Car salary sacrifice scheme – Includes electric vehicle options (after 12 months) to help you save on tax., • Generous holidays – 23 days plus bank holidays (rising to 25 with service)., • Pension & life cover – Up to 6.5% matched pension contributions and life cover up to 4x your salary (10x with flex benefits)., • Wellbeing support – 24/7 confidential support helpline for you and your family., • Level 2 Light Vehicle Maintenance qualification (or equivalent), • At least 3 years fully qualified, hands-on experience as a vehicle technician on light vehicles, • A full UK driving licence with fewer than 6 points, • Flexibility to work at relatively short notice and open to travel with overnight stays, if necessary You'll thrive on variety - whether it's diagnostics, repairs, servicing, or vehicle checks – you'll be trusted to make quick, informed decisions on the road. With every job, you'll take pride in delivering top-quality work and the complete peace of mind our customers expect from the RAC. Why RAC? For more than 128 years, we’ve been keeping drivers moving, and today we’re trusted by over 15 million members. We’re also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand. We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we’ll be with you every step of the way to help you grow and develop your career.

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 £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 as a Mobile Mechanic – Boost Contract Be part of the team that keeps the UK moving. As an RAC Mobile Mechanic on our Boost Contract, you’ll benefit from our highest guaranteed salary and industry-leading support. What you’ll get: • Top-tier pay, guaranteed – A base salary of £55,625 (inclusive of London Weighting Allowance), rising to £61,625 with performance bonuses., • A career with purpose – Our 4.7 “Excellent” Trustpilot rating shows how much customers value what we do. You’ll be the one delivering that trusted service., • The tools to succeed – Your own fully equipped RAC van, fuel card, uniform, essential tools, and diagnostic kit from day one. Why the Boost Contract? The Boost Contract is designed to reward your time, talent, and commitment. With guaranteed top-level pay, transparent scheduling, and bonus earning potential, it gives you financial security plus recognition for going the extra mile. The RAC has been a trusted name for drivers for over 128 years, combining heritage with innovation. No CV required when you apply – it's easier than ever to start your journey with us. As a Mobile Mechanic on our Boost contract at RAC, you’ll get benefits that go the extra mile • Strong base salary - £55,625 per year, with the opportunity to earn an additional £6,000 through performance-related bonuses, taking total earnings up to £61,625., • Share in our success – Join our colleague share scheme for free to benefit from the future growth of the business, • Free RAC Ultimate breakdown cover – From your very first day., • Car salary sacrifice scheme – Includes electric vehicle options (after 12 months) to help you save on tax., • Generous holidays – 23 days plus bank holidays (rising to 25 with service)., • Pension & life cover – Up to 6.5% matched pension contributions and life cover up to 4x your salary (10x with flex benefits)., • Wellbeing support – 24/7 confidential support helpline for you and your family., • Level 2 Light Vehicle Maintenance qualification (or equivalent), • At least 3 years fully qualified, hands-on experience as a vehicle technician on light vehicles, • A full UK driving licence with fewer than 6 points, • Flexibility to work at relatively short notice and open to travel with overnight stays, if necessary You'll thrive on variety - whether it's diagnostics, repairs, servicing, or vehicle checks – you'll be trusted to make quick, informed decisions on the road. With every job, you'll take pride in delivering top-quality work and the complete peace of mind our customers expect from the RAC. Why RAC? For more than 128 years, we’ve been keeping drivers moving, and today we’re trusted by over 15 million members. We’re also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand. We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we’ll be with you every step of the way to help you grow and develop your career.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Material Movement Operator, Sidcup Closing date: 30th December What you become part of: Sidcup Operations plays a pivotal role within the CCEP network, producing around 50% of the GB SKU portfolio. The site offers a one stop shop to the GB Market with a range of packages that are single sourced from Sidcup, such as the wide portfolio range of small cans. Across their 7 manufacturing lines the site can produce 480,000 cans every hour, 96,000 PET bottles every hour and 48,000 Glass bottles. There are currently around 300 employees across Manufacturing, QESH and Engineering, experience here can lead to excellent career opportunities both in Sidcup and further afield across other GB sites and Pan-European locations. About the Role As an Operator you’ll play a key part in keeping our manufacturing operations running smoothly. Working across different areas, including Goods In, Process, and Manufacturing, you’ll help move materials safely, operate machinery, complete basic maintenance and hygiene tasks, and support quality, safety, and environmental standards. This is an entry level role, so full training will be provided. You’ll gain valuable hands on experience in a fast-paced production environment, working as part of a supportive team that focuses on safety, efficiency, and continuous improvement. Key Responsibilities: • Safely move, load, and unload materials and finished goods., • Ensure materials are stored, issued, and returned correctly., • Operate equipment safely, supporting start-up, changeover, and shutdown activities., • Monitor production lines and report any issues or faults promptly., • Carry out routine cleaning and basic maintenance to keep equipment and areas in good condition., • Complete quality and safety checks in line with site standards., • Follow all health, safety, and environmental procedures., • Work collaboratively with the team to meet daily targets and maintain high standards., • Contribute ideas to improve processes, safety, and efficiency. What We’re Looking For This role is ideal for someone who is reliable, proactive, and eager to learn. You’ll receive full training, so previous experience isn’t required, just a positive attitude and a commitment to working safely and effectively as part of a team. Nice to Have: • Ability to conduct basic maintenance, fault-finding, or troubleshooting., • Strong teamwork, communication, and problem-solving skills., • Comfortable working in a fast-paced production environment., • Experience in food, beverage, or FMCG manufacturing (helpful but not essential)., • Interest in continuous improvement or lean manufacturing principles. Coca-Cola Europacific Partners (CCEP) is a major fast-moving consumer goods business and the world’s largest independent Coca-Cola bottler. We’re a dedicated team of 33,200 people, serving 2 million customers in 29 countries. We make, sell and distribute the world’s most loved drinks brands - including Coca-Cola®, Fanta®, Sprite®, Costa Coffee® and Monster®. We’ve also expanded into alcohol with ready to drink Jack Daniel’s and Coca-Cola. We want a workforce that is as diverse as our products – with a culture that fosters belonging and inclusivity. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to speak to an insider. We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to speak to an insider We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

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.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

ABOUT THE ROLE As a Bank Care Assistant at a Barchester care home, you'll help residents enjoy each day by making sure they get the quality care and support they deserve. You'll assist with daily living, providing support and companionship and sharing great moments and memories too. It's a chance to bring your dedication and compassion to a fulfilling environment. Every day will be different, so you can expect to undertake work that's as varied as it is rewarding. As a Bank Care Assistant, you could be doing anything from supporting residents with their food and drink and following care plans to ensuring that each of our residents has one-to-one time. It's an opportunity to put your skills to meaningful use and develop your career. ABOUT YOU To join us as a Bank Care Assistant you'll need to have some experience of caring for older people, a can-do approach and excellent communication skills. Your empathy and warm-hearted approach will shine through, but above all, you'll have the compassion needed to deliver the highest standard of care and support for all our residents. In return we'll provide all the training you need to thrive. REWARDS PACKAGE As well as competitive pay, you can look forward to a role that offers true flexibility and plenty of free learning and development opportunities. As one of the UK's leading healthcare providers, we take the growth of everyone who works for us seriously. As this is a Bank position to provide cover as and when we need it, such as for annual leave or sick leave, the hours and days you work will vary. If you'd like to use your people skills in an organisation that provides the quality care you'd expect for your loved ones, this is a rewarding place to be.

Join one of the industry leaders in comprehensive fire safety with the opportunities to start with a company van, fuel card, and all essential tools from day one.As a Fire Door Joiner, you'll work across well-maintained domestic properties, becoming part of a reliable team with consistent work and e

OTE £45,000- £55,000) Van + Fuel Card + Stay Away Expensed + Pension + Holidays + Good Reputation + Stability + January Start.Are you an electrician looking for a role where you'll be genuinely supported and valued from day one? Join a stable, growing company with a consistent workload.This is you

Pabulum Catering are now recruiting for a Executive Chef Manager to help us deliver exceptional food experiences to our children at Blackfen School for Girls. You will have a close relationship with the school and be responsible for a well-established kitchen, dedicated to providing the best for all children. As a Executive Chef Manager, you will be working in a passionate and hard-working team to create an outstanding experience for our school. In return we offer an excellent work life balance, support and a fantastic company culture for a business committed to providing healthy food to children. At Pabulum, you’re important; without our employees we wouldn’t be where we are today with such a strong, innovative, and constantly growing business. With over 120 sites across Southern England there’s plenty of opportunity for you to grow, learn and develop. Your key responsibilities will include: • Preparing our delicious food, • Managing the main aspects of the kitchens including including Health & Safety and Training & Development, and you'll have the Unit Bookwork to keep up to date, • Receiving and managing food deliveries and managing storage, • Have proven work experience as an Executive Chef / Chef Manager in a busy secondary school or similar, • Be responsible for planning and preparation of daily menus, • Be passionate about food and providing great customer service, • Manage kitchen staff to maintain high standards, • Have experience in managing supplier ordering and weekly stock taking, • Adhere to recipes, plate presentation and cooking standards, • Need to train kitchen staff on preparation methods, portion sizes, and presentation standards, • Control budget and minimise wastage, • Ensure kitchen operations meet health and safety standards, • Monitor the quality of products and services provided, • Resolve customer queries promptly and professionally, • Have an understanding of various cooking methods, ingredients, equipment, and procedures, • Have an excellent record of kitchen management, • Be able to spot and resolve problems efficiently, • £40,000 per annum, • 40 hours a week, • Monday to Friday, • Excellent work/life balance due to term time only contract (44 weeks per year), • Holiday pay, • NEST pension scheme, • Comprehensive Employee Assist Programme, • Consistent training and development, • The food – Here at Pabulum, we take our values so seriously that we put Education, Passion, Sensation, and Innovation forefront of everything we do. 94% of our food is freshly prepared on site every day, using 75% British produce and little or no frozen or processed foods., • The people - Happy customers always come back for more, so we expect you to ensure they have an excellent customer experience. Interested in becoming part of the Pabulum family? Please apply online. About Us As part of Compass you'll help to feed people, fuel progress and forge connections in around 6,000 venues. Join us to grow your career with the industry leader, and get competitive pay, great perks and unrivalled opportunities for learning and development, at one of the UK's biggest businesses. Job Reference: com/0801/42284001/52783706/SU #Pabulum Compass Group UK&I is committed to fostering an environment where every individual can truly be themselves at work and has equal opportunities to advance in their careers. We strive to build a culture that respects and celebrates the unique talents, beliefs, backgrounds, and abilities of all our team members. We want our colleagues to feel valued, empowered to reach their full potential, and to thrive - because diversity is our strength!

Engineering Manager If you are interested in working on a small site that gives you a hands on, varied leadership role, this could be the perfect next opportunity for your career. With a number of exciting business wide initiatives from new product introductions and operational increases, through to expansions and new site launches, this leading pharmaceutical business is in a very exciting period of growth and transition. This specific hire is for their site in South London / North Surrey and will take full accountability for a small team and be responsible for maintenance, servicing and take a strong involvement in engineering projects. To take on this role you do not needto be an engineering veteran – it’s a two person team and therefore the key is that you can get stuck in and are willing to take on a number of the duties directly on a day to day basis. Full training will be provided in the pharmaceutical equipment and processes. The standard hours are 7am to 3pm Mon-Fri – but you need to be flexible as there will be call outs (including nights and weekends). Overtime/TOIL is available. For further information please contact Mark Bux-Ryan. Key experience: • Minimum of 2 years hands on experience in a hands on engineering / maintenance setting – must be within manufacturing., • Pharmaceutical and/or GMP experience would be a nice to have but is not essential, • Supervisory experience ideal but not essential if you have the depth of technical experience and the capability to manage, • Must live (or be willing to live) within one hour of the facility due to call out requirements, • Mechanical and electrical engineering capability would be beneficial Engineer, maintenance, service, field, site, mechanical, electrical, CQV, validation, project, team, leader, supervisor, senior, engineering, manufacturing, chemical, food, pharma, GMP

His Majesty’s Prison and Probation Service. An extraordinary job. Done by someone like you. Prison officer opportunities HMP Long Lartin £33,746 - £38,003 Prison officers protect the public and help to make a positive impact on people’s lives. If you have the integrity, skills and strength of character we’re looking for, this fast-paced role could be the start of a successful career. No two days or situations are ever the same. And, as you gain experience, you’ll find a range of opportunities to grow and develop into. Someone like you There’s no such thing as a typical prison officer. Our people come from different walks of life, just like the offenders they work with. Whether you’re a parent, a teacher, have worked in retail or the armed forces, you’ll have developed the empathy, self-confidence and great communication skills we expect. No matter the challenge, you’ll take the time to build constructive, positive and professional relationships with offenders who could be at the lowest point in their lives. Teamwork plays a vital role in this environment, so you’ll need to be fully committed to supporting your colleagues and understand the importance of acting as one team to keep the prison, offenders and everyone who works here safe. You will be required to work various shifts and weekends. An extraordinary job In this unique career, you’ll have the opportunity to carry out many different roles in any one day. One minute you’re a peacekeeper, the next you’re a counsellor or a teacher. You’ll work directly with prisoners in a unique environment, helping to protect the public and make a positive impact. What you can expect from us You’ll be given great training and opportunities for progression and development - including the chance to specialise in different areas. There’s a good salary to look forward to, as well as 25 days’ holiday allowance each year, childcare vouchers, season ticket loans, retail discounts, Employee Assistance Programme and Cycle to Work scheme. The rewards aren’t all you’ll gain from a role in the prison service. There’s the sense of achievement you feel when you’ve helped an offender to get their life back on track - the kind of experience you simply won’t find anywhere else. How to apply If the qualities in this role sound like you, apply now.

You’ve enjoyed your day, and now it’s time for your shift as a\nField Market Research Interviewer! You’re heading out for a scheduled\n6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked\nfor the week, consisting of weekdays and weekends between the hours

Counterbalance and Reach Truck Operator Sidcup, Kent.Shift Work -Day & Night Shifts (06:0018:00 &18:0006:00).Join one of the worlds most iconic beverage brands! Were looking for experienced, reliable, and safety-focused forklift operators to join our clients manufacturing team in Sidcup.Safely opera

Responsible Individual (Children’s Residential Services) Location: Croydon (covering homes in Wimbledon, Sutton, Wallington & one new home) Salary: £70,000+ per annum (depending on experience) Contract: Full-time, Permanent Working Pattern: 4 days on-site (1 day per home) & 1 day remote

• Business: emap, • Brands: Mortgage Strategy, • Base Location: Croydon, London, • Employment Type: Full-time, Permanent, Hybrid – 3 days in the office, • Salary: £35,000+ 30% Bonus Overall Purpose of the Role: The job holder will be required to drive and grow digital and print advertising, sponsorship and content marketing revenues within the Indigo division of emap across Mortgage Strategy’s publishing propositions. Key Responsibilities: • Develop new business accounts while managing existing accounts to achieve sales targets and drive yield., • Prospect for and qualify potential clients, and close sales., • Co-ordinate with sales colleagues, editorial teams, events teams, production teams, sales support teams and ADOPs to ensure timely and accurate delivery of commercial elements., • Diligent management of emap’s CRM system (Elan)., • Co-ordinate and provide post-sale feedback to clients., • Travel and conduct face-to-face sales presentations with new and existing clients. Skills and Experience: • Demonstrate exceptional daily sales drive, in-depth knowledge of ROS and ROP advertising formats, and strong commercial acumen., • Demonstrate experience with clients and agencies, and/or event sponsorship sales., • A proven record in defining and delivering high-value content marketing packages in the B2B sector., • Ability to identify opportunities and develop new initiatives and sales assets., • Extensive knowledge of Microsoft Office. Core Competencies: • A good understanding of business requirements and the client’s needs., • Awareness of the company’s reputation, and of its commercial and legal position within the context of advertising, sponsorship and content marketing., • Consistently demonstrate an effective and resourceful solution-led approach to obstacles., • Achieve and exceed targets, and consistently deliver exceptional results., • Work collaboratively with multi-platform teams., • Show good judgement and negotiating skills when dealing with clients and their agencies. Personal Attributes: • Effectively communicate and build positive relationships at all levels, both internally and externally., • Demonstrate a daily focus and an enthusiastic approach to work., • Display excellent presenting skills., • Demonstrate exceptional planning, organisational and time management skills. Work well under pressure and to tight deadlines. What we offer Learning & Development: At emap, we believe that employee learning and development are the key drivers of our success. To ensure continuous growth and meet the ever-changing demands of the workplace, we provide an environment that fosters continuous development for our employees. Our employees are encouraged to identify their areas of personal and professional development aligned with our strategic areas, including management development, health, safety & wellbeing, sales, event management, marketing strategy, editorial, and information technology. We have a structured framework designed to help equip our employees with the necessary knowledge, skills, and behaviours to excel in their job roles, contributing to achieving our organisational objectives. To support our employees’ career development, we have designed specialised programs, as well as other stand-alone role-specific and generic courses, under the emap academy. Benefits: emap is part of Metropolis Group. Together we are committed to providing a happy and healthy place to work, so we offer fantastic benefits and perks to our employees. • 25 days of annual leave, with the option to buy or sell additional days., • One additional day of annual leave per year- Celebration Day., • Health plan, • Life assurance, • Private virtual GP access, • Seasonal flu jabs available at the office., • Continuous learning & development opportunities., • In-house Excellence Awards and other innovation projects., • Cycle-to-work scheme, • Discounted gym memberships, • Retail discount vouchers, • Rail season ticket loans, • Pension scheme, • One paid volunteer day per year, • Annual Summer & Winter Celebrations, • Work from home during August, • Income protection and more Privacy: Metropolis Group respects the privacy of every person for whom we have personal data. We comply with data protection legislation such as the Data Protection Act 1998 and the General Data Protection Regulation which regulates the processing of data and ensures that your data is processed fairly and lawfully, is kept secure and only that data necessary for any processing is kept. You can see our privacy policy at . Diversity and Inclusion: We are an equal opportunity employer and value diversity and inclusion. All applicants will be considered for employment without attention to race, age, religion or belief, pregnancy and maternity, marriage and civil partnership, sex, sexual orientation, gender identity, national origin, or disability status. How to apply: Please submit your CV and covering letter. Due to the volume of applications, we receive, we are unable to give individual feedback at the application stage, however if you are successfully shortlisted, you will be contacted within 10 working days of your application.

Position – Senior Commercial Renewals Account Executive Location – Orpington Kent Salary – Negotiable plus benefits Overview We are currently looking for a Senior Commercial Renewals Account Executive to join our professional and welcoming team in Orpington. Brown & Brown in Orpington offer high quality, specialist insurance products to Personal and Commercial clients throughout the UK. We have sustained one of the highest customer satisfaction and retention rates within the industry by focusing on the precise needs of our clients. The position of Commercial Renewals Account Executive will suit someone with a Broker / Insurer background with a wide range of Commercial product knowledge and experience and a proven track record of achieving targets and managing existing book of clients. Working alongside like minded and experienced insurance brokers this is a long term opportunity with a ‘forever company’ that will provide career progression and security. Day to day • Converting renewal business in line with or in excess of company targets, • Preparing market presentations for renewal reports Liaising with insurers and clients pre and post sale of renewals, • Checking covers, warranties, endorsements to ensure that they are correct and in line with quotations provided, • Mid term adjustments, • Incoming and outbound call handling, • Corresponding and communicating with clients and insurance companies, • Cross selling other products, • Maintaining day to day compliance procedures for FCA regulation Effectively managing individual diary, • Managing personal work workflow effectively and efficiently, • Maintaining a complete and comprehensive training record Sharing ideas or suggestions for business improvement with management, • Advising manager of any backlog in work in a timely manner, • Advising manager of any debt recovery problems or contentious issues in a timely manner What’s on offer • Negotiable Salary, • Comprehensive benefits package (pension etc), • Performance Bonus, • Professional Qualifications such as CII, • 9am to 5pm Mon-Friday Your Experience • Minimum 3 years Commercial Insurance broking experience is essential, • Strong negotiation skills, • Effective communication, both written and verbal, • Ability to work alone and as part of a team, • High attention to detail, • Form and develop strong insurer and client relationships, • Time management and organisational skills, • Customer service

Customer Sales Advisor Welcome! (No Experience Required) – Central London IMMEDIATE STARTS AVAILABLE (Full-Time Equivalent) Fed up with your current role and ready to grow with a driven, fast-moving team? Start a fresh career in London with this exciting sales opportunity, offering hands-on experience, full training, and clear progression within a thriving sales environment. Our client, based in Central London, is one of the UK’s leading Sales, Customer Service, and Marketing companies, with associated offices both nationally and internationally. They believe their people are the key to their success and are therefore looking for motivated individuals who are keen to learn sales and customer service skills while working in a high-energy, results-focused environment. This opportunity involves representing well-known brands through face-to-face event campaigns across London. Operating on a self-employed basis, successful applicants are rewarded through a day rate plus commission structure, alongside additional incentives, meaning earnings reflect both performance and consistency. What`s on offer in sales, customer service and marketing with this company? • Clear opportunities for career progression based on performance, • Recognition and rewards for hard work and results, • National and international travel opportunities, • Day rate plus commission earnings, with additional incentives and bonuses, • Friendly, social team environment with a strong company culture, • One-to-one coaching in sales, customer service, and marketing, • Immediate starts available What’s Required? • Strong communication skills and a confident approach, • Self-motivation and a solid work ethic, • Professional personal presentation, • Ability to work well as part of a team, • Full-time equivalent availability (4/5 full working days per week), • Willingness to learn and develop sales and customer service skills Previous experience is not essential, as full coaching and client product training are provided. However, applicants with backgrounds in sales, customer service, retail, marketing, hospitality, catering, call centres, field sales, events, or other customer-facing roles are encouraged to apply. If you’re looking to become part of a successful, passionate team within a vibrant company and feel this opportunity suits you, please click APPLY and submit your CV. Successful candidates will be contacted directly by telephone. This role is not suitable for candidates still in education (school/College/University), due to availability, our client is seeking candidates that can work 4/5 full days per week. *Please note that by applying to this advert, you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

Graduate Electrical Engineer - Building Services Consultancy Croydon | Excellent Training | Hybrid Working | Career Progression I'm working with a well-established building services consultancy that delivers sustainable, practical design solutions across commercial, education, healthcare, and mixed-use projects. With a strong reputation in the industry, they're now looking to bring in a Graduate Electrical Engineer to support their growing team. This is an ideal opportunity if you're starting your career in building services and want to be part of a company that invests heavily in professional development while giving you exposure to a wide variety of projects. Why join them? • Competitive salary and benefits package, • 24 days holiday (plus bank holidays), with office closure over Christmas, • 5% employee / 3% employer pension contributions, • 37.5-hour working week, • Hybrid working (typically 3 days in the office once you're established), • Support with training, mentoring, and professional development towards chartership, • Exposure to diverse, interesting projects across multiple sectors (excluding high-end residential), • Supporting the design of electrical systems for buildings (e.g. lighting, power, distribution), • Assisting with drawings, calculations, and project documentation, • Learning to use industry design software (such as Amtech, Revit, and BIM), • Attending meetings and supporting site visits with senior colleagues, • A degree in Electrical Engineering (or a related subject), • An interest in building services and sustainable design, • Eagerness to learn, with a proactive and positive attitude Apply now!! Aldwych Consulting values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Entry Level Sales Representative (FULL Training Provided) Immediate Starts Available – Croydon Are you seeking a new career opportunity? Want to break into a new field with no prior experience? Our client can give you the valuable experience you need. Located in Croydon, our client's sales and marketing company is well-established, successful, and continuously growing. As a result, they are looking to expand their team to work on ongoing residential and event campaigns on a daily basis. This sales and customer service role will include the following aspects: • Customer service, • Sales, • Marketing and promotions, • Face-to-face field sales, • Teamwork Requirements for this sales and customer service role include: • A confident, outgoing, and approachable personality, • Willingness to learn, develop, and progress, • Strong English communication skills, both verbal and written, • Availability to commit to a full-time equivalent schedule (4–5 days per week); this role is not suitable for students, including international students Benefits & Perks of the Role: • Full product and sales coaching provided from day one, making this role accessible with no prior experience., • Clear opportunities for progression, with top performers recognised and fast-tracked., • Exciting incentives and rewards for consistent performance, including bonuses, prizes, and team recognition., • Travel opportunities with the chance to work alongside the wider team in new locations., • A supportive, team-focused environment that celebrates wins and pushes you to succeed., • Immediate start available – begin building momentum from day one. If you would like to kick-start your career in sales, marketing, or customer service, apply online by clicking the ‘Apply’ button and completing the application process. Please ensure your CV and contact details are up to date so the recruitment team can contact you promptly. No experience is required for this full-time equivalent, self-employed, sub-contracted opportunity, as full sales coaching and training are provided. This is a commission-based role where earnings are uncapped giving you the full potential to thrive! Candidates with backgrounds in customer service, retail, hospitality, bar work, call centres, sales, marketing, field sales, promotions, or other customer-facing roles are encouraged to apply. The role is based in Croydon. This role is not suitable for candidates still in education (school/College/University), due to availability, our client is seeking candidates that can work 4/5 full days per week. *Please note, by applying to this advert, you acknowledge our privacy policy applies and give consent for Blackwater Recruitment to share the data you provide with our client so that they may contact you regarding the role or any other role they deem you suitable for. For more information, please see our website before applying.

We’re ambitious and we’re looking to build and strengthen our wonderful team as the business continues to grow. An exciting opportunity has arisen for a Wholesale Account Manager. This role is full time with 3 days in person based in SW19 2JD at our ministry of Biscuits. It requires the correct right to work in the UK. Join the magic at Biscuiteers! We’re the award-winning luxury gifting brand known as the NET-A-PORTER of biscuits. Since 2007, we’ve been hand-icing joy into every biscuit, and in 2025 alone, we iced approximately 3 million! Our aim is to provide a seamless, joyful experience that delivers a little magic, one hand-iced biscuit at a time. As well as our eCommerce business, we have a Notting Hill biscuit boutique, where we offer ‘School of Icing’ events, teaching our customers to ice like an expert, while they enjoy a cup of tea or coffee…or even a glass of Prosecco. We also work with a huge range of wholesale and corporate clients, creating bespoke and branded designs for every occasion. We are guided by our four core values ; Innovative, Collaborative, Entrepreneurial, and Driven . These values live through the creativity of our products , the way we work together, the focus on results attitude and the energy and positivity with which we approach all we do . Reporting to the Head of Channel Expansion, the Wholesale Account Manager will play a key role in supporting the delivery of Biscuiteers’ wholesale growth strategy contributing on key accounts as well as managing a broader portfolio of wholesale partners, ensuring strong commercial performance, excellent relationships, and smooth day-to-day execution across the channel. What you’ll do… Wholesale Account Management • Manage and grow a diverse portfolio of wholesale accounts across retail, gifting, cultural spaces, hotels, and regional partners., • Support Head of Channel Expansion on strategic accounts, including preparation, analysis, and follow-up., • Drive sales performance, distribution, and rate of sale across accounts., • Identify and onboard new wholesale partners aligned with brand growth objectives., • Build strong relationships with buyers and key stakeholders. Sales Planning & Reporting • Execute wholesale sales strategy and identify new volume/distribution opportunities., • Contribute to UK and regional expansion through targeted account development., • Produce weekly/monthly sales reports, forecasts, and performance analysis. Operations & Cross-Functional Collaboration • Partner with NPD on bespoke designs and client-specific projects to meet commercial targets., • Liaise with Production, NPD, and Finance to ensure smooth delivery and resolve operational issues., • Participate in monthly and quarterly cross-functional reviews. Marketing & Trade Events • Present and promote new products to wholesale partners., • Support marketing activations and trade initiatives within wholesale channels., • Collaborate with Marketing on social content, collateral, and events., • Provide account information to Marketing for opportunity identification., • Project manage wholesale trade events (e.g., Top Drawer) from planning to post-event follow-up. Relationship & Channel Development • Work with buyers to drive distribution, visibility, and rate of sale., • Support merchandising in-store and online., • Conduct regular account meetings and quarterly partner visits., • Represent the brand at networking events and trade shows. What you’ll bring… • A minimum of 1 years experience in a Wholesale or Account Management role, with a proven track record of account growth., • Strong commercial and organisational skills, with the ability to manage multiple accounts and projects simultaneously., • Experience working cross-functionally with Marketing, Production or NPD teams., • Excellent communication and relationship-building skills., • Ability to work at pace and under pressure, with strong attention to detail., • A proactive, flexible approach and a natural problem solver., • Enthusiasm for the Biscuiteers brand and the wholesale channel. Why you’ll love it here… We’re a creative, fun-loving bunch who work hard, celebrate big, and genuinely care about each other and the planet. Here’s how we sweeten your working day: • Shopping – 35% staff discount on all our beautiful products, • Food – Daily breakfast provided to keep you fuelled, • Travel – Cycle to Work Scheme available, • Bring your friends – Staff referral scheme with up to £500 reward, • Birthday treats – A gift to celebrate your special day, • Social life – Annual staff party, Christmas lunch, and Biscuiteer Awards, • The Future – Automatic pension contributions with ethical fund options What our team says about us… “The business is at a really exciting juncture and there’s lots to get your teeth stuck into and lots of opportunity to develop.” “A good place to learn in a fun, energetic environment with a knowledgeable and passionate team.” “There are lots of great people within the business and collaboration happens cross departments.” “I love being part of a team where everyone I work alongside is deeply committed and genuinely enthusiastic about what they do.”

Responsible Individual (Children’s Residential Services) Location: Croydon (covering homes in Wimbledon, Sutton, Wallington & one new home) Salary: £70,000+ per annum (depending on experience) Contract: Full-time, Permanent Working Pattern: 4 days on-site (1 day per home) & 1 day remote

Job Description: Lead Mechanical Operator Mars Snacking | Slough 📍 Shape the Future with Mars! 🌍 This is an exciting opportunity to join the Mars Wrigley factory in Slough. We are seeking Mechanical minded individuals who hold a passion for maintenance. Whether your experience is maintenance of ships, cars, tanks, lifts, generators, or similar mechanical industries, your practical mechanical experience is key to success. What You'll Do 🔧 • Lead & Inspire: Oversee maintenance and repair of production machinery, • Diagnose & Solve: Tackle mechanical issues with precision and expertise, • Collaborate: Guide a small team to achieve production targets, • Innovate: Drive continuous improvement in our processes What We're Looking For ✅ • At least 1 years' experience in manufacturing and team coordination, • Strong troubleshooting and diagnostic skills, • Detail-oriented approach to machinery maintenance, • Commitment to teamwork and ongoing improvement Your Mars Benefits ⭐ • Competitive Salary: £40,000-£48,000 (including shift allowance), • Welcome Bonus: £2,000 paid in your first week, • Performance Bonus & Exceptional Benefits, • Career Growth: Structured development & Mars University, • Private Healthcare & Equal Parental Leave, • Onsite Nurse, Osteopath, Podiatrist, • Hot Food Restaurant & Free Parking, • Generous Pension (up to 9%), • Life Assurance (4x salary), • EV Salary Sacrifice Scheme, • Gym Membership & Wellbeing Support, • Annual Leave: 24 days, rising to 32 with service Shift Pattern ⏱️ • 12-hour shifts, 4 days on / 4 days off (2 days, 2 nights, 4 off) What can you expect from Mars? 🚀 • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles., • Join a purpose driven company, where we're striving to build the world we want tomorrow, today., • Best-in-class learning and development support from day one, including access to our in-house Mars University., • An industry competitive salary and benefits package, including company bonus Ready to make an impact? Join Mars and build your future with us. Mars. Tomorrow starts today.

SEND Learning Support Assistant - Bromley.Type: Secondary mainstream school.Working Hours: 08:30 am - 16:00 pm.Salary: £95 - £100 per day (PAYE or Umbrella available).Are you passionate about making a meaningful difference in the lives of young people with disabilities? One of our partner schools

Job Description: Lead Mechanical Operator Mars Snacking | Slough 📍 Shape the Future with Mars! 🌍 This is an exciting opportunity to join the Mars Wrigley factory in Slough. We are seeking Mechanical minded individuals who hold a passion for maintenance. Whether your experience is maintenance of ships, cars, tanks, lifts, generators, or similar mechanical industries, your practical mechanical experience is key to success. What You'll Do 🔧 • Lead & Inspire: Oversee maintenance and repair of production machinery, • Diagnose & Solve: Tackle mechanical issues with precision and expertise, • Collaborate: Guide a small team to achieve production targets, • Innovate: Drive continuous improvement in our processes What We're Looking For ✅ • At least 1 years' experience in manufacturing and team coordination, • Strong troubleshooting and diagnostic skills, • Detail-oriented approach to machinery maintenance, • Commitment to teamwork and ongoing improvement Your Mars Benefits ⭐ • Competitive Salary: £40,000-£48,000 (including shift allowance), • Welcome Bonus: £2,000 paid in your first week, • Performance Bonus & Exceptional Benefits, • Career Growth: Structured development & Mars University, • Private Healthcare & Equal Parental Leave, • Onsite Nurse, Osteopath, Podiatrist, • Hot Food Restaurant & Free Parking, • Generous Pension (up to 9%), • Life Assurance (4x salary), • EV Salary Sacrifice Scheme, • Gym Membership & Wellbeing Support, • Annual Leave: 24 days, rising to 32 with service Shift Pattern ⏱️ • 12-hour shifts, 4 days on / 4 days off (2 days, 2 nights, 4 off) What can you expect from Mars? 🚀 • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles., • Join a purpose driven company, where we're striving to build the world we want tomorrow, today., • Best-in-class learning and development support from day one, including access to our in-house Mars University., • An industry competitive salary and benefits package, including company bonus Ready to make an impact? Join Mars and build your future with us. Mars. Tomorrow starts today.

Job Description: Lead Mechanical Operator Mars Snacking | Slough 📍 Shape the Future with Mars! 🌍 This is an exciting opportunity to join the Mars Wrigley factory in Slough. We are seeking Mechanical minded individuals who hold a passion for maintenance. Whether your experience is maintenance of ships, cars, tanks, lifts, generators, or similar mechanical industries, your practical mechanical experience is key to success. What You'll Do 🔧 • Lead & Inspire: Oversee maintenance and repair of production machinery, • Diagnose & Solve: Tackle mechanical issues with precision and expertise, • Collaborate: Guide a small team to achieve production targets, • Innovate: Drive continuous improvement in our processes What We're Looking For ✅ • At least 1 years' experience in manufacturing and team coordination, • Strong troubleshooting and diagnostic skills, • Detail-oriented approach to machinery maintenance, • Commitment to teamwork and ongoing improvement Your Mars Benefits ⭐ • Competitive Salary: £40,000-£48,000 (including shift allowance), • Welcome Bonus: £2,000 paid in your first week, • Performance Bonus & Exceptional Benefits, • Career Growth: Structured development & Mars University, • Private Healthcare & Equal Parental Leave, • Onsite Nurse, Osteopath, Podiatrist, • Hot Food Restaurant & Free Parking, • Generous Pension (up to 9%), • Life Assurance (4x salary), • EV Salary Sacrifice Scheme, • Gym Membership & Wellbeing Support, • Annual Leave: 24 days, rising to 32 with service Shift Pattern ⏱️ • 12-hour shifts, 4 days on / 4 days off (2 days, 2 nights, 4 off) What can you expect from Mars? 🚀 • Work with over 130,000 diverse and talented Associates, all guided by the Five Principles., • Join a purpose driven company, where we're striving to build the world we want tomorrow, today., • Best-in-class learning and development support from day one, including access to our in-house Mars University., • An industry competitive salary and benefits package, including company bonus Ready to make an impact? Join Mars and build your future with us. Mars. Tomorrow starts today.

A leading marketing and events firm in the UK is looking for a Project Manager to oversee a one-day football experience.You will lead multiple campaign elements, manage client communication, and ensure successful budget management.The ideal candidate has over 5 years of experience in experiential ev

Security Officer at Securitas – Croydon.From day one, you’ll gain access to outstanding learning and development opportunities, mentorship, and a whole load of benefits from big brand discounts to give back schemes!.Where potential is seen and progress is nurtured.As a Security Officer at Securi

Our Network Engineers are responsible for optimising our fibre network for our customers, through building and commissioning our Business-to-Business services.Work towards your Level 3 Network Engineer qualification with support from day one, earning a starting salary of £27,000 whilst doing it.Mos

Harrison Catering Services is one of the UK’s leading independent catering companies, serving high-quality, freshly cooked food to thousands of people in schools and workplaces every day. We are looking for a Chef Manager to lead one of our school catering teams.