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Technical Graduate 2026 Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a CGI Technical Graduate you'll be trusted with responsibility from the start. Whether you're developing full-stack applications, engineering data pipelines, designing cloud infrastructures, or analysing data for insights, your work will contribute directly to impactful projects across multiple industries. You'll have the opportunity to work on complex software systems, drive digital transformation, and implement cutting-edge technologies that make a real difference. Your future duties and responsibilities In this role, you'll apply your STEM expertise to help shape industries, improve services, and create meaningful societal change by harnessing the power of technology to drive innovation. You will:Design, develop, and test technical solutions for live projects across various sectors such as Government, Energy & Utilities, Retail Oil & Gas, Health, Financial services, and ManufacturingCollaborate with cross-functional teams to solve complex real-world challenges. Explore and apply emerging technologies in areas such as AI, cloud, data analytics and IoT. Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role. Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles are available in London, Leatherhead, Chippenham, Reading, Bristol, Gloucester, Manchester, Aberdeen, , Belfast, Bridgend, , Edinburgh, , Glasgow, Leicester, Liverpool, Newcastle, , Leeds, Nottingham, Solihull, Telford. As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. You should have:A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency).Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - Engine careers page - We're looking for Engineers who can lead and inspire teams, collaborating to spearhead the development of the Engine platform for clients all over the world. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in some case studies, below, and our work with Women in Tech . Running a Backend Team Day in the Life of a Software Engineer Check out our shiny new Engineering careers page As a Staff Engineer you will: Coach, mentor, and grow a high-performing team, ensuring their well-being as they work on high-impact solutions that bring value to Engine and our customers. Have the opportunity to lead multiple complex projects from inception through to run Get hands-on when needed, using your strong system design skills to help the team make smart architectural decisions and unblock complex challenges. Take ownership of technical challenges critical to the success of the business Identify where existing tooling, applications, or processes can be enhanced and deliver innovative change Collaborate with clients, solution architects, product owners, and other engineers to help meet the client goals Obtain a wide and varied understanding of how banks operate around the world Shape the future capabilities of Engine, including our approach, tooling, automation and architecture. Lead by example in your contributions to the codebase, setting a high bar for others to aim for Champion a healthy engineering culture built on continuous improvement, technical excellence, and a focus on the customer. As an Engineer you will: Contribute to our award winning platform and internal tooling Build new features and products from scratch in a configurable way Share your knowledge with those around you, contributing to our learning culture Own your projects, working in small teams across the bank to collaboratively deliver Aim for greatness in everything you do, staying curious and inquisitive Be part of a scaling team and organisation as we change banking for good Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We are very open about how we deliver software. For the most part we code in Java, but you need not be an expert when you join us! We believe in clean coding, simple solutions, automated testing and continuous deployment. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis. As a Staff Engineer you will bring the below experience or knowledge: Proven experience leading and mentoring high-performing engineering teams. Delivering change to critical systems in a distributed environment Be a highly proficient developer, maintaining a high standard for technical and coding excellence in the collective, through your own work Good understanding of DevOps practices Delivering complex outcomes across multiple domains and teams Working cross-functionally with technologists from other specialties, and non-technical stakeholders across the business Coaching and mentoring members of a team to upskill and develop them in their career Leading the technical delivery on large scale projects to successful completion The main part of our Backend Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with a Staff or Principal Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical & Leadership interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO / Engineering Director / Principal Engineer 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information. Requirements Benefits

About the Trust We're one of the UK's biggest charities and we care for 2,000 miles of canals, rivers, docks and reservoirs because we believe life is better by water. We're looking for people who support our cause and want to make a difference for future generations. Could this be you? Along with our waterways we also manage museums, archives and the country's third largest collection of historic buildings, as well as the nature and wildlife that calls our canals home. All of this enables us to provide wellbeing opportunities for millions of people each year. Join Our Team: Head of Culture and Inclusion Navigate your future and lock in your career as we keep our canals open and alive Our Head of Culture and Inclusion will join our team with a specific lens on cultural transformation which is key in relation to supporting our Trust vision and strategy. This role reports directly into the People Director and will be a member of the People Leadership team having one direct report (Inclusion & Diversity Manager). Working Hours & Travel This role follows 37 hours, 5 days a week, work pattern. This is a home based role, with UK wide travel to key sites. Role Overview In this pivotal role, you will be responsible for turning strategy into delivered outcomes through evidence-led programmes, strong governance, and clear accountability across leaders and teams. You will measurably strengthen an inclusive, high trust culture that enables performance and wellbeing; to increase colleague voice and engagement; and to ensure your Inclusion & Diversity ambitions translate into sustained behavioural change and business impact. Key Responsibilities: Lead the development and delivery of a clear Culture & Inclusion strategy that embeds inclusion, belonging and fairness across the organisation. Drive a culture of continuous improvement, ensuring inclusive behaviours, practices and decisions are actively reviewed, measured and evolved Build and sustain trusted relationships with senior leaders, Boards and key stakeholders to influence inclusive leadership and organisational change. Partner across the organisation to ensure culture and inclusion priorities are integrated into resourcing, talent, learning, performance and reward frameworks. Operate credibly across fast paced, complex environments, balancing strategic focus with pragmatic delivery under pressure. Champion inclusive, values led behaviours at all levels, adapting communication and influence to engage diverse audiences and workforce groups. Use insight, data and qualitative feedback to assess cultural health and inclusion outcomes, translating findings into actionable improvement plans. Ensure strong governance, planning and prioritisation of Culture & Inclusion initiatives to deliver impact with pace and consistency. Act as a visible advocate for equality, diversity and inclusion, supporting leaders and teams to role model inclusive practices and decision-making. About You You are an experienced culture transformation lead with demonstrable proven outcomes which have driven cultural change and made significant business impact. Confident influencing at all levels, you combine commercial awareness with a passion for belonging, fairness and continuous improvement. Experience and Skill: Demonstrable evidence of building and delivering multi-year culture and inclusion and diversity roadmaps with measurable outcomes in complex organisations. Demonstrated mastery of listening and insight methodologies, including survey design, driver analysis, segmentation and workforce lifecycle analytics, translating insight into clear, actionable priorities. Deep expertise in inclusive leadership and systemic inclusion levers across policy, process, behaviours and environment, with a strong bias toward practical education, habit change and sustainable impact. Proven experience designing governance frameworks, KPIs and benefits realisation measures, with regular reporting and assurance to Executive teams and Boards. Confident and compelling communicator, able to craft simple, engaging narratives from complex data and influence effectively across senior stakeholders. Strong credibility and lived experience working in partnership with colleague networks and communities, ensuring authentic representation, trust and meaningful engagement. Contact & Application If you would like more information or a briefing pack, please get in touch with the recruitment team at . We encourage early applications as we may close the vacancy once we receive enough suitable candidates. What We Offer This is a middle manager role with a package commensurate. Learn more: Our values We care passionately for our waterways, and as importantly, for those who look after and use them. We are committed to building a diverse and inclusive workforce where everyone can thrive. We are striving to represent the diverse communities that we are a part of and welcome applicants from across all sectors of the community. We want everyone to have the opportunity to perform at their best during our recruitment process. If you require any reasonable adjustments - whether for a disability, neurodiversity, or health condition - please let us know what you need and how we can support you. We'll work with you to make any necessary changes. All of our jobs can be considered on a part time, flexible or job share basis. We operate a Guaranteed Interview Scheme for disabled applicants who meet the minimum criteria for the role. You are considered disabled under the Equality Act 2010 if you have a physical or mental impairment that has a substantial and long-term negative effect on your ability to carry out normal day-to-day activities. We recognise not everyone who is classified as disabled under the Equality Act personally identifies this way, or with this definition of disability. Please do not let this discourage you from applying under the scheme. At Canal & River Trust, we are committed to fair, transparent, and ethical recruitment practices. As part of our hiring process, we may use AI to analyse applications and support us work more efficiently. However, all hiring decisions - without exception - are made by our hiring managers. Navigate your future and lock in your career as we keep our canals open and alive. Find out more about us on our website: To apply, please visit our website via the button below.

Job Title: Sales Development Representative Salary: £26k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £26k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Job Title: Sales Development Representative Salary: £26k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £26k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Job Title: Sales Development Representative Salary: £28k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £28k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Job Title: Sales Development Representative Salary: £28k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £28k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Job Title: Sales Development Representative Salary: £26k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £26k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Job Title: Sales Development Representative Salary: £28k basic + OTE Sector: Software Our client has delivered field Management software for almost thirty years, with offices across the UK and Asia. They've entered an exciting growth phase in key markets, and are looking for a number of graduates to join a brand new team! If you're looking to embark on a lucrative career where the reward reflects your effort, this is the opportunity for you! Benefits : A competitive basic salary of £28k, with OTE takes your package higher Fantastic, modern head offices centrally located Excellent progression, learning and development potential - through to leadership, senior Sales or product Team socials in a welcoming, inclusive environment Lucrative bonus and incentive schemes Healthcare and Pension Flexible, hybrid working available Role : Develop a comprehensive understanding of the company's software suite and internal processes Generate demand with customers, producing qualified sales opportunities Cultivate long-term relationships with businesses, mapping out potential business with fresh prospects Book software demonstrations through outbound calling, LinkedIn outreach, emailing and other channels Learn and enjoy mentorship from senior sellers on best practice and strategy Manage your leads pipeline and tracking effectively Requirements: Degree educated - but this is not necessary, as long as you can readily demonstrate commercial understanding Excellent relationship building and communication skills befitting a Salesperson Excellent verbal and written communication skills Comfortable working in a fast-paced environment Capable working independently and proactively, and a quick learner Resilient and highly organised Must have a Driving Licence and a Car Pareto is committed to promoting equality, diversity and inclusion. We encourage and welcome applications from all, irrespective of background or circumstance. Our consultants are happy to discuss any adjustments you require in support of your application.

Technical Graduate 2026 - Space Defence & Intelligence Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a Technical Graduate in our Space, Defence & Intelligence business unit, you'll contribute to projects that protect national interests, advance space discovery and deliver intelligence solutions that matter. From your very first day, you'll be trusted to take ownership, think creatively and be supported by experts who will help you build the skills to define your career. Your future duties and responsibilities In this role, you'll apply your STEM expertise to projects that keep the UK and its global partners secure. You will:Design, develop, and test technical solutions for live projects.Collaborate with cross-functional teams to solve complex real-world challenges.Explore and apply emerging technologies in areas such as cyber, cloud, space, and mission systems.Support secure systems that underpin the UK's national infrastructure.Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role.Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles in our Space, Defence and Intelligence area are available in London, Leatherhead, Chippenham, Reading, Bristol , Gloucester and Manchester . As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Why Choose CGI's Space, Defence and Intelligence? For nearly 50 years, CGI has been a key player in Space, Defence & Intelligence, trusted by governments and global organizations to deliver solutions that drive innovation and protect critical infrastructure. You'll be working on some of the most exciting projects in the world, including: Satellite Navigation Systems: Helping develop the European Space Agency's Galileo system, providing critical positioning services to millions worldwide. Military Communications & Cybersecurity: Working with the UK Ministry of Defence for over 40 years. Developing secure networks to safeguard national security. Space Exploration & Environmental Monitoring: Partnering with NASA and other agencies to contribute to earth observation satellites that monitor climate change.Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. Due to the sensitive nature of projects within the Space, Defence and Intelligence sector, candidates must meet security clearance requirements. All applicants must typically have 5 to 10 years of continuous residency in the UK, and be a UK national holding only a UK passport. You should have:A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency).Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.