Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality. Key Responsibilities Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation. Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments. Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components. Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements. Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs. Knowledge, Skills & Experience Degree in Computer Science, Data Engineering, or a related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation, and data processing. Experience developing and integrating REST APIs for data services. Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms. Experience with Infrastructure as Code tools such as Terraform or ARM templates. Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts. Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor). Desirable Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps). Knowledge of cloud cost optimisation for data platforms. Understanding of data governance and regulatory compliance (eg, GDPR). Experience working in regulated or professional services environments.
May 05, 2026
Full time
Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality. Key Responsibilities Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation. Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments. Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components. Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements. Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs. Knowledge, Skills & Experience Degree in Computer Science, Data Engineering, or a related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation, and data processing. Experience developing and integrating REST APIs for data services. Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms. Experience with Infrastructure as Code tools such as Terraform or ARM templates. Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts. Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor). Desirable Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps). Knowledge of cloud cost optimisation for data platforms. Understanding of data governance and regulatory compliance (eg, GDPR). Experience working in regulated or professional services environments.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
May 05, 2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
Lead Software Engineer Up to £90,000 per annum plus bonus Milton Keynes (Twice a week on site) VIQU have partnered with a growing SaaS organisation who are hiring a Lead Software Engineer to play a key role in shaping technical direction of the product whilst leading a team of five software engineers. The is very much a player coach role (30% management, 70% architecture/coding), and is an opportunity to shape engineering standards at a company at a pivotal point in their growth, having an influence over the technical strategy whilst remaining hands on. Experience required: Background in modern .NET/C# development & architecture. A track record of leading and mentoring teams of engineers. Cloud experience with AWS (Lambda, S3, SNS, API Gateway, and event-driven architecture). Experience with React/ Angular. Experience with testing frameworks and quality engineering practices (unit & integration testing and test driven development). Experience building and maintaining CI/CD pipelines. Previously implemented AI driven coding efficiencies within teams. Knowledge of Docker and containerised applications. Hands on experience with serverless cloud architecture would be a nice to have. Duties of the Lead Software Engineer Lead a team of 5 engineers within a scaled agile environment. Conducting code and architecture reviews to maintain consistency, quality, and maintainability whilst remaining hands on in the code. Embedding robust testing practices (TDD, integration testing, BDD) and driving automation across regression suites. Design and architect solutions using CQRS (Command Query Responsibility Segregation) and event-driven architecture patterns. Working within AWS (Lambda, API Gateway, IAM, event-based services). Exploring and introducing AI related efficiencies. Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed) Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment
May 05, 2026
Full time
Lead Software Engineer Up to £90,000 per annum plus bonus Milton Keynes (Twice a week on site) VIQU have partnered with a growing SaaS organisation who are hiring a Lead Software Engineer to play a key role in shaping technical direction of the product whilst leading a team of five software engineers. The is very much a player coach role (30% management, 70% architecture/coding), and is an opportunity to shape engineering standards at a company at a pivotal point in their growth, having an influence over the technical strategy whilst remaining hands on. Experience required: Background in modern .NET/C# development & architecture. A track record of leading and mentoring teams of engineers. Cloud experience with AWS (Lambda, S3, SNS, API Gateway, and event-driven architecture). Experience with React/ Angular. Experience with testing frameworks and quality engineering practices (unit & integration testing and test driven development). Experience building and maintaining CI/CD pipelines. Previously implemented AI driven coding efficiencies within teams. Knowledge of Docker and containerised applications. Hands on experience with serverless cloud architecture would be a nice to have. Duties of the Lead Software Engineer Lead a team of 5 engineers within a scaled agile environment. Conducting code and architecture reviews to maintain consistency, quality, and maintainability whilst remaining hands on in the code. Embedding robust testing practices (TDD, integration testing, BDD) and driving automation across regression suites. Design and architect solutions using CQRS (Command Query Responsibility Segregation) and event-driven architecture patterns. Working within AWS (Lambda, API Gateway, IAM, event-based services). Exploring and introducing AI related efficiencies. Apply now to speak with VIQU IT in confidence. Or reach out to Jack McManus via the (url removed) Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment
Lead Software Engineer / Developer (Ruby TypeScript React) London / Remote to £130k Are you a polyglot Software Engineer with Developer Experience, API / SDK development skills? You could be joining a highly regarded provider of serverless real-time infrastructure for the Internet that processes billions of messages a day and powers everything from live chat and VoIP calls to real-time pricing and stock availability for a multitude of services around the globe. As a Lead Software Engineer you'll own the technical strategy and architecture for one or more Developer Ecosystems (iOS, Web, Infra/Automation), define and drive best practices for API and SDK design, ensuring consistency, usability and scalability and lead complex, cross-team initiatives to expand and improve client libraries. You'll oversee the full development lifecycle, from design through to release, maintenance and product evolution, mentoring more junior engineers and reviewing contributions, raising the technical bar across the team. You'll also guide and manage external contributors and open-source collaboration and act as a key interface with the developer community, incorporating feedback into product direction. Location / WFH: You can work from most of the time, collaborating via Slack and meeting up with the team at the dog friendly office in North London for tech talks, lunch and learn events etc. around once a month. About you: You're a senior software engineer with experience of building developer tooling and APIs You have strong hands-on experience with Ruby, TypeScript and React You have experience within a product focussed B2B SaaS environment You have experience of making technical decisions that drive projects and raise the bar You're comfortable with AI tools such as Claude and Cursor and understand how they can be used to optimise processes You're customer and product focussed You're collaborative and pragmatic with experience of technically leading and mentoring others You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns What's in it for you: As a Lead Software Engineer / Developer you will earn a competitive salary package including: Salary to £130k EMI share option scheme 28 days annual leave Enhanced maternity and parental leave packages Your choice of kit and home-station set up Personal learning and development budget (£1000 p/a + 5% time to work on your own projects) BUPA Health Insurance + dental costs + mental health and wellness Pension, Life Assurance, Income Protection Fully paid one month sabbatical at five years' service Gym subsidies, Cycle to work scheme and more Apply now to find out more about this Lead Software Engineer / Developer (Ruby TypeScript React) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
May 05, 2026
Full time
Lead Software Engineer / Developer (Ruby TypeScript React) London / Remote to £130k Are you a polyglot Software Engineer with Developer Experience, API / SDK development skills? You could be joining a highly regarded provider of serverless real-time infrastructure for the Internet that processes billions of messages a day and powers everything from live chat and VoIP calls to real-time pricing and stock availability for a multitude of services around the globe. As a Lead Software Engineer you'll own the technical strategy and architecture for one or more Developer Ecosystems (iOS, Web, Infra/Automation), define and drive best practices for API and SDK design, ensuring consistency, usability and scalability and lead complex, cross-team initiatives to expand and improve client libraries. You'll oversee the full development lifecycle, from design through to release, maintenance and product evolution, mentoring more junior engineers and reviewing contributions, raising the technical bar across the team. You'll also guide and manage external contributors and open-source collaboration and act as a key interface with the developer community, incorporating feedback into product direction. Location / WFH: You can work from most of the time, collaborating via Slack and meeting up with the team at the dog friendly office in North London for tech talks, lunch and learn events etc. around once a month. About you: You're a senior software engineer with experience of building developer tooling and APIs You have strong hands-on experience with Ruby, TypeScript and React You have experience within a product focussed B2B SaaS environment You have experience of making technical decisions that drive projects and raise the bar You're comfortable with AI tools such as Claude and Cursor and understand how they can be used to optimise processes You're customer and product focussed You're collaborative and pragmatic with experience of technically leading and mentoring others You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns What's in it for you: As a Lead Software Engineer / Developer you will earn a competitive salary package including: Salary to £130k EMI share option scheme 28 days annual leave Enhanced maternity and parental leave packages Your choice of kit and home-station set up Personal learning and development budget (£1000 p/a + 5% time to work on your own projects) BUPA Health Insurance + dental costs + mental health and wellness Pension, Life Assurance, Income Protection Fully paid one month sabbatical at five years' service Gym subsidies, Cycle to work scheme and more Apply now to find out more about this Lead Software Engineer / Developer (Ruby TypeScript React) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
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.
May 05, 2026
Full time
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. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
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. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
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. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
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. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
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. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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.
