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Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £40,170, with on-target earnings of up to £52,000, • A guaranteed overtime option to increase your base salary, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £40,170, with the opportunity to increase your earnings up to £52,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔Independence in a mobile role ✔The stability and support of a trusted national organisation ✔Ongoing development, including future EV and diagnostic skills ✔A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £40,170, with on-target earnings of up to £52,000, • A guaranteed overtime option to increase your base salary, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £40,170, with the opportunity to increase your earnings up to £52,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔Independence in a mobile role ✔The stability and support of a trusted national organisation ✔Ongoing development, including future EV and diagnostic skills ✔A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £40,170, with on-target earnings of up to £52,000, • A guaranteed overtime option to increase your base salary, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £40,170, with the opportunity to increase your earnings up to £52,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔Independence in a mobile role ✔The stability and support of a trusted national organisation ✔Ongoing development, including future EV and diagnostic skills ✔A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & 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 Senior 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: 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., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & 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 Senior 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: 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., • Strong 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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & 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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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 Senior 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: 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., • Strong 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 Senior 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: 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., • Strong 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 Senior 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: 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., • Strong 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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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 Senior 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: 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., • Strong 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.

Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £45,378 (inclusive of London Weighting Allowance, if applicable), with on-target earnings of up to £57,000, • A guaranteed overtime option to increase your base salary to £44,385, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile:, • Earnings That Motivate -enjoy a market-competitive base salary of £45,370, with the opportunity to increase your earnings up to £57,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔ Independence in a mobile role ✔ The stability and support of a trusted national organisation ✔ Ongoing development, including future EV and diagnostic skills ✔ A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £45,370 (inclusive of London Weighting Allowance, if applicable), with on-target earnings of up to £57,000, • A guaranteed overtime option to increase your base salary, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £45,370, with the opportunity to increase your earnings up to £57,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔ Independence in a mobile role ✔ The stability and support of a trusted national organisation ✔ Ongoing development, including future EV and diagnostic skills ✔ A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

Join the RAC as a Mobile Vehicle Technician in our SMR Division - a new era of mobile repair. • A competitive base salary of £45,370 (inclusive of London Weighting Allowance, if applicable), with on-target earnings of up to £57,000, • A guaranteed overtime option to increase your base salary, plus additional overtime and bonus opportunities, • 40 hours per week, with core hours from 8:30 am to 5:00 pm, and 1 in 4 Saturdays. A Different Kind of RAC Role: Welcome to SMR The RAC is known for roadside rescue - but this isn’t that. Our Service, Maintenance & Repair (SMR) division is a newer, fast-growing part of the RAC, built to deliver planned, structured repair and servicing directly to members - from their driveway to their workplace car park. There are no emergency callouts, no unpredictable shift patterns and no roadside recoveries. Instead, you’ll work through a scheduled list of jobs, with the time, tools and support you need to do quality work. What to expect Your day starts with a clear digital schedule. Each job is pre‑booked, with the member expecting you. You’ll carry out: • Routine servicing, • Diagnostics using advanced mobile equipment, • In‑depth repairs you’d normally complete in a workshop, • Member advice and recommendations based on your inspection, • Vehicle safety checks aligned to RAC standards And because SMR is structured, you’re not reacting to breakdowns - you’re delivering planned work that you can prepare for. From day one, you’ll have everything you need: a fully equipped RAC van, fuel card, uniform, full tool set and advanced diagnostics. You’ll use your technical skill and problem‑solving ability to get people moving again; safely, quickly and confidently. Why SMR is different (and why techs love it) • Planned appointments instead of emergency responses, • Consistent workflow instead of unpredictable demands, • In‑depth repairs, not roadside temporary fixes, • Time to do the job properly, with support and parts ordering built in, • Clear schedules using RAC’s mobile service platform It’s the ideal role for techs who want variety and independence without the reactive nature of Patrol. What you’ll need: • Level 2 qualification in Light Vehicle Maintenance (or equivalent), • Minimum 2 years’ experience as a vehicle technician working on light vehicles, • A full UK driving licence with fewer than 6 points No CV required when you apply and it takes just 5 minutes – it's easier than ever to start your journey with us. As a Mobile Mechanic at the RAC, you’ll get benefits that go the extra mile: • Earnings That Motivate - enjoy a market-competitive base salary of £45,370, with the opportunity to increase your earnings up to £57,000 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. Who thrives here? You’re more than just great with tools - you’re great with people. Our Mobile Mechanics are the face of the RAC: working on driveways, in car parks, speaking directly with members, and providing reassurance, clarity and high-quality service. You enjoy independence, problem solving and real variety - each job is different. From servicing and diagnostics to in depth repairs and reporting, you’re hands-on, adaptable and confident making decisions on the spot. You take pride in using your technical ability to genuinely help people and keep them moving. The role is ideal if you want: ✔ Independence in a mobile role ✔ The stability and support of a trusted national organisation ✔ Ongoing development, including future EV and diagnostic skills ✔ A role where giving members complete peace of mind is simply part of what you do We’re the RAC At the RAC, we don’t stand still. With over 125 years of history and 12.5 million members, we’re on a mission to become the UK’s number one motoring services provider. Our culture reflects that ambition – backed by a 4.5-star Glassdoor rating, our people know we’re serious about career growth, recognition, and support. We celebrate individuality and champion every voice. As an equal opportunities' employer, we welcome people from all backgrounds and walks of life – it’s what sets us apart and drives us forward.

Job Title: Human Factors Integration Manager (Edgewing) Location: Reading area. The role could be contracted to any BAE Systems site (preferably Frimley) but on commencement will immediately be assigned to our Edgewing JV in the Reading area. A financial support package may be available to enable this assignment if required, dependent on certain criteria being met. Due to the nature of this assignment, we envisage there will be a need for mostly on site working, however, flexible working arrangements may be possible – please speak to your recruiter about the options for this role. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role Salary: £70,000+ (DOE) Who we are: Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you. Role Description: This role focuses on managing and supporting the Human Factors (HF) Integration Management System across all key product areas, including the Edgewing core platform, cockpit integration, and TLS HF. It involves working closely with Human Factors product leads, such as the Cockpit Integration Lead and TLS Training HFI Lead, to make sure HF is smoothly integrated and aligned with program goals. The role also includes leading and mentoring the team, helping team members grow while driving high standards and consistency in HF integration across multiple products and initiatives.. Core duties: • You’ll tailor and develop HF approaches to meet project priorities, balancing time, cost, and available resources effectively, • You’ll lead Human Factors (HF) integration across the full lifecycle, from concept through to in-service support managing a team of human factors engineers, • Perform analysis of Human Factor integration of design artifacts, • You’ll give technical governance and assurance of Human Factor activities across GCAP including Edgewing partner companies and suppliers, • You’ll interface with customers, partners, and regulators, participating in forums such as HFI Working Groups and Requirements Working Groups in an international environment Essential Skills: • You’ll draw on your experience to be able to apply this in the defence and/or aviation sectors to ensure best practices and compliance (highly regulated industries), • You’ll hold at least a bachelor’s degree, or demonstrate equivalent knowledge, in a relevant human science or Human Factors discipline, • You’ll have or be working towards chartership or senior/full/accredited membership with a professional body such as CIEHF, SIE, or JES, or possess equivalent knowledge and experience The Edgewing Team: By joining Edgewing, you will have a unique opportunity to help shape the company from the ground up — setting the foundations for generations to come, influencing how we work, and helping us build something world-class together. At Edgewing, we’re united by a shared purpose to drive what’s next in defence – uniting UK, Italian, and Japanese expertise to shape the future of global defence. With trust at the heart of everything we do, we empower our people to dare to go beyond, bring their best as one, and leave a mark that matters on a truly global mission, making a lasting impact through work that truly matters. Why BAE Systems? Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a good sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 27th May 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-JE1 #LI-Hybrid

Role: Systems Engineer – Defence Location: South West London- Hybrid As a Systems Engineer, you will play a central role in delivering Systems Engineering activities across key defence programmes. You will support the full engineering lifecycle, from understanding customer needs through to system design, integration, acceptance and delivery. Responsibilities: • Lead, conduct and deliver Systems Engineering work packages across the project lifecycle., • Produce and review technical documentation in line with programme schedules., • Plan, prepare and deliver key design reviews., • Manage technical aspects of suppliers, ensuring alignment with requirements and design baselines., • Review technical documentation from customers and suppliers, providing challenge and assurance., • Integrate effectively with Hardware, Mechanical, Software, V&V, ILS, Cybersecurity and Safety teams., • Provide technical leadership to deliver work packages on time, to cost and quality., • Support risk management, opportunity assessments, bids, proposals and estimation activities. Requirements: • Degree in Systems, Software, Electrical Engineering or a related field., • 5+ years’ experience in systems engineering within a highly regulated environment i.e. defence, aerospace, automotive ect., • Experience of system requirements, design, integration, acceptance and analysis., • Knowledge of control systems, PLC/SCADA and operational technology., • Experience with Model‑Based Design., • Experience in requirements management tools such as IBM DOORS., • Due to the nature of the work, applicants MUST be sole British Nationals for Security Clearance.

Role: Verification & Validation Engineer - Defence Location: South West London - Hybrid As a Verification & Validation Engineer, you will play a key role in ensuring the performance, safety and compliance of software and hardware products within the defence industry. You will work with Software and Systems teams, supporting the delivery of complex, multi-domain command and control systems. Responsibilities • Promote best practice throughout the Verification & Validation engineering lifecycle, ensuring compliance with defence industry standards., • Plan, execute and report on V&V activities using approved tools, methods and processes., • Lead/supervise engineers to support the delivery of defined work packages., • Contribute to project documentation, including requirements, design estimates, management plans, metrics and technical reviews., • Participate in design reviews, risk reviews, integration, acceptance and diagnostic testing activities. Requirements • Degree, HND, HNC or equivalent experience in Systems Engineering, Software, Control Systems Engineering or a related discipline., • 5+ years of experience planning and delivering Verification & Validation activities within a systems engineering environment., • Experience working within a highly regulated environment, i.e. Aerospace, Defence, Automotive etc., • Experience using IBM DOORS or similar., • Ability to mentor, supervise and support junior engineers., • Due to the nature of the work, applicants MUST be sole British Nationals for Security Clearance.

Verification & Validation Engineer Location: New Malden (hybrid) Salary: £55,000 - £65,000 What’s your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most – solving tomorrow’s challenges and shaping the technology solutions of the future. It’s what we call Defining Possible. This mindset goes beyond our customer solutions; it’s the foundation for your career development and the impact we have within the community. The Opportunity This is more than just a job; it’s a mission. As a Verification & Validation Engineer, you will play a pivotal role in proving the performance, safety and compliance of our software and hardware products. You’ll work within a multi‑disciplined project environment, supporting planning, execution and reporting of Verification & Validation activities that enable critical UK defence capabilities. You’ll be part of our UK Defence business – a sovereign software and systems centre of excellence delivering complex, multi‑domain command and control systems. Our work forms an essential backbone of the Royal Navy and wider mission systems, and you’ll join a team that thrives on curiosity, collaboration and innovation. What You’ll Be Doing • Promoting best practice across the Verification & Validation engineering lifecycle in line with corporate and industry standards., • Planning, conducting and reporting Verification & Validation activities using approved methods, tools and processes., • Leading or supervising engineers to ensure effective delivery of scoped work packages., • Contributing to project artefacts such as requirements inputs, design estimates, management plans, metrics and reviews., • Participating in design reviews, risk reviews, integration, acceptance and diagnostic test activities., • Managing defect investigation, issue resolution and progress reporting to programme stakeholders., • Applying IVVTQA principles and supporting systems engineering activities across requirements, design, integration, Verification & Validation and acceptance stages. What We’re Looking For Essential: • Degree, HND, HNC or equivalent experience in Systems Engineering, Software Engineering, Control Systems Engineering or similar field., • Significant experience (5+ years) in planning and delivering IVVTQA / Verification & Validation activities within a systems engineering lifecycle., • Competence in using DOORS or similar requirements and test management tools., • Experience applying Verification & Validation processes aligned to defence, military or recognised industry standards., • Ability to supervise, coach and support junior engineers., • Strong analytical and problem‑solving skills, including root cause analysis and development of effective remediation actions. Preferred: • Experience working within complex, safety‑critical or regulated engineering environments., • Exposure to multi‑domain mission systems, naval systems or command and control solutions. If you don’t meet every requirement, we still encourage you to apply. We hire for potential as well as experience. Security Clearance Due to the nature of our work, you must be a UK national to meet security requirements. You must be able to obtain and maintain SC (Security Check) clearance. Our recruitment team is here to help guide you through the process: talentenquiries@uk.ngc.com Benefits • Flexible and hybrid working options, including the option of a compressed fortnight., • Private healthcare and a comprehensive cash health plan., • Holiday buy/sell scheme., • Career development programmes and mentoring., • Performance-related bonuses. Why Join Us? A Mission to Believe In Every day we contribute to building a more secure and connected world across land, sea, air, space and cyberspace. From advanced maritime systems to multi‑domain command and control, your work will help shape the future of national security. A Place to Belong and Thrive We’re committed to an inclusive culture where every voice matters. From our Employee Resource Groups to partnerships with organisations such as Women in Defence, AFBE and Mind, we’re building a workplace where you can bring your authentic self. Your Career, Your Way With diverse roles, technical pathways, mentorship and tailored career development, you can shape your career in the way that works for you. We also offer flexibility to help balance life, wellbeing and work commitments. Ready to Apply? Yes: Submit your application online today. Possibly: Reach out to our team for a confidential chat – talentenquiries@uk.ngc.com No: Explore more opportunities with Northrop Grumman UK. We’re growing across the country

Location: South West London Salary: £50k - £67k Clearance: SC (or eligible) Control Systems Engineer to work for a defence company in based in SW London. You will be designing and testing solutions for SCADA Systems and operating systems using RedHat Linux. These solutions are vital to meeting to needs of a range of defence industry clients. Requirements: • Experienced in the use of High-Level Programming Languages within SCADA IDE environments such as VB, C#/C++., • Hands on knowledge of RedHat Linux operating systems., • Experience within Defence, Maritime, Aerospace, or a similarly regulated industry., • Security Clearance: due to the nature the work, you MUST be a British Citizen without dual nationality.

A highly respected engineering and technology organisation is seeking a Systems Engineer to support the delivery of complex, high-profile programmes within a secure and regulated environment. This is an excellent opportunity to join a multidisciplinary engineering team working on advanced integrated systems that support critical operational capabilities both in the UK and internationally. The Position The successful candidate will play a key role in delivering systems engineering activities across the full project lifecycle, from early requirements capture through to integration, validation and final delivery. Working closely with cross-functional engineering teams, you will help ensure technical solutions are delivered to the highest standards of quality, compliance and performance. Key Responsibilities: • Deliver systems engineering activities across multiple project phases, • Produce, review and maintain technical documentation and specifications, • Support major design reviews and engineering assurance activities, • Work with internal teams and external suppliers to ensure technical alignment and delivery, • Review technical requirements and provide engineering input throughout programme execution, • Collaborate with software, hardware, safety, verification and integration teams, • Contribute to technical planning, risk management and project estimation activities, • Ensure solutions are delivered in line with programme schedules, quality standards and customer expectations Skills & Experience Required: • Degree qualified in Systems Engineering, Electrical Engineering, Software Engineering or a similar discipline, • Previous experience within defence, aerospace, maritime or another regulated engineering sector, • Strong understanding of systems engineering principles including requirements management, integration and verification, • Experience with control systems, PLC/SCADA or operational technology environments, • Familiarity with model-based engineering tools such as Enterprise Architect, • Experience using requirements management tools such as DOORS, • Strong communication and stakeholder management skills, • Understanding of safety-critical or environmentally regulated systems Desirable Experience: • Exposure to verification and validation activities including EMC or environmental testing, • INCOSE accreditation or similar professional recognition Additional Information • Due to the nature of the projects involved, applicants must be UK Citizens and eligible to obtain UK Security Clearance. Benefits: • Salary: £65,000 – £72,000, • Performance-related bonus scheme, • Private healthcare, • Life assurance, • Hybrid and flexible working arrangements, • Compressed working pattern with additional time off, • Holiday buy/sell scheme, • Professional development and training support, • Relocation assistance may be available

Crane Worldwide Logistics is a leader in supply chain solutions with over 130 locations across 30 countries providing individual services that address our client's logistics challenges. The warehouse operative processes orders, accepts deliveries, and keeps the warehouse organised, which includes everything from physically moving product around the warehouse space and recording these movements to properly maintaining all shipping and receiving record. General Duties • Operates a forklift and preferable reach truck licensed., • Must meet quality and productivity metrics., • Receiving and Put away., • Picking and Packing, • Loading and Unloading, • Complete paperwork thoroughly and promptly., • Accurately and courteously load client merchandise., • Escalate all issues with a shipment immediately to the account coordinator to insure prompt resolution., • Manage all task requests and follows up to ensure that client needs are met., • Responsible for accurate inventory and locations in warehouse and the WMS system Footprint, • Organising Inbound and Outbound freight and staging them in their designated areas, • Reports to warehouse team leader or management to alert them of any issues with shipping or receiving., • Keeps warehouse area clean and organised, • Follow Health & Safety guidance., • Other duties as assigned. Experience Requirements • Warehouse: 1-2 years (Required) Other Skills & Abilities • Ability to add, subtract, multiply and divide in all units of measure using whole numbers, fractions and decimals., • Ability to read, comprehend and complete basic checklists, forms or other related documents., • Identifies and resolves problems in a timely manner., • Balances individual responsibilities., • Consistently at work and on time. Physical Requirements • Stand or sit for long periods of time., • Reach with hands and arms and stoop, kneel, crouch and frequently required to climb or balance., • Regularly lift and/or move 25 kilo and occasionally lift and/or move 25 kilos by hand, • Warehouse temperatures are variable and often uncontrolled, unless the product being stored requires that the maintenance of a specific temperature., • Ability to drive a forklift- and/or Reach truck and become certified by Crane Worldwide WHY SHOULD YOU WORK FOR CRANE? At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work. We offer: • Quarterly Incentive Bonus, • Employee Referral Bonuses, • Employee Recognition and Rewards Program, • Employee Discounts, • Bike to work Scheme., • Pension, • healthcare Come join the leader in logistics and take your career in the right direction. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Recruitment Agency Policy At Crane Worldwide Logistics we manage all hiring directly and do not accept unsolicited CVs or candidate profiles from recruitment agencies or search firms. Agencies must not contact our employees or managers directly with candidate details. Where recruitment support is required, we will engage trusted partners through a formal written agreement. We will not be liable for be liable for any associated placement fees for any CVs received without such an agreement. We appreciate your cooperation in respecting this policy.

Crane Worldwide Logistics is a leader in supply chain solutions with over 130 locations across 30 countries providing individual services that address our client's logistics challenges. The Tier 1 Operations Lead for Airfreight oversees day‑to‑day execution of critical air cargo movements for high‑value customers. This role ensures flawless coordination across booking, documentation, carrier handling, customs clearance, and milestone visibility. As the primary escalation point for critical accounts, the Operations Lead safeguards service reliability, manages exceptions, and maintains strong customer relationships in a fast‑paced, deadline‑driven environment. Essential Job Functions: Airfreight Operational Leadership • Lead Tier 1 airfreight teams responsible for bookings, pre‑alerts, tracking, and exception management., • Ensure all shipments meet airline cut‑offs, security requirements, and customer‑specific SOPs., • Monitor daily performance metrics such as uplift success rate, milestone accuracy, and transit time compliance. Critical Account Management • Act as the operational owner for key airfreight customers with sensitive cargo, high volumes, or strict transit requirements., • Build strong relationships with customer logistics teams, understanding their routing guides, compliance rules, and service expectations., • Conduct regular performance reviews, including root‑cause analysis for delays, rollovers, or documentation errors. Shipment Execution & Exception Handling • Oversee end‑to‑end airfreight processes: booking, pickup, export documentation, security screening, airline acceptance, uplift, arrival, customs clearance, and final delivery., • Serve as the first escalation point for issues such as:, • Airline rollovers, • Missing or incorrect documentation, • Screening failures, • Capacity shortages, • Weather‑related disruptions, • Customs holds, • Coordinate with carriers, ground handlers, customs brokers, and internal teams to resolve issues quickly and protect customer timelines. Documentation & Compliance • Ensure accuracy and timeliness of all airfreight documents, including MAWB/HAWB, commercial invoices, packing lists, DG declarations, and security documentation., • Maintain compliance with aviation security regulations, IATA standards, and customer SOPs., • Identify documentation gaps and implement corrective actions to prevent recurrence. Carrier & Stakeholder Coordination • Work closely with airlines, GSAs, and ground handling agents to secure space, manage uplift priorities, and resolve operational issues., • Provide proactive communication to customers regarding flight status, delays, and recovery plans., • Support carrier performance reviews by providing operational insights and data. Cross‑Functional Collaboration • Partner with Sales, Key Account Management, Customs, and Network Operations teams to support customer needs and service improvements., • Provide operational feedback to influence routing strategies, carrier selection, and capacity planning., • Support onboarding of new airfreight accounts, ensuring SOPs, KPIs, and communication flows are clearly defined. Required Skills and Experience • 4 years experience in airfreight operations within a freight forwarder or airline environment., • Strong understanding of IATA regulations, airline processes, security screening, trade copmliance and customs procedures., • 4 years experience managing time‑critical shipments and high‑pressure escalations., • Excellent communication skills with the ability to provide clear, concise updates to customers and internal teams., • Familiarity with airfreight TMS systems, airline portals, and visibility platforms. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Talking, hearing and using hands to operate computer equipment, • Vision abilities required by this job include close vision and the ability to adjust focus Certificate • Professional certification may be required in some areas Key Competencies • Customer Focus: Dedicated to supporting high‑value accounts with urgency and precision., • Operational Discipline: Strong attention to detail in documentation, cut‑off management, and milestone accuracy., • Problem‑Solving: Able to quickly assess issues and drive fast, effective resolutions., • Leadership: Guides Tier 1 teams with clarity, accountability, and calm under pressure., • Agility: Thrives in a fast‑paced environment with frequent exceptions and tight deadlines. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Recruitment Agency Policy At Crane Worldwide Logistics we manage all hiring directly and do not accept unsolicited CVs or candidate profiles from recruitment agencies or search firms. Agencies must not contact our employees or managers directly with candidate details. Where recruitment support is required, we will engage trusted partners through a formal written agreement. Any CVs received without such an agreement will be treated as direct applications, and (Company Name) will not be liable for any associated placement fees. We appreciate your cooperation in respecting this policy.

JOB DESCRIPTION To relieve teachers of non-teaching duties including classroom administration and practical tasks such as the preparation of teaching materials. \n Support the learning activities of children under the direction of the classroom teacher / Principal Teacher and other colleagues. \n Support pupils with additional support needs of a wide nature which include physical difficulties and challenging behaviour. \n If you apply for this post, please ensure your email provider accepts emails from noreply@myjobscotland.gov.uk by adding Myjobscotland as a safe sender. If you are unsure how to do this, please contact your email provider for guidance, as this varies per provider. RESPONSIBILITIES Please click on the Job Attachments to access the Job Description. ABOUT US South Ayrshire is at the heart of historic Ayrshire, with a wealth of local heritage and culture, first class leisure amenities, world-wide travel links, diverse landscapes and thriving communities. \n Making a difference for our communities is at the heart of what we do and working with us means, you can use your skills, knowledge and experience to help us do just that. We currently employ around 6000 people to serve a population of more than 112,000 people located across a diverse area that includes the towns of Ayr, Girvan, Maybole, Prestwick and Troon as well as small rural villages, coastline and farmland. \n We are an ambitious Council, and we aim to place people at the centre of everything we do as we look to deliver the best possible outcomes. We are ambitious for our communities too and our new Council Plan is based on priorities and outcomes that we believe will have the greatest impact on the wellbeing of our communities, our local economy, and our environment. \n BENEFITS \n Here’s what we can offer! \n\n • Competitive salary\n, • Excellent pension scheme\n, • Wellbeing initiatives and Occupational Health services\n, • A healthy environment supportive of work-life balance and caring responsibilities\n, • Car leasing scheme\n, • Discounts on major supermarkets and retailers, cinemas and gym memberships (including Council leisure facilities)\n, • Purchase of white goods and more via salary sacrifice\n, • Cycle to Work Scheme\n, • Scotwest Credit Union\nREQUIREMENTS This post is considered to be Regulated Work with children and/or protected adults as specified in the Protection of Vulnerable Groups (Scotland) (PVG) Act 2007. Accordingly, the preferred candidate will be required to become a member of the PVG Scheme, or undergo a PVG Scheme update if already a Scheme member, prior to any formal offer of employment being made. If you wish further information on the PVG Scheme you can visit the Disclosure Scotland website at www.disclosurescotland.co.uk. \n Please note you may be required to meet PVG costs. ADDITIONAL INFORMATION Interviews for this post are scheduled for 01/06/2026. \n The grade of this post is Level 4. \n The work style for this post is Frontline worker.

About Lampton Leisure\n\nLampton Leisure is community with health and wellbeing at our core. We understand everyone’s health journey is unique and personal to them, so we’re proud to offer a suite of fitness and wellbeing facilities for local people with all levels of experience. It is our mission to provide inclusive and safe environments, delivering supportive and expert advice to all ages, abilities, and backgrounds, providing an enjoyable customer experience across all our leisure centres in West London.\n\nWhy Join Lampton Leisure?\n\nWe are a LLW employer - nationally negotiated annual pay awards\nFree gym membership \nEnhanced Maternity and Paternity leave and Pension Scheme \nExclusive Discounts - save with Lampton Rewards and EE mobile offers\nStaff wellbeing perks - online GP access, EAP, health testing, flu Jabs, and eye care vouchers\nSustainability Perks - cycle to work and electric car salary sacrifice scheme\nCareer Growth – CPD training, structured development, and leadership opportunities\n\nAbout the Job\n\nAs a Level 2 Swimming Teacher, you will prepare and deliver swimming lessons to Children and Adults in the swim school program, ensuring the Swim England Framework are followed at all times. Our successful swim program covers an array of stages starting from adult and baby/toddler, Pre-school 1/2/3 and stage 1-7 and beyond, leading on to our exit pathway of rookie and competitive stages 8,9,10 and adult swim lessons.\n\nKey Responsibilities\n\nPrepare lesson plans and a comprehensive scheme of work that meets the requirements ‘all Swim England Frameworks.\nCarry out all administrative tasks associated with the position, including lesson plans and schemes of work. Ensure all classes registers are taken every lesson and continuous assessment of pupils are update happen each week. \nEnsure upholding all GDPR guidelines at all times.\nResponsible for equipment set-up, organisation throughout the sessions and putting away at the end of the session.\nComply with the Swim England Code of Ethics and Code of Conduct at all times.\nEnsure all concerns of a child safeguarding nature are referred in a timely and appropriate manner, in accordance with Safeguarding policy.\nSupervise and mentor ASA/Swim England Level 1 Assistant Swimming Teachers as required. \nAdapt to be in the water where necessary to support the wide range of lesson delivered if needed.\n\nExperience and Qualifications Required\n\nASA/Swim England or SEQ Level 1 Swimming Assistant (Teaching) qualification\nSEQ Level 2 Teaching Swimming, or STA Level 2 Award in Teaching Swimming and STA Level 2 Certificate in Teaching Swimming qualification \nExperience of working in a comparable role.\nExperience of delivering first class customer service to a diverse client base.\nUnderstanding of relevant health and safety legislation and procedure, and the ability to exercise these in the workplace.\nExcellent communication skills, including listening, questioning, and delivering effective feedback, and the ability to quickly build trust and rapport with customers, children, their parent, and school officials.\n\nDue to the needs of the business and the department, we may interview suitable candidates before the closing date. This job may also close early if a large number of applications are received. You are advised to submit your application as early as possible to avoid missing your chance to apply.\n\nDiversity, equity and inclusion are at the heart of what we value as an organisation. Lampton Group is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support with any reasonable adjustments that are needed within the recruitment process. \n\nImportant information:\n\nThis post is exempted under the Rehabilitation of Offenders Act 1974 and as such appointment to this post will be conditional upon the receipt of a satisfactory response to a check of police records via Disclosure and Barring Service (DBS). The Disclosure and Barring Service (DBS) helps employers make safer recruitment decisions and prevent unsuitable people from working with vulnerable groups, including children. It replaces the Criminal Records Bureau (CRB) and Independent Safeguarding Authority (ISA)

Role: Hedge Accounting Specialist - VP Location: London Purpose of the role To report and analyse hedging relationships, identify potential hedge accounting opportunities, and implement effective hedging strategies to mitigate accounting asymmetry risk. Accountabilities Design and implementation of effective hedge accounting strategies that support the bank's overall risk management framework and adjust as needed to maintain hedge effectiveness and respond to changes in market conditions. Assessment of potential hedge accounting relationships between financial instruments, considering factors such as effectiveness, designation, and hedge ratio. Preparation and maintenance of comprehensive hedge accounting documentation, including hedge designation reports, effectiveness testing results, and fair value measurements and ensure that hedge accounting documentation is accurate, compliant with accounting standards, and readily available for audit review. Fair value measurements for financial instruments, including both hedged and hedging instruments, using appropriate valuation methodologies, and calculation and recording of hedge accounting adjustments, including hedge ineffectiveness adjustments, to reflect the impact of hedging relationships on the financial statements. Management of regular effectiveness testing of hedging relationships to assess whether they continue to meet the requirements for hedge accounting, and evaluation of the effectiveness of hedging strategies and adjust as needed to maintain hedge effectiveness. Report the internal and external statutory view of hedge accounting effectiveness for presentation into Barclays Annual Accounts. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. As a Hedge Accounting VP, you’ll act as a key subject matter expert for Barclays’ hedge accounting function and a trusted business partner to stakeholders across the firm. You’ll provide expert advice on hedge accounting matters, supporting the development and refinement of new and existing hedge strategies and helping to shape the strategic direction of the function. Your insight will enable the business to make informed decisions while ensuring hedge accounting approaches remain robust, compliant, and aligned with commercial objectives. You’ll play a central role in managing and evolving the hedge accounting risk and control framework, ensuring controls are designed and performed to the highest standards and that financial performance is clearly understood. You’ll be responsible for the accurate and timely reporting of hedge accounting results and disclosures across the firm’s legal entity structure, and you’ll support impact assessments for new accounting standards, including Risk Mitigation Accounting. In addition, you’ll contribute to and lead elements of the function’s change agenda, providing strong input into the Transform initiative and helping to deliver sustainable improvements across hedge accounting capabilities. Essential Skills/Basic Qualifications: Technical accounting mind-set with experience of hedge accounting Excellent written and verbal communication skills; tested in a variety of mediums including presentations, policy documents and stakeholder meetings/forums Fully qualified accountant (ACA, ACCA or equivalent) Desirable skills/Preferred Qualifications: Experience of working in Banking or other Financial Services company Understanding of Treasury function and related products You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measures and rewards the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid Working Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. Barclays also has a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

GLL is currently looking for Swimming Teachers based at Pools on the Park, in Richmond. If you have the skills and ambition to join us as a Swimming Teacher, there's never been a more exciting time to join us. This is more than just a Swimming Teacher job, it's a career. As a Swimming Teacher, you will play a key role in developing our customers' swimming skills. This is your chance to deliver safe, consistent swimming lessons that give people real confidence in the water and an invaluable life skill. As an experienced Swimming Teacher, youll thrive on supporting people to achieve their potential, taking a pupils nature and needs into account. Swimming Teachers draw on their knowledge of practices, progression, and teaching points and apply it in the most effective way. Naturally, therell be some administration involved, but rest assured that almost all of your time will be spent doing what you do best, teaching people to become stronger swimmers, whether in a group or one-to-one, and from children to adults. Were looking for Swimming Teachers who are approachable, with the friendly, patient nature needed to build peoples trust, motivate pupils, and encourage with praise. Youll need to be STA Award or Certificate level or Swim England Level 2 qualified and ideally have the National Rescue Award for Swimming Teachers & Coaches. Knowledge of health, safety, and other relevant legislation will be vital too...

Our client close to Heathrow is looking for an experienced Technician with previous experience Handling Fine Art and Antiques Responsibilities include but are not limited to the following: Undertake the packing of client items to company standards and, taking into account the nature of the item, its storage requirements, transportation and any installation/de-installation considerations. Undertake collections, deliveries and installations of fine art items in diverse locations as required by clients. These include art installations, galleries and art fairs Requirements Experience of fine art storageCapable and willing to undertake physical activity in the handling, movement and installation of fine art itemsExcellent communication skills w...

Lifestyle Manager Petersham Nurseries, Richmond Petersham Nurseries is a place of quiet beauty and considered living, where food, nature, design and community come together. Set within our greenhouse restaurant and surrounding gardens in Richmond, we are seeking a Lifestyle Manager to lead and curate the day-to-day experience across our retail lifestyle offering. This is a role for someone who understands that Petersham is more than a destination, it is a feeling. You will shape how our guests move through the space, from the first welcome to the details they take home. The Role As Lifestyle Manager, you will take ownership of the retail and lifestyle environment, overseeing the shop floor, team, guest experience. You will lead a team with warmth and clarity, balancing commercial performance with an intuitive understanding of the Petersham aesthetic. You will be responsible for driving revenue, maintaining exceptional visual standards, and ensuring the space evolves with the seasons, always aligned with our wider brand and storytelling.

Role : Product Manager (Product Proposition Manager) Location : London Duration : 6 months Overall Purpose Of the Role: We are looking for a Product Proposition Manager to join our Retail Banking team focusing on personal customers. Sitting within the Segments and Propositions team, you will be instrumental in driving segmentation across the UK for mass-market and premier customers. Your core focus will be shaping how we treat and deliver value to customers across these different segments. Key Responsibilities Managing Blue rewards propositions in a Business As Usual (BAU) capacity. Overseeing the risk and control environment, which includes actively managing key risk indicators. Driving strategic development to shape how we evolve and defining the wider product agenda. Managing and developing different product sets, such as our Apple TV proposition Key Skills Industry Experience: Primarily seeking candidates with a Financial Services background, though professionals with Telecoms experience will also be considered due to skill crossover. Commercial Acumen: Strong ability to drive, track, and monitor performance metrics. Digital Change Management: Proven experience in taking digital projects from inception right through to successful delivery. Execution & Stakeholder Management: High-quality task execution combined with excellent stakeholder management skills. Work Style: Must be highly proactive, self-efficient, and goal-driven rather than just task-driven. Desirable (but not essential): Experience using Jira for process management and familiarity with Adobe content management platforms. About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measures and rewards the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid Working Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. Barclays also has a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

We are currently working with an 'Outstanding' Ofsted rated establishment, with many different sites. They take pride in ensuring each child's individual needs are met and catered to, by employing reliable staff members and expanding their resources consistently.This is a full time role starting in September 2026 and be for the new academic year. They are currently searching for an experienced, motivated and passionate individual to join their respectable team of learning support assistants. Due to the nature of the children, experience of working in a support or sports coaching role would be highly preferred, but it is not essential. The role is for an immediate start, running through to the end of the academic year. You will be working 5 days a week, from the hours of 8:30am to 4:00pm. You will be assigned a classroom consisting of 6-8 pupils. Your day to day role will include you working on a 1:1 or small group basis with these children. To apply, you must have a form of UK-based child related, or support working experience within the last 3 years. Successful candidates will have an optimistic and passionate approach to working with children and young adults with special needs. Are you determined to make a positive change in people's lives?If so, this role is for you. Please apply today. Reeson Education: Reeson Education is England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across England. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of London. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert. All daily/hourly rates quoted are inclusive of holiday pay at 12.07%

Job Title: Transaction Monitoring & Screening Advisory Manager Location: London/Birmingham (hybrid - 3 days per week on site) Length: 6 months PAYE only Overall purpose of the role We are looking for an Assistant Vice President to join IB-FC to support the business with a strong expertise in financial crime risk management, policy and regulation across IB transaction monitoring and/or screening. The primary duties of this role will be to support the completion of Transaction Monitoring Risk Assessments, ensure Barclays transaction monitoring and screening risk coverage remains commensurate to the level of business risk exposure, increase the efficiency of transaction monitoring and screening, support the implementation of strategic initiatives and business growth, manage emerging risks and issues in line with Barclays Issue Management Standards. Key Accountabilities: Support the Senior Transaction Monitoring Advisory Manager to complete Transaction Monitoring Risk Assessments for the IB business. Identify enhancements to IB transaction monitoring and screening risk coverage, developing appropriate solutions (in conjunction with key stakeholders) and supporting the successful delivery of identified solutions. Identify, escalate and manage emerging transaction monitoring and screening risks and issues in line with Barclays Issue Management Standards. Support strategic business growth by assessing the impact of new/amended products and services on the IB business risk profile and determining if transaction monitoring and screening enhancements are required. Assess the impact of policy, regulatory changes and strategic initiatives on transaction monitoring requirements. Enable an effective working relationship between the Product/Coverage, TM/Screening Model Owners, TM/Screening Operations and second line of defence in Financial Crime Compliance on matters relevant to transaction monitoring. Review and challenge the transaction monitoring/screening control environment (including those undertaken by shared services or outsourced service providers). Key Skills: Strong understanding and prior experience of transaction monitoring/screening within wholesale banking (e.g. transaction banking, correspondent banking, markets, trade finance). Strong data analytic skills and knowledge of machine learning advantageous. Knowledge of regulatory expectations across multiple geographies (e.g. US, UK, EU, APAC). Experience of interacting with stakeholders across multiple jurisdictions. Experience contributing to strategic direction incorporating a Values-aligned performance culture. Experience focusing on developing and implementing consistent risk and control global frameworks within an organization. Ability to deal with ambiguity and simplify outputs and recommendations. Comfortable in fast growing and complex environments and ability to move effortlessly between strategic topics to day-to-day regulatory risks. About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measures and rewards the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid Working Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. Barclays also has a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

Role: Prison Security Escort Location: HMP Downview / HMP Highdown Standard Rate: £14.42 per hour + 33 days holiday pay Overtime rate: £19.18 ph (overtime after 39 hours) Duration: Temporary role, with the opportunity to be long term Typical hours: Monday to Friday: 08:00-17:00 As a Prison Security Escort, you will work alongside the prison service, assisting our client who is responsible for the maintenance of the buildings. You will be a part of security team where you will escort and oversee contractors such as carpenters, plumbers and electricians, whilst they complete their maintenance work. Duties of a Prison Security Escort Include (but not limited to) • Checking the identification of the contractors, • Checking contractors have been briefed on security measures, • Escorting contractors through the prison to their place of work, • Overseeing contractors whilst they are working (Please note you will have to stay with the contractors at all times), • Checking contractor tools are all accounted for prior to leaving work area, • Using the radio to request permission to move contractors within the prison About You: • You will have good communication skills, • Have excellent attention to detail, • Be safety conscious, • Have been living in the UK for the past 3+ years, • Be able to pass security vetting (includes providing references, passing security police checks & providing photo identification) Why should you apply? • 33 days holiday per year, • No experience required, • Full training provided, • Access to internal roles within a government facility, often with the potential to apply to permanent positions Due to the nature of the environment, you will be asked to complete the standard Security Vetting for the establishments. If you are interested in this Prison Security Escort position based at HMP Downview / HMP HighdownSutton Ln, Sutton SM2 5PD, please apply and we will be in touch. SkyBlue is an equal opportunity employer.

Heating Engineer Offering up to £40,000 Basic Salary plus a Fully Equipped Van & other Great Benefits Our client is a growing agricultural and fuel supply business based in North Yorkshire. Operating across North and East Yorkshire, the business supports a large rural customer base and delivers a wide range of fuel and agricultural services. Due to continued growth, they are now recruiting a Heating Engineer to join their established engineering team. Based on our clients site near York, the Heating Engineer will work both independently and alongside experienced engineers to deliver servicing, maintenance, and installation of Oil & LPG heating systems. Given the rural nature of their customer base, most properties are off mains gas, so experience ideally in both oil and LPG systems is required. The Heating Engineer will also support the installation of fuel tanks and associated equipment, contributing to a large-scale fuel operation. Heating Engineer - Key Responsibilities • Service, maintain, and install boilers and heating appliances, • Assist...

Staffline are currently recruiting for an Aviation Operations Coordinator, working for a well-known site at London Heathrow Airport. Contract Information: Pay Rate: £15.00 per hour Shift Pattern: Full-time, rotating shifts, 6am to 6pm, 8am to 8pm, 10am to 10pm A Full Manual UK Driving Licence is required. Due to the nature of this role, all candidates will be asked to provide references covering the last 5 years of employment. Candidates must be willing to undergo a DBS and CTC check. Your Time at Work As an Aviation Operations Coordinator, you will be responsible for: • Staff Rosters and Deployment: Ensure accurate and efficient roster management to formulate rosters and staff attendance in advance, as well as planning and reacting to operational/flight changes and staff changes due to annual leave, training and unplanned absence., • Operational Control: Coordinate day-to-day aviation security operations to ensure a safe, efficient, and compliant environment. Take charge of team deployment to and from aircraft and other operations., • Flight Operations: As a member of the management team, deploy to aircraft completing screening and guarding duties as required, and also act as the coordinator at the aircraft, overseeing complia...