Trabajos building services engineer en Reino Unido

Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. You'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. Top reasons to join our team: • Be a catalyst to deliver a truly disruptive products that are growing rapidly, • Define, build, own, and run a service in high growth environment, • Solve unique and first-order problems at massive-scale across many AWS Services, • Learn how to build and operate distributed systems at massive scale, • Build and influence the tools and utilities that are part of the AWS fleet running our internal services WHAT DOES A SYSTEMS ENGINEER DO AT AMAZON? Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.” On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with the top engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes. As a Systems Engineer at Amazon you will utilise your Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. You will draw on your networking knowledge to identity and troubleshoot network connectivity issues. You understand system design best practices and the importance of implementing systems and services that are secure, scalable, reliable, resilient, efficient and performant. You communicate clearly and collaborate with others to deliver results. You are a self-starter, comfortable dealing with ambiguity and change. You are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. Key job responsibilities • Work proactively to solve potential problems and inefficiencies. Communicate clearly and collaborate with others to deliver results with minimal supervision., • Participating in 24/7 on-call rotation to troubleshoot high severity issues, • Analysing dashboards and investigating metrics with the vision for improvements, • Create and maintain Standard Operating Procedures (SOPs) and runbooks for documentation, • Discuss radical new approaches to automate operational issues, assess risks and develop creative solutions., • Develop strategies for resolving identified problems to prevent future occurrences, • Assist others in the team About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration, • Experience working with Linux, • Experience in systems engineering, • Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent, • Knowledge of TCP/IP and networking protocols such as HTTP and DNS, • Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security, • Experience working in 24/7 production environment, • Experience with service-oriented architecture and web services Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior Design Engineer - Cabling London or Stowmarket (Hybrid) Permanent Competitive Salary on offer + Car or Car Allowance + Flexible Benefits Summary Freedom's Professional Services are looking for a Senior Design Engineer with a cabling system and or cable routing specialism to join our team based out of our offices in either London or Stowmarket. This role will work on the design, drawing and calculations of our projects, working with the wider Design team, with site visits to carry out surveys and data collection, as required, Hybrid working arrangement between office(s), home and site Some of the key deliverables in this role will include: • Manage and lead with delivering technically demanding projects., • Lead all types of cabling projects (including undertaking calculations and producing drawings) from concept design to detailed design unaided, ensuring that the project is cost effective and delivered on time with the deadlines in the proposal., • Have good commercial awareness with the ability to work closely with our clients to build a strong relationship., • Detailed knowledge and understanding of cable system design including very good knowledge of software packages including CYMCAP., • Detailed knowledge and understanding of cable routing design including very good knowledge of software packages including AutoCAD., • Understand and mitigate complex engineering problems such as SED’s., • Mentor and provide help / guidance to Design, Assistant and Graduate Engineer’s., • Attend and chair design team meetings with the team/client via teams or in person., • Provide engineering solutions to site-based problems through TQ/RFI process., • Have the ability to review/authorise cable design reports and drawings to a high standard, providing constructive technical feedback to all engineering levels., • Degree qualified is desirable, but fundamentals from HNC/HNC is essential. We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: • Pension with a leading provider and up to 8% employer contribution, • 25 days holiday, • Company vehicle (or car allowance), • Personal Wellbeing and Volunteer Days, • Private Medical Insurance, • Sick Pay, • Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice), • Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes., • Personal development programme As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be #LI-JL1

We're looking for a Senior Engineer to join our Design team based in London. Our 100-strong Construction Engineering capability brings together a team of talented civil, structural and geotechnical engineers from a range of backgrounds, combining complex analysis, spatial design and an eye for the practical to deliver buildable solutions on site. We specialise in reimagining permanent designs to make them more buildable, designing temporary works and traffic management solutions, advising on the procedural management of temporary works, construction materials, ground engineering and surveying. \n Kier Design are a top-25 engineering consultancy, delivering a wide range of services across all sectors of the built environment, providing construction-focused, innovative and sustainable solutions. We have preferential access to Kier's £11bn+ project pipeline, including mega projects like High Speed 2 and Hinkley Point C, frameworks with national and local government and other public bodies, and a range of other interesting projects in every sector of the built environment. \n We believe in building teams around our people, rather than squeezing people into our teams, we want to help you carve out a role in which you'll grow and thrive for many years to come. Offering market-leading development opportunities, supporting our graduates through the early stages of their careers, enabling our people to become professionally qualified, providing management training and qualifications, and supporting ongoing technical development throughout our people's careers. Actively promoting, so you can keep pushing and stretching yourself. \n\n \n Location: London - remote working available, with occasional travel to the office required. Hours: 40 hours per week - some flexibility on hours available if desired, just let us know when you speak to us. \n We are unable to offer certificates of sponsorship to any candidates in this role. \n \n What will you be responsible for? \n As a Senior Engineer, you'll be working within the construction engineering team, supporting them in delivering high-quality technical solutions. Leading the delivery of diverse construction engineering services across our projects. You'll play a key role in providing practical, safe, and buildable solutions whilst contributing to our reputation for engineering excellence. \n Your day to day will include: \n\n • Leading temporary and permanent works design, ensuring compliance with safety and quality standards\n, • Supporting tender and bid processes with feasibility studies, design concepts, and value engineering solutions\n, • Managing design projects from inception to completion, coordinating multidisciplinary teams where required\n, • Providing technical expertise and guidance to project teams, acting as a trusted advisor on engineering matters\n, • You're an Incorporated member of a relevant professional institution (e.g. IEng MICE) with five years' experience, or you have ten years' relevant experience\n, • You have strong technical knowledge in construction engineering and design\n, • You're comfortable managing projects, coordinating teams, and building positive client relationships\n, • You can communicate complex technical information clearly to diverse audiences\n #LI-MA1

Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. If you join us, you’ll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Top reasons to join our team: • Be a catalyst to deliver a truly disruptive products that are growing rapidly, • Define, build, own, and run a service in high growth environment, • Solve unique and first-order problems at massive-scale across many AWS Services, • Learn how to build and operate distributed systems at massive scale, • Build and influence the tools and utilities that are part of the AWS fleet running our internal services Key job responsibilities WHAT DOES A SYSTEMS ENGINEER DO AT AMAZON? Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.” On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes. Our Systems Engineering roles help engineers develop a broad range of skills. They utilise their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. They draw on their networking knowledge to identity and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About the team About AWS Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Bachelor's degree in Computer Science or other technical degree or related experience, • Knowledge of networking fundamentals, • Experience working in a 24/7 production environment, • Experience in Linux systems administration and/or development, • Experience working in at least two of these languages: Python, Java, Perl, PHP, Ruby or Bash/Shell, • Knowledge of configuration management systems, such as Puppet, Chef, Ansible, or related systems, • Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration, • Experience in network capture and systems troubleshooting, • Experience building scripts, tooling, and automation for large-scale computing environments Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

White Collar Factory (95009), United Kingdom, London, London Software Engineering Manager - Services About this role Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a Software Engineering team and be passionate about people and technical leadership. What you’ll do • Be a differential people leader. Literally. We expect you to coach and nurture your engineers and make a material positive difference to their careers and impact on the business., • Bring technical leadership to your team. We don’t require you to code, but we do expect you to stay close to your team’s work, set a high bar for engineering, understand technical risks and influence architectural thinking and decisions., • Bring context and purpose to your team. You will ensure your team understands the why behind the work they do, and you will be intentional about how you own and shape culture., • Own ways of working and deliveries, partnering with your Product Owner and Change Delivery Lead to shape roadmaps and lead frequent delivery of high quality software in a complex regulatory environment, • Own one or more business applications, keeping them well-managed and compliant with the high bar set by the business, • Be a manager for the business, elevating your thinking beyond your immediate team. You’ll represent the interests and context of the business to your engineers, and help make the environment beyond your immediate team a better place. What we’re looking for An approachable and inquisitive problem-solving leader, with a focus on the why, and a passion for growing people, nurturing culture and leading technical delivery to help us get things done and make things better in a complex, regulatory environment. We are looking for: • Previous experience in leading teams, growing engineers and dealing with conflict, constructively and collaboratively, • Previous experience of having been an experienced software engineer, and somebody who remains comfortable with technology, architectural decisions and technical trade-offs, • Previous experience in our backend tech stack - Java, Spring, AWS and who is a strong advocate of tight feedback loops through mechanisms including, but not limited to automated tests, CI/CD pipelines and frequent releases, • A balance of self-reflection and bias for action, • Strong ownership and excellent communication, • A drive for positive, proactive impact We understand that great engineering managers may not have everything listed here, and that is OK. If you believe you can make a difference, lead a happy & high-performing engineering team and you have the drive to make a positive impact on the business, we’d love to hear from you. What’s in it for you: • A people and technical leadership role in an engineering organisation that actively values excellence and doing the right thing, in a business that cares for its associates and has interesting problems to solve around growth, security, availability and performance in a highly regulated space., • A learning environment with access to many excellent resources including online technical courses and in-person leadership training, • A competitive salary and immediate access to core benefits including salary sacrifice pension scheme with up to 10% company contribution, bonus, generous holiday entitlement, private medical insurance and flexible benefits including season ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspace and facilities designed to inspire and support you. In our (quite beautiful) London office, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you’ll get to learn (any previous experience would be advantageous) • Solve real world problems, navigate ambiguity and deliver on the public cloud (AWS) to drive growth and operational efficiencies in an ambitious and growing UK business, • Influence change in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront – to provide LGBTQ+ support for all associates, • Mind Your Mind – signposting support and promoting positive mental wellbeing for all, • Women in Tech – promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Software Development Engineer - Services About this role Capital One’s mission is to change banking for good by bringing humanity, ingenuity and simplicity to banking. Sitting at the core of such values is our Software Engineering department whose primary role is to be an enabler of our ambitions. Capital One is looking for a Senior Software Development Engineer to join a backend team, based in our London office on a hybrid basis. Our Engineers are people who lead by example, build strong and valuable relationships and have the confidence to influence at all levels. We are proud of who we are and what we do and want you to join us at this particularly exciting time at Capital One. What you’ll do * You will lead a team or cross-functional squad in the delivery of complex and ambiguous projects that support a broader business outcome * You will take end-to-end responsibility for technical design, implementation, and operational considerations * Collaborate with engineers, architects, product owners, and stakeholders to ensure successful project outcomes * You will play a crucial role in supporting the elevation of engineering enablement, excellence, and experience across the broader engineering community * You will collaborate and contribute to the development and dissemination of standardised and sustainable best practices, tools, patterns, and frameworks that enhance the productivity and quality of engineering efforts business-wide * Your focus is on a major portion of existing or new team software (e.g., significant component, set of features, mid-size application or service) * You’ll work to achieve the goals and vision shared by Product Management and your Tribe Leadership * Innovate within your team, initiative area and contribute within your technical domain What we’re looking for * Proven experience in technical leadership, including leading a team or cross-functional squad * Proven experience working in both backend services and mobile technologies * Exceptional programming skills and knowledge of building APIs using modern OO languages preferably Java, SOLID principles, SOA, HTTP and REST * Experience with AWS and strong understanding of cloud-based development * Extensive, demonstrable knowledge of designing architectures that are secure and perform at scale * You’re able to effectively communicate and work collaboratively across engineering to maximise inner-sourcing opportunities and reduce waste * Proven experience ability to deliver high quality applications at scale * An advocate for quality and the ability to support the team, leveraging approaches such as Pair Programming, TDD and BDD Where and how you'll work This is a permanent position and will be based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you * Bring us all this - and you’ll be handsomely rewarded with a role contributing to the product roadmap for an organisation committed to transformation * We’re continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve * We love continuous learning and that’s why we give you 10% of your time to work on cutting edge innovative projects that shape the way we will work in the future * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women and ethnic minority candidates. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Software Engineering Manager About this role Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a Software Engineering team and be passionate about people and technical leadership. What you’ll do * Be a differential people leader. Literally. We expect you to coach and nurture your engineers and make a material positive difference to their careers and impact on the business. * Bring technical leadership to your team. We don’t require you to code, but we do expect you to stay close to your team’s work, set a high bar for engineering, understand technical risks and influence architectural thinking and decisions. * Bring context and purpose to your team. You will ensure your team understands the why behind the work they do, and you will be intentional about how you own and shape culture. * Own ways of working and deliveries, partnering with your Product Owner and Change Delivery Lead to shape roadmaps and lead frequent delivery of high quality software in a complex regulatory environment * Own one or more business applications, keeping them well-managed and compliant with the high bar set by the business * Be a manager for the business, elevating your thinking beyond your immediate team. You’ll represent the interests and context of the business to your engineers, and help make the environment beyond your immediate team a better place. What we’re looking for An approachable and inquisitive problem-solving leader, with a focus on the why, and a passion for growing people, nurturing culture and leading technical delivery to help us get things done and make things better in a complex, regulatory environment. We are looking for: * Previous experience in leading teams, growing engineers and dealing with conflict, constructively and collaboratively * Previous experience of having been an experienced software engineer, and somebody who remains comfortable with technology, architectural decisions and technical trade-offs * Previous experience in our backend tech stack - Java, Spring, AWS and who is a strong advocate of tight feedback loops through mechanisms including, but not limited to automated tests, CI/CD pipelines and frequent releases * A balance of self-reflection and bias for action * Strong ownership and excellent communication * A drive for positive, proactive impact We understand that great engineering managers may not have everything listed here, and that is OK. If you believe you can make a difference, lead a happy & high-performing engineering team and you have the drive to make a positive impact on the business, we’d love to hear from you. What’s in it for you: * A people and technical leadership role in an engineering organisation that actively values excellence and doing the right thing, in a business that cares for its associates and has interesting problems to solve around growth, security, availability and performance in a highly regulated space. * A learning environment with access to many excellent resources including online technical courses and in-person leadership training * A competitive salary and immediate access to core benefits including salary sacrifice pension scheme with up to 10% company contribution, bonus, generous holiday entitlement, private medical insurance and flexible benefits including season ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspace and facilities designed to inspire and support you. In our (quite beautiful) London office, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you’ll get to learn (any previous experience would be advantageous) * Solve real world problems, navigate ambiguity and deliver on the public cloud (AWS) to drive growth and operational efficiencies in an ambitious and growing UK business * Influence change in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry * Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do • Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction, • Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy, • Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects, • Represent Capital One in external technical forums, contributing to vendor/industry discussions, • Drive service quality standards and practices for your domain, guiding complex incident resolution, • Develop and advocate for strategies to proactively manage technical debt across multiple teams, • Actively mentor and develop engineers, fostering a culture of continuous learning What we’re looking for • Deep expertise in Java, • Deep expertise in system design and distributed architectures, • Track record of leading technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Proven experience setting a multi-team technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving engineering standards and best practices across organisations, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you • Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront – to provide LGBTQ+ support for all associates, • Mind Your Mind – signposting support and promoting positive mental wellbeing for all, • Women in Tech – promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do • Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle., • Proven Automation experience using Public Cloud or Microsoft Technologies, • Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment., • Understanding of cloud environments such as GCP, AWS, or Azure., • Strong analytical and problem-solving skills, with attention to performance and maintainability., • Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly., • Awareness of AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is desirable. Team overview We are seeking a talented AI Engineer to join our Group AI Engineering team and help build the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to agentic frameworks - designing and delivering secure, scalable, and ethical AI solutions that make a tangible business impact. The rewards • There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:, • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive 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. The hybrid working expectations for this role are 2 days in the office per week in Osterley or Livingston 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do • Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes., • Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed., • Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring., • Apply responsible AI practices to ensure solutions are fair, transparent, and ethical., • Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms., • Stay up to date with industry trends, tools, and best practices in AI engineering.What you'll bring, • Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK, • Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle., • Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment., • Understanding of cloud environments such as GCP, AWS, or Azure., • Strong analytical and problem-solving skills, with attention to performance and maintainability., • Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.Team overview We are seeking a talented AI Engineer to join our Group AI Engineering team and help build the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to agentic frameworks - designing and delivering secure, scalable, and ethical AI solutions that make a tangible business impact. The rewards • There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:, • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive 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. The hybrid working expectations for this role are 2 days in the office per week in Osterley or Livingston 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. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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.

Senior Civil Design Engineer Permanent Leeds, North England Competitive Salary + Car/Car Allowance + Flexible Benefits Summary: Are you an experienced Civil Engineer with a passion for civil engineering and the energy sector? Freedom Professional Services are seeking an individual with a strong technical expertise in a broad range of civil engineering disciplines to join our growing electricity transmission and distribution design team. With your strong technical expertise, you will be asked to lead the civil design of electricity substations across the UK from concept to completion and be able to work in close collaboration with other internal teams (electrical design, structural, surveys, wayleaves, cables, environmental), along with clients and stakeholders to ensure that all requirements are met. As a Senior Civil Engineer, you will have the opportunity to work on design frameworks for DNO’s, as well as design and build opportunities for high profile clients and iconic projects, ensuring that all work is completed to the highest standard. You will be involved in every aspect of the project, from planning and cost estimation to construction and quality control. Some of the key deliverables in this role will include: • Lead the production and review of engineering drawings engineering drawings, calculations, specifications, and reports for masonry buildings, steel portal frames, transformer bunds, drainage systems and roads, on projects ranging in construction contract value of £100K - £20M., • Collaborate with clients and internal teams to ensure the effective delivery of projects, providing updates and identifying issues that could risk programme, quality or cost., • Attend progress meetings as required at client/contractor offices or construction sites., • Attend design team meetings to ensure the timely flow and release of quality information and to ensure that this information corresponds with the scope of works., • Management of design risks to deliver buildable solutions., • Provide engineering solutions to site-based problems through TQ/RFI process., • Mentoring junior team members, providing technical guidance and promoting professional development, • A proven experience of working in a design environment for the construction of traditional masonry buildings, steel portal frames and reinforced concrete., • Experience in client-facing roles, with the ability to manage client relationships effectively, • Ability to lead delivery of multiple simultaneous technical projects in a challenging environment., • Strong communication skills to engage in technical discussions with colleagues, non-technical staff, and clients., • Strong commitment to ongoing professional development and continuous learning, • Experience working within the electricity distribution sector, particularly in substation design and electrical infrastructure, • Practical experience with AutoCAD, Revit and Civils3D for civil engineering design We are always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: • Competitive salary, • Car or Car allowance, • 25 days holiday plus Bank Holidays, • Pension with a leading provider and employer contribution, • Sick Pay, • Personal Wellbeing and Volunteer Days, • Private Medical Insurance, • Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice), • Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. LI-CN1#Freedom#LI-hybrid

Mobile Boiler Engineer London & South East Up to £58,000 + Package An excellent opportunity to join a well-established provider of mechanical and building services across London and the South East. Were looking for an experienced Mobile Boiler Engineer to carry out PPM, reactive maintenance, fault finding, and installations across a range of commercial and industrial sites. The Role: • Service, mainte... ZIPC1_UKTJ

Mobile Electrical Engineer FM Service Provider NW & W Postcodes- up to £44,000 + Package Are you a Mobile Electrical Engineer looking for a new challenge? Do you live in a postcode ofNW or W? Would you like to work for a leading Facilities Maintenance provider? An exciting opportunity for a Mobile engineer to join an established Building Services company based across parts ofNW & W postcode area... ZIPC1_UKTJ

Are you a Maintenance Engineer looking for work or know an engineer looking for work? I have multiple amounts of Electrical or Mechanical roles available in London. Must have FM & Maintenance experience. Static or Mobile. Electrical Maintenance Engineer Responsibilities include: PPM and reactive works Diagnose and repair faults on building services AHU's, FCU's Pumps, Motors Fans, Belt... ZIPC1_UKTJ

Service Engineer (Mechanical / Building Services)£42,000 - £45,000 + Overtime OTE 50k + Van + Healthcare + Funded Security ClearanceCroydon Are you a Mechanical Service Engineer from a Building Services background looking to cover a local patch with a fully funded company van, offering stability and ample overtime to boost your earnings? On offer is the chance to gain fully funded security clearance, enabling you to work in the highest Government offices, for a nationally renowned building services company. In this role, you will be covering a local area within a 1-hour radius of South London/Surrey, maintaining and servicing plant rooms within Government buildings. You will be given on-the-job training, as well as course enrolment to help you progress, including fully funded sponsorship for security clearance. Founded over 20 years ago, this company is looking to expand its team of engineers to relieve the current workload. They primarily work with government departments to maintain and service various areas of their buildings, priding themselves on their high-quality work. This role would suit somebody who has mechanical maintenance experience looking for a varied role working within a local patch, where they will be fully supported to gain security clearance.The Role: • Maintaining and servicing plant rooms, including pipes and pumps, • Assist other trades as and when required, • Covering a local patch across South London and Surrey, • Monday-Friday 8am-5pm, 40 hours a week, • Mechanical Service Engineer

Electrical Engineer - Up to £50,000 - City of London\n\nWe are excited to present an opportunity for the role of Electrical Engineer with a client facing firm in the City of London. If you or someone you know would be a great fit, please send your updated CV for more information.\n\nPosition: Electrical Engineer\nLocation: City of London\nSalary: Up to £50,000 Basic Salary + Private Medical Insurance\n\nAbout the Role:\nAre you an experienced electrical engineer ready for a new challenge? Join an established Client Side company and take your career to the next level!\n\nWe are seeking a qualified electrical engineer with a strong background in Facilities Maintenance and a proven track record in commercial environments. This role requires the candidate to be technically strong.\n\nKey Responsibilities:\n\nConduct building maintenance, including PPMs\nAbility to conduct RAMS & logbooks up to date\nComputer literate\nClient facing skills to communicate with the client\nTechnical knowledge in Facilities Maintenance.\nPackage & Benefits:\n\nCompetitive basic salary of up to £50,000 \nTraining Provided\nMonday - Friday, 8am to 5pm\nNo Callout\nLarge amounts of Overtime Available\nRequirements:\n\nLevel 3 & 17th Edition Electrical Qualifications (minimum).\nPrevious experience as a time-served engineer or lead.\n4+ years of experience in Building Services and commercial environment.\nQualified in Level 2/3 in a related electrical building services technical qualification.\nPaying up to £50,000 P/A & other company related benefits.\nIf you're eager to progress your career in a dynamic environment, we want to hear from you!\n\nLooking forward to your applications!\n\nThis role would be suitable; electrical engineer, site engineer, electrical maintenance engineer, lead engineer, site supervisor, technical supervisor, lead technician, shift leader, electrical supervisor, lead electrical technician, shift technician, M&E supervisor etc

Electrical Design Engineer (Building Services/Lighting Design) Harrow, England £55,000 - £75,000 + Training + Progression + Private Healthcare + Pension Are you an Electrical Design Engineer or similar with a background within the Building Services/MEP/Lighting Design/Low Voltage Power industry and/or a related field, having previous working experience using Pro-Design or a similar software, looking ... ZIPC1_UKTJ

MobilisationEngineer - FM Service Provider - Central London - Up to £50,000 An exciting opportunity to join an established building services company based in Central London has arisen! CBW Staffing Solutions is currently recruiting for a Mobilisation Engineer to be based in the London Office, whilst also attending sites that are being mobilised. He or she will be required to report to the Mobilisat... ZIPC1_UKTJ

Electrical Bias Building Services EngineerLocation: Canary WharfHours of Work: 7am to 7pm, 4 shifts on 4 shifts off A great opportunity for a Electrical Bias Building Services Engineer to join a leading building service provider's corporate team for a role working days at Canary Wharf. Job Summary: To main focus for the Electrical Bias Building Services Engineer will be to undertake maintenance t... ZIPC1_UKTJ

Mobile Maintenance Electrician (Building Services) Ealing £45,000 - £55,000 + Extensive Training + Progression to Quantity Surveyor + Company Van + Fuel Card Are you a Level 3 Electrical Engineer looking to step into building services, with the opportunity to be fully trained and developed into a Quantity Surveyor within a growing company? Do you want to work as a Mobile Electrician where you'll develop your technical skills while being supported through structured training into a more senior, commercial position? On offer is a clear progression pathway with full training provided to move into a Quantity Surveyor role. You'll gain hands-on experience across electrical maintenance and building services, alongside exposure to estimating, costing and project support, with full support to progress off the tools. In this role, you'll carry out planned and reactive maintenance across electrical and M&E systems within commercial sites, including fault finding, repairs and compliance work. You'll also support project and commercial activities, working closely with clients and internal teams. The ideal Electrical Engineer will be Level 3 qualified Electrician with 18th Edition wiring regulations, with experience in building services or M&E environments. Any knowledge of HVAC or basic plumbing is highly beneficial. You'll be a proactive problem solver with strong communication skills and a genuine interest in progressing into a Quantity Surveying role. A full UK driving licence is required. The Role:* Electrical & M&E maintenance across commercial sites * Fault finding, repairs and compliance support * Training into estimating, costing and Quantity Surveying The Person:* Level 3 Electrical qualification + 18th Edition Wiring Regulations * Interest in progressing into Quantity Surveying * HVAC / Building Services knowledge beneficial * Full UK driving licence Reference Number: BBBH23782H3 Keywords: Electrical Maintenance Engineer, Mobile Electrical Engineer, Building Services Engineer, M&E Engineer, Electrical Building Services, Facilities Maintenance Engineer, Level 3 Electrical Installation, 18th Edition Wiring Regulations, 2391-52 Inspection and Testing, Electrical Fault Finding, Planned Preventative Maintenance (PPM), Reactive Maintenance, Electrical Installation and Repairs, Building Services, Mechanical and Electrical (M&E), HVAC Systems, Commercial Buildings, Facilities Management, Compliance, Health and Safety, MEP Systems, Training Provided, Career Progression, Quantity Surveyor Training, Off the Tools, Commercial Progression, Estimating and Costing, Project Support, Problem Solving, Communication Skills, Team Player, Self-Motivated, Client-Facing If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job is not quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Mechanical Service Engineer (Building Services) £42,000 - £45,000 + Overtime OTE 50k + Van + Healthcare + Funded Security Clearance Sutton Are you a Mechanical Service Engineer from a Building Services background looking to cover a local patch for a renowned company, offering fully funded security clearance, ample training and overtime to increase your earning potential? In this role, you will be co... ZIPC1_UKTJ

The Lead Engineer/Supervisor is responsible for overseeing the day-to-day engineering operations and maintenance activities at a client facility in London Shoreditch Key Responsibilities Technical Leadership & Operations The Lead Engineer supervises all mechanical, electrical, and building services operations, ensuring systems operate efficiently and reliably. This includes managing planned preventat... ZIPC1_UKTJ

Static AC Engineer - Victoria, London Hill McGlynn is proud to be recruiting on behalf of a well-established and growing building services contractor for an experienced Static AC Engineer to join their team on a static site in Victoria, London. This is an excellent opportunity for a skilled engineer looking for stability, strong earning potential, and long-term career progression. Salary & Packa... ZIPC1_UKTJ

Electrical Engineer – London, Liverpool Street Permanent – Monday to Friday Salary £43,500 - £47,000 + Overtime + Private healthcare and Flexible Benefits Summary At NG Bailey, we don’t just maintain buildings — we make them work seamlessly. We're a leader in delivering high-quality building services, and we're looking for a passionate Electrical Maintenance Technician to join our team at Liverpool Street. This is a fantastic opportunity to take ownership of electrical and mechanical systems in a fast-paced, dynamic environment. With us, you’ll have the chance to grow, develop your skills, and play a key role in delivering outstanding service to our prestigious client. Some of the key deliverables in this role will include: As an Electrical Maintenance Technician, you'll be at the heart of our operations, ensuring that everything works like clockwork. Your day-to-day responsibilities will include: • Hands-On Maintenance: Perform electrical and mechanical fault finding, repairs, and installations across the building’s systems. You'll be solving real problems every day and keeping the systems running smoothly., • PPM Excellence: Carry out Planned Preventative Maintenance (PPM) on electrical and mechanical systems, ensuring everything meets statutory and client standards., • LVAP Duties: As a Low Voltage Authorised Person (LVAP), you’ll maintain the building’s power, lighting, and distribution systems. You’ll also perform PPM duties to ensure ongoing efficiency and safety., • Reactive Maintenance: Take charge of reactive issues, fixing problems quickly to keep everything operating without interruptions. We want someone who thrives in a hands-on role and enjoys working with a variety of systems and challenges. You’ll need to have: • Experience: Previous experience as an Electrical Maintenance Technician, ideally within building services, with a proven ability to maintain both electrical and mechanical systems., • Qualifications:, • City & Guilds Part 1 & 2 / AM1 / AM2 (or equivalent), • Level 2 or 3 Electrical Qualification, • 18th Edition Wiring Regulations, • LVAP Certification (Essential), HVAP Certification (Desirable) When you join NG Bailey, you’re not just joining any team – you’re joining a group of passionate, skilled professionals who love what they do. We offer plenty of opportunities to develop your career, work on exciting projects, and grow with us. Plus: • 25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days, • Pension with a leading provider and up to 8% employer contribution, • Personal Wellbeing and Volunteer Days, • Private Medical Insurance, • Life Assurance, • Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. #LI-AX1#LI-onsite

Suitable for: HVAC Service Engineer, Air Conditioning Engineer, Mobile Service Engineer, Refrigeration & Air Conditioning Engineer, Building Services Engineer Overview & Role An established HVAC contractor is looking to appoint an experienced Mobile Air Conditioning Service Engineer to support its growing London operation. The role covers Central London and surrounding areas, working across a techni... ZIPC1_UKTJ

HVAC Engineer\n Location: London & Home counties (field-based)\n Salary: £48,000 - £55,000 (DOE) + Overtime & Call-Out (OTE £60k+)\n Benefits: Company van, fuel card, paid travel time, overtime, call-out allowance, pension, 25 days holiday + bank holidays\n Contract: Permanent, Full-Time\n\nA well-established building services and facilities management contractor is looking to recruit an experienced HVAC Engineer to join their growing London team, supporting a portfolio of commercial and industrial sites.\n\nThis is an excellent opportunity for a skilled engineer to join a stable business offering consistent work, strong earning potential, ongoing training, and genuine progression routes.\n\nThe Role\n\nCarrying out PPM and reactive maintenance across a range of HVAC systems\nFault-finding on electrical, mechanical, and refrigeration components\nServicing and maintaining: \nSplit & multi-split systems\nVRV / VRF systems\nAHUs, FCUs, and ventilation equipment\nHeat pumps and chillers (where applicable)\nLeak detection, pressure testing, evacuation, and recharging systems\nCompleting service reports and F-Gas compliance documentation\nLiaising with clients and internal teams to ensure smooth delivery\nWorking in line with F-Gas and Health & Safety regulations\nTaking part in an on-call rota (typically 1 in 6 / 1 in 8)\n\nWhat We're Looking For\n\nEssential:\n\n3+ years' experience as an HVAC / AC Service Engineer\nF-Gas Category 1\nStrong diagnostic and fault-finding skills\nGood understanding of HVAC electrical and mechanical systems\nFull UK driving licence\nComfortable working independently across multiple sites \n\nDesirable:\n\nNVQ Level 2/3 or City & Guilds in Refrigeration & Air Conditioning\nExperience with chillers, heat pumps, or ventilation systems\n18th Edition (BS7671)\nIPAF / PASMA\n\nWhat's on Offer\n\nCompetitive basic salary up to £55,000\nRealistic OTE £60k+ with overtime and call-out\nPaid travel time\nOngoing manufacturer training and development\nLong-term job security within a growing business\n\nInterested?\n\nIf you're an experienced HVAC Engineer looking for a well-paid London role with strong earning potential and stability, apply today.\n\nAlecto Recruitment Limited is acting as an employment business for this vacancy. Due to high application volumes, only shortlisted candidates will be contacted.\n\nKeywords:\n\nHVAC Engineer London, Air Conditioning Engineer London, HVAC Service Engineer London, AC Engineer London, Refrigeration Engineer London, VRV Engineer London, VRF Engineer London, Facilities Management HVAC\n\nINDAV