Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our click apply for full job details
Jan 28, 2026
Full time
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our click apply for full job details
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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: Large Language Models (LLMs) Vector databases and semantic search Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards 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.
Jan 28, 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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data Optimise relevance, latency, and response quality for interactive UI components Evaluate and improve models using real-world feedback, analytics and experimentation Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications Contributes to system architecture, model selection, and deployment strategies Provides technical guidance and mentorship to junior members of the engineering team Participates in Scrum / agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding of: Large Language Models (LLMs) Vector databases and semantic search Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus: PhD in related subjects Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards 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.
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.CSR:We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you
Jan 28, 2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Select your locationSelect your locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Manchester, Glasgow, London# Enterprise Data & Analytics - Analytics and Insights - Consultant# Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR ROLEJoin a dynamic and growing team of analytics and AI specialists united by a mission to deliver end-to-end transformations that drive tangible business value. As an Analytics and Insights Consultant you will contribute to flagship projects, influence enterprise transformation, and execute innovative solutions to address the complex challenges of our clients.In this role you will play a key role in: Leading & contributing to scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. Modernising data and platforms: Provide advisory and hands-on support for transforming legacy data platforms, including data engineering and platform configuration. Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful Gen AI/BI, WebApps and data products interfaces, leveraging UI/UX design frameworks and user acceptance testing (UAT) processes. Measuring the impact of AI: Apply methodologies such as business KPI frameworks, performance analytics and graph analytics to implement, monitor, and demonstrate the business value of AI-infused products & insights.This role also provides opportunities to contribute to the broader business through: Business Development - Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal Contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILEWe are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal candidate will demonstrate most or all of the following:Consulting Experience: Currently working in a major Consulting firm or in industry with a Consulting background, with solid foundation of technical expertise and project delivery experience. Comfortable managing stakeholders and working across various stages of End-to-End Analytics / AI Transformation or Large-scale Deployments / Technology Implementation Programmes. Demonstrate capability in agile methodologies and project governance tools and artifacts for product delivery. Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI. A passion that is contagious for your chosen Industries.Analytical Skills: Hands-on experience in: Data modelling, statistical analysis, machine learning or advanced analytics with solid experience delivering best practice data models within an organisation Proficient in using frontend BI tools to create dashboards and interactive visual reports (such as Power BI, Tableau, Qlik or Looker) to provide advisory and solutions to real-world data complications faced by our clients.Analytics technologies: Hands-on experience in at least two of the following: Power Platform, with a focus on Power Apps (Canvas and Model-Driven) and Dataverse. Experience with Copilot Studio experience is a plus. Programming languages such as Python, R or SQL. Cloud platforms experience such as AWS, Azure or GCP. Enterprise data solutions (e.g. Microsoft Fabric, Databricks, Snowflake, Informatica ). Stakeholder Management and Presentation Skills: Evidence of effective stakeholder management to address business challenges, storytelling, and presentation skills, with a track record of helping clients better understand and extract value from their data.Project Management Skills: Experience managing data-led projects using governance tools and delivery artifacts such as JIRA, Confluence or Miro, and practical experience with agile methodologies such as Scrum, Kanban, or SAFe frameworks. Security Clearance Eligibility: Must be eligible for SC clearance.And experience in at least one of the following: Product Ownership: Proven experience in managing and delivering data-driven products and platforms, defining roadmaps, prioritising features, managing backlogs, and aligning cross-functional teams to deliver scalable analytics and AI solutions. Data Modelling & Transformation skills: Hands-on experience in transforming and wrangling data to build scalable data models that generate automated insights. Solution Architecture: Familiarity with feature sets of one or more Data & AI Platforms such as Microsoft Fabric, Databricks or Informatica.Desirable Skills: Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis. Experience using Gen AI tools such as LangChain and Model Context Protocol (MCP) to demonstrate how Gen AI / BI can unlock business value. Experience in ingestion, integration, data engineering, data quality and observability, dataset identification. Experience in business case development and financial modelling. Experience supporting client proposals, RFPs, bids and proposition development.At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.CSR:We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. Whilst you
Senior PHP Developer (Laravel) Swindon (Hybrid - 3 days per-week) 50,000 - 60,000 + Bonus + Progression + Pension An excellent opportunity awaits an experienced PHP Developer to join a growing, technology-first B2B business. This role offers strong technical variety, and clear progression opportunities to progress into a team or technical leadership role. This company is an established but expanding B2B business, with technology as its key differentiator they're looking to further grow and diversify their SaaS solutions offering. In this role, you'll take ownership of both new and existing systems, including maintaining legacy code where required. You'll be hands-on across Laravel applications, APIs, and third-party integrations, working as part of a multidisciplinary team as the platform grows. As a smaller but scaling business, you'll have real influence over the product, codebase, and technical direction long term. This role is hybrid based 3 days per week in the Swindon office. The ideal candidate will have strong experience with Laravel and PHP across the full stack. The right person will have full-stack development experience, strong databased experience (SQL) and preferably cloud experience (AWS, Azure, or GCP). This role suits an experienced developer looking for a role where they can transition to a Lead Developer position in the short to medium term. This is a great opportunity for a Senior PHP Developer looking for ownership over development and direction in a role that offers support, progression, and development opportunities. The Role: Take ownership of new and existing systems, including legacy code, with responsibility for how they evolve Lead the hands-on development of a growing software suite across Laravel, APIs, and third-party integrations Contribute to and shape technical decisions around product direction, scalability, and architecture Hybrid role based in Swindon, with a minimum of 3 days per week in the office The Person: Strong commercial experience with PHP and Laravel, comfortable owning and improving existing systems Full-stack developer with solid SQL/database experience; cloud exposure (AWS, Azure, or GCP) is beneficial Looking for a senior role with real ownership and a clear path into Lead Developer responsibility Based within commutable distance of Swindon with full UK right to work Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Jan 28, 2026
Full time
Senior PHP Developer (Laravel) Swindon (Hybrid - 3 days per-week) 50,000 - 60,000 + Bonus + Progression + Pension An excellent opportunity awaits an experienced PHP Developer to join a growing, technology-first B2B business. This role offers strong technical variety, and clear progression opportunities to progress into a team or technical leadership role. This company is an established but expanding B2B business, with technology as its key differentiator they're looking to further grow and diversify their SaaS solutions offering. In this role, you'll take ownership of both new and existing systems, including maintaining legacy code where required. You'll be hands-on across Laravel applications, APIs, and third-party integrations, working as part of a multidisciplinary team as the platform grows. As a smaller but scaling business, you'll have real influence over the product, codebase, and technical direction long term. This role is hybrid based 3 days per week in the Swindon office. The ideal candidate will have strong experience with Laravel and PHP across the full stack. The right person will have full-stack development experience, strong databased experience (SQL) and preferably cloud experience (AWS, Azure, or GCP). This role suits an experienced developer looking for a role where they can transition to a Lead Developer position in the short to medium term. This is a great opportunity for a Senior PHP Developer looking for ownership over development and direction in a role that offers support, progression, and development opportunities. The Role: Take ownership of new and existing systems, including legacy code, with responsibility for how they evolve Lead the hands-on development of a growing software suite across Laravel, APIs, and third-party integrations Contribute to and shape technical decisions around product direction, scalability, and architecture Hybrid role based in Swindon, with a minimum of 3 days per week in the office The Person: Strong commercial experience with PHP and Laravel, comfortable owning and improving existing systems Full-stack developer with solid SQL/database experience; cloud exposure (AWS, Azure, or GCP) is beneficial Looking for a senior role with real ownership and a clear path into Lead Developer responsibility Based within commutable distance of Swindon with full UK right to work Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
About Cryptio We're Cryptio. We build infrastructure to bring financial integrity to the crypto economy. Our platform powers back-office and data workflows for institutions, corporates, and crypto-native organisations. Trusted by Circle, Uniswap, and the Government of El Salvador, we've raised $26m from tier-1 investors (Point Nine, 1kx, Tim Draper, Alven, Ledger Cathay). The opportunity We're hiring a Rust Engineer to our Accounting squad, where you'll drive the technical development powering cost basis and PnL computations, staking, derivatives, accruals, and high-volume reporting pipelines. In this role, you'll tackle complex accounting challenges at the forefront of digital assets and traditional finance. You'll build the backbone for regulatory compliance, reporting, and audit readiness in the crypto sector, making a measurable impact for the world's most innovative financial players. Key technologies Rust (with a focus on performance and scalability) TypeScript (key dependencies: Nest.js, Zod, Slonik) PostgreSQL, Cassandra, ClickHouse Kubernetes on AWS, Docker, GitLab, Pulumi What you'll do Drive the development of core systems for Cryptio's SaaS accounting platform, ensuring robust and scalable customer workflows Architect, optimise, and maintain data-heavy solutions for financial reporting, reconciliation, and ledger automation Collaborate with staff engineers, product, and other teams to deliver features aligned with customer and business needs Identify, troubleshoot, and proactively resolve performance issues at scale Mentor and support the growth of engineers across the squad Contribute to codebase reliability by documenting best practices and enabling knowledge sharing across the company We're looking for someone who Has experience building and shipping production software Is comfortable working with Rust and eager to deepen their expertise in it Has hands-on experience (or a strong interest in learning) TypeScript and frameworks like Nest.js, Zod, or Slonik Is curious about crypto and accounting, or brings relevant domain experience Enjoys working on high-performance systems and diving into technical challenges involving large datasets Has worked with (or is open to learning) OLAP databases such as ClickHouse, as well as PostgreSQL Communicates clearly in English and values working collaboratively with others Is interested in mentoring, sharing knowledge, and growing with the team Approaches problems analytically and is passionate about building future finance infrastructure in crypto Why you'll love this role Own the development of mission-critical infrastructure in a fast-evolving industry Collaborate with a team of highly skilled engineers and cross-functional partners Work with cutting-edge technologies in cloud-native, data-heavy environments (Rust, TypeScript, ClickHouse, AWS) Freedom to experiment and drive architecture decisions impacting the entire product 100% remote role, with opportunities to visit our hubs in Paris and London Competitive salary and full benefits package - see our careers page for details Interview process Talent Screen - 30 min Technical Interview - 60 min Team interview - 45 min CTO interview - 45 min Offer Ready to shape the technical core of finance for the crypto economy? We'd love to hear from you. - Cryptio
Jan 28, 2026
Full time
About Cryptio We're Cryptio. We build infrastructure to bring financial integrity to the crypto economy. Our platform powers back-office and data workflows for institutions, corporates, and crypto-native organisations. Trusted by Circle, Uniswap, and the Government of El Salvador, we've raised $26m from tier-1 investors (Point Nine, 1kx, Tim Draper, Alven, Ledger Cathay). The opportunity We're hiring a Rust Engineer to our Accounting squad, where you'll drive the technical development powering cost basis and PnL computations, staking, derivatives, accruals, and high-volume reporting pipelines. In this role, you'll tackle complex accounting challenges at the forefront of digital assets and traditional finance. You'll build the backbone for regulatory compliance, reporting, and audit readiness in the crypto sector, making a measurable impact for the world's most innovative financial players. Key technologies Rust (with a focus on performance and scalability) TypeScript (key dependencies: Nest.js, Zod, Slonik) PostgreSQL, Cassandra, ClickHouse Kubernetes on AWS, Docker, GitLab, Pulumi What you'll do Drive the development of core systems for Cryptio's SaaS accounting platform, ensuring robust and scalable customer workflows Architect, optimise, and maintain data-heavy solutions for financial reporting, reconciliation, and ledger automation Collaborate with staff engineers, product, and other teams to deliver features aligned with customer and business needs Identify, troubleshoot, and proactively resolve performance issues at scale Mentor and support the growth of engineers across the squad Contribute to codebase reliability by documenting best practices and enabling knowledge sharing across the company We're looking for someone who Has experience building and shipping production software Is comfortable working with Rust and eager to deepen their expertise in it Has hands-on experience (or a strong interest in learning) TypeScript and frameworks like Nest.js, Zod, or Slonik Is curious about crypto and accounting, or brings relevant domain experience Enjoys working on high-performance systems and diving into technical challenges involving large datasets Has worked with (or is open to learning) OLAP databases such as ClickHouse, as well as PostgreSQL Communicates clearly in English and values working collaboratively with others Is interested in mentoring, sharing knowledge, and growing with the team Approaches problems analytically and is passionate about building future finance infrastructure in crypto Why you'll love this role Own the development of mission-critical infrastructure in a fast-evolving industry Collaborate with a team of highly skilled engineers and cross-functional partners Work with cutting-edge technologies in cloud-native, data-heavy environments (Rust, TypeScript, ClickHouse, AWS) Freedom to experiment and drive architecture decisions impacting the entire product 100% remote role, with opportunities to visit our hubs in Paris and London Competitive salary and full benefits package - see our careers page for details Interview process Talent Screen - 30 min Technical Interview - 60 min Team interview - 45 min CTO interview - 45 min Offer Ready to shape the technical core of finance for the crypto economy? We'd love to hear from you. - Cryptio
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Jan 28, 2026
Full time
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Location: London (Hybrid Working - 3 days per week office attendance) At Zuora, we're building what we call Modern Business. As the world moves toward subscription and usage-based models, we help organisations create recurring customer relationships that drive sustainable growth - for their businesses, their customers and the planet. Our platform powers some of the world's most innovative companies across software, media, telecom, IoT and beyond, enabling them to monetise new business models, deepen customer relationships and deliver exceptional digital experiences. The Team & The Opportunity We're looking for a Senior Customer Solution Engineer to join our growing EMEA team, supporting enterprise customers and prospects across the region. This is a highly collaborative, customer-facing role where you'll sit at the intersection of technology, business strategy and value-based selling. You'll partner closely with Account Executives, Product, Solutions and Customer teams to help organisations understand what's possible with Zuora - and how to turn that into real business outcomes. This role is location-specific and designed for someone ideallybased in the London or Home Counties area, with regular time spent collaborating in our office to maximise impact. What You'll Be Doing Become a trusted Zuora expert through comprehensive onboarding and enablement across our products, solutions and use cases Build strong technical relationships with customers and prospects, developing a deep understanding of their goals, constraints and operating models Lead compelling product demonstrations and technical presentations for senior stakeholders, including C-level audiences Design tailored, end-to-end demos aligned to each customer's strategic objectives across multiple industries Support complex enterprise sales cycles by securing technical wins, addressing objections and clearly differentiating Zuora's value Partner with Product and Solutions teams to influence roadmap priorities based on customer and market feedback Own adoption and technical health across accounts, ensuring customers realise value and meet agreed KPIs Help shape commercial strategy and identify expansion opportunities across business units and use cases Coordinate technical resources across Zuora and our partners to support successful outcomes Contribute to RFPs/RFIs, field events, and customer references where appropriate Support escalation management and collaborate cross-functionally to resolve issues and drive success Travel within your territory as needed What We're Looking For You don't need to tick every box - we value potential, curiosity and mindset as much as experience. 5+ years' experience in Sales Engineering, Presales, Solution Consulting or Solution Architecture Strong interest in - or experience with - SaaS, Cloud and enterprise technology Comfort translating technical concepts into clear, business-focused value conversations Excellent presentation and communication skills, with confidence engaging both technical and non-technical audiences Familiarity with subscription or recurring revenue models (or a desire to become an expert) Experience working within a structured sales methodology (e.g. MEDDIC, Value Selling) A general understanding of APIs and modern application architectures Bachelor's degree and/or relevant FinTech or enterprise software experience Our Technology Environment You'll work alongside teams using modern, cloud-native technologies including: Life at Zuora () As a ZEO, you're empowered to take ownership, think differently and make a measurable impact. We're building an inclusive, high-performance culture where people can grow, learn and do the best work of their careers. We support our people with: Competitive compensation and performance-based incentives Generous, flexible time off plus company-wide year-end break Fully paid parental leave Volunteering opportunities and charitable donation matching Mental wellbeing resources and support Benefits may vary by country and will be discussed during the interview process. Flexible Working, Done Thoughtfully Zuora teams are empowered to design ways of working that balance flexibility with collaboration. For this role, you'll combine remote work with regular in-office collaboration in London at least 3 times per week helping you build strong relationships and maximise impact. Our Commitment to Inclusion At Zuora, everyone belongs. Different perspectives, experiences and backgrounds make us stronger. We're proud to be an equal opportunity employer and encourage applications from all communities. If you need adjustments or support during the application or interview process, we're here to help. Let's do this. You're unique and we're on a journey - so let's embark on a unique journey together. We encourage you to apply to all roles that utilize your skills and ignite the passion within you. No matter where you're located, or which team you work on, you'll be part of a group of people working together to build a better world: The World Subscribed.
Jan 28, 2026
Full time
Location: London (Hybrid Working - 3 days per week office attendance) At Zuora, we're building what we call Modern Business. As the world moves toward subscription and usage-based models, we help organisations create recurring customer relationships that drive sustainable growth - for their businesses, their customers and the planet. Our platform powers some of the world's most innovative companies across software, media, telecom, IoT and beyond, enabling them to monetise new business models, deepen customer relationships and deliver exceptional digital experiences. The Team & The Opportunity We're looking for a Senior Customer Solution Engineer to join our growing EMEA team, supporting enterprise customers and prospects across the region. This is a highly collaborative, customer-facing role where you'll sit at the intersection of technology, business strategy and value-based selling. You'll partner closely with Account Executives, Product, Solutions and Customer teams to help organisations understand what's possible with Zuora - and how to turn that into real business outcomes. This role is location-specific and designed for someone ideallybased in the London or Home Counties area, with regular time spent collaborating in our office to maximise impact. What You'll Be Doing Become a trusted Zuora expert through comprehensive onboarding and enablement across our products, solutions and use cases Build strong technical relationships with customers and prospects, developing a deep understanding of their goals, constraints and operating models Lead compelling product demonstrations and technical presentations for senior stakeholders, including C-level audiences Design tailored, end-to-end demos aligned to each customer's strategic objectives across multiple industries Support complex enterprise sales cycles by securing technical wins, addressing objections and clearly differentiating Zuora's value Partner with Product and Solutions teams to influence roadmap priorities based on customer and market feedback Own adoption and technical health across accounts, ensuring customers realise value and meet agreed KPIs Help shape commercial strategy and identify expansion opportunities across business units and use cases Coordinate technical resources across Zuora and our partners to support successful outcomes Contribute to RFPs/RFIs, field events, and customer references where appropriate Support escalation management and collaborate cross-functionally to resolve issues and drive success Travel within your territory as needed What We're Looking For You don't need to tick every box - we value potential, curiosity and mindset as much as experience. 5+ years' experience in Sales Engineering, Presales, Solution Consulting or Solution Architecture Strong interest in - or experience with - SaaS, Cloud and enterprise technology Comfort translating technical concepts into clear, business-focused value conversations Excellent presentation and communication skills, with confidence engaging both technical and non-technical audiences Familiarity with subscription or recurring revenue models (or a desire to become an expert) Experience working within a structured sales methodology (e.g. MEDDIC, Value Selling) A general understanding of APIs and modern application architectures Bachelor's degree and/or relevant FinTech or enterprise software experience Our Technology Environment You'll work alongside teams using modern, cloud-native technologies including: Life at Zuora () As a ZEO, you're empowered to take ownership, think differently and make a measurable impact. We're building an inclusive, high-performance culture where people can grow, learn and do the best work of their careers. We support our people with: Competitive compensation and performance-based incentives Generous, flexible time off plus company-wide year-end break Fully paid parental leave Volunteering opportunities and charitable donation matching Mental wellbeing resources and support Benefits may vary by country and will be discussed during the interview process. Flexible Working, Done Thoughtfully Zuora teams are empowered to design ways of working that balance flexibility with collaboration. For this role, you'll combine remote work with regular in-office collaboration in London at least 3 times per week helping you build strong relationships and maximise impact. Our Commitment to Inclusion At Zuora, everyone belongs. Different perspectives, experiences and backgrounds make us stronger. We're proud to be an equal opportunity employer and encourage applications from all communities. If you need adjustments or support during the application or interview process, we're here to help. Let's do this. You're unique and we're on a journey - so let's embark on a unique journey together. We encourage you to apply to all roles that utilize your skills and ignite the passion within you. No matter where you're located, or which team you work on, you'll be part of a group of people working together to build a better world: The World Subscribed.
Job Category: Sales Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self service BI, data science, hybrid/multi cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid market customers across 30+ industries have received payback in less than 6 months. For more information, visit . We are a fast growing, international organization with teams across four continents and we work with a cutting edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way. Job Description The opportunity The Sales Director at Denodo will be responsible for the management and execution of direct sales in the assigned region. This role will focus on driving new business and expanding existing relationships within the Financial Services sector. We are seeking high performance candidates with a track record of exceeding sales targets in enterprise software over the past five years. Candidates must have a solid background in the data integration, data analytics, and data management space with proven experience engaging with potential customers, partners and prospects in the assigned region. The ideal candidate should have excellent presentation and communication skills to handle the entire sales process from business development, prospecting, and qualifying to negotiations and closing. The successful candidate will be working closely with experienced sales and marketing leadership and be supported by a strong technical team in a fast paced and rapidly growing company to develop professionally and gain opportunities to excel. This position is based in London and requires a hybrid working arrangement, with a minimum of three days per week in our London Paddington office. This is an individual contributor sales opportunity. Job Responsibilities & Duties Develop, maintain, and manage the implementation of strategic sales plans for assigned territory. Manage efforts to research and identify customer prospects and targets. Responsible for meeting individual sales quotas based on corporate and regional revenue targets. Accountable for achieving new customer acquisition targets and implementing expansion strategies. Working with our partner channels sales team to identify, source, onboard appropriate channel & alliance partners and to drive revenue through both direct and indirect channels. Set and execute customer acquisition strategy across Direct inbound and through our Partner ecosystem within the assigned set of accounts and/or territory. Develop and actively maintain sales forecasts across assigned accounts and territory. Measure and report the result of sales and plan execution. Desired Skills & Experience 10+ years of results driven enterprise software sales experience 5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from cold calling prospects to negotiating enterprise wide contracts Ability to present technical concepts and business solutions clearly through demonstrations and proposals Exemplary written and oral communications skills with ability to engage with a wide range of customer roles (C suite, Executives, Subject Matter Experts and Enterprise Architects) Good organizational, prospecting and follow up skills A team player with the highest level of integrity. Bachelor's degree in a business related discipline, computer science or engineering with an MBA preferred, or equivalent work experience Nice to have experience in leveraging Employee Advocacy and Social Media to network with industry peers, share thought leadership content, and enhance brand visibility to support sales engagement and relationship building. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.
Jan 28, 2026
Full time
Job Category: Sales Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self service BI, data science, hybrid/multi cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid market customers across 30+ industries have received payback in less than 6 months. For more information, visit . We are a fast growing, international organization with teams across four continents and we work with a cutting edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way. Job Description The opportunity The Sales Director at Denodo will be responsible for the management and execution of direct sales in the assigned region. This role will focus on driving new business and expanding existing relationships within the Financial Services sector. We are seeking high performance candidates with a track record of exceeding sales targets in enterprise software over the past five years. Candidates must have a solid background in the data integration, data analytics, and data management space with proven experience engaging with potential customers, partners and prospects in the assigned region. The ideal candidate should have excellent presentation and communication skills to handle the entire sales process from business development, prospecting, and qualifying to negotiations and closing. The successful candidate will be working closely with experienced sales and marketing leadership and be supported by a strong technical team in a fast paced and rapidly growing company to develop professionally and gain opportunities to excel. This position is based in London and requires a hybrid working arrangement, with a minimum of three days per week in our London Paddington office. This is an individual contributor sales opportunity. Job Responsibilities & Duties Develop, maintain, and manage the implementation of strategic sales plans for assigned territory. Manage efforts to research and identify customer prospects and targets. Responsible for meeting individual sales quotas based on corporate and regional revenue targets. Accountable for achieving new customer acquisition targets and implementing expansion strategies. Working with our partner channels sales team to identify, source, onboard appropriate channel & alliance partners and to drive revenue through both direct and indirect channels. Set and execute customer acquisition strategy across Direct inbound and through our Partner ecosystem within the assigned set of accounts and/or territory. Develop and actively maintain sales forecasts across assigned accounts and territory. Measure and report the result of sales and plan execution. Desired Skills & Experience 10+ years of results driven enterprise software sales experience 5+ years of experience in selling enterprise software Good knowledge and experience with Data Integration, Data Warehousing, Databases, Business Intelligence, Data Analytics, AI/ML concepts and products. Good understanding of enterprise IT architectures and corporate data strategies and solutions. Capable of managing all aspects of the sales cycle from cold calling prospects to negotiating enterprise wide contracts Ability to present technical concepts and business solutions clearly through demonstrations and proposals Exemplary written and oral communications skills with ability to engage with a wide range of customer roles (C suite, Executives, Subject Matter Experts and Enterprise Architects) Good organizational, prospecting and follow up skills A team player with the highest level of integrity. Bachelor's degree in a business related discipline, computer science or engineering with an MBA preferred, or equivalent work experience Nice to have experience in leveraging Employee Advocacy and Social Media to network with industry peers, share thought leadership content, and enhance brand visibility to support sales engagement and relationship building. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee.
Summary Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning Salary: Competitive salary at Director or Principal level, depending on experience Starting date: Jan-Feb 2026 Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise the field of bispecific antibody drug conjugate (bsADC) discovery. We have developed the most advanced drug discovery platform for complex modalities, capable of generating and screening over 1,000 drug candidates per week to uncover novel, first in class bsADCs that others cannot. Our approach generates a rich dataset capturing cytotoxicity, target expression, payload sensitivity, and related correlations, offering high potential for integration into predictive models that accelerate and enhance future drug discovery efforts. Role Summary The Principal Data Scientist will help shape and execute our strategy for integrating proprietary screening data with internal & external biological datasets to identify and prioritise drug candidates for testing. This role is hands on: on top of shaping Valink's strategic input on data analysis approaches and AI driven predictive modelling, the profile will also build prototype pipelines, curate relevant datasets, and validate methodologies that will inform the longer term development of our in house AI platform. Key Responsibilities Driving Data Strategy Determine appropriate models and computational frameworks for predictive drug target sensitivity analysis. Inform on infrastructure, data architecture, and workflow considerations for scalable AI adoption. Data Curation, Integration and Analytics Identify, source, and curate publicly available datasets (cell lines, patient data, target expression, protein/compound databases). Harmonise and integrate these external resources with Valink's internal phenotypic and screening data. Ensure data quality, interoperability, and relevance for downstream predictive modelling. Perform EDA to uncover patterns, trends and outliers in our data to augment downstream design and modelling processes. Model Prototyping & Development Build and test machine learning pipelines to predict correlations between cytotoxicity, target expression, and payload sensitivity. Explore applications of AI driven drug positioning approaches to support candidate selection. Benchmark different models and methods and evaluate trade offs to derive the best model. Turn model outputs into clear insights and visualisations that biologists can act on, helping teams move from hit discovery to candidate optimisation. Collaboration & Knowledge Transfer Act as a technical partner to the Platform and Asset teams, translating research questions into AI solutions. Work alongside the wet lab scientists to design new screening campaigns, using model predictions to guide assay set ups and hit selection. Provide clear documentation, recommendations, and interim solutions that can be scaled internally. Essential Requirements PhD or MSc in Computational Biology, Bioinformatics, Computer Science, or related discipline. 5+ years of experience in industry or academia applying biostatistics and machine learning to biomedical datasets, particularly in areas such as drug positioning, drug repurposing, pharmacogenomics, or precision medicine. Demonstrated ability to work with large scale public datasets (e.g., DepMap, CCLE, LINCS, GDSC, TCGA, UniProt). Expertise in building data pipelines and predictive models using Python/R and ML frameworks (e.g., scikit learn, TensorFlow, PyTorch). Solid grasp of relational databases and proficiency in writing SQL queries Familiarity with high throughput screening data, cytotoxicity assays, or drug sensitivity profiling a strong plus. Hands on, problem solving mindset with the ability to balance strategic advisory with technical execution. Strong communication skills and ability to collaborate across discipline Proficient in mathematical and statistical skills required for machine learning and AI Desirable Experience leading complex scientific projects in an industrial research setting working alongside wet lab scientists. Familiarity with laboratory automation, high throughput screening, and experimental design for drug discovery. Familiarity with cloud computing environments for large scale data analysis. What we offer Competitive salary Stock option plan 25 days of holiday, plus bank holidays Bupa private medical insurance and life assurance YuLife wellbeing engagement Matched pension Flexible working hours Hybrid working location Cyclescheme
Jan 28, 2026
Full time
Summary Responsibility: Plan and execute Valink's data strategy to build predictive models for drug discovery and drug positioning Salary: Competitive salary at Director or Principal level, depending on experience Starting date: Jan-Feb 2026 Location: White City, London, UK About Us Valink Therapeutics is a spinout from the University of Oxford with a mission to revolutionise the field of bispecific antibody drug conjugate (bsADC) discovery. We have developed the most advanced drug discovery platform for complex modalities, capable of generating and screening over 1,000 drug candidates per week to uncover novel, first in class bsADCs that others cannot. Our approach generates a rich dataset capturing cytotoxicity, target expression, payload sensitivity, and related correlations, offering high potential for integration into predictive models that accelerate and enhance future drug discovery efforts. Role Summary The Principal Data Scientist will help shape and execute our strategy for integrating proprietary screening data with internal & external biological datasets to identify and prioritise drug candidates for testing. This role is hands on: on top of shaping Valink's strategic input on data analysis approaches and AI driven predictive modelling, the profile will also build prototype pipelines, curate relevant datasets, and validate methodologies that will inform the longer term development of our in house AI platform. Key Responsibilities Driving Data Strategy Determine appropriate models and computational frameworks for predictive drug target sensitivity analysis. Inform on infrastructure, data architecture, and workflow considerations for scalable AI adoption. Data Curation, Integration and Analytics Identify, source, and curate publicly available datasets (cell lines, patient data, target expression, protein/compound databases). Harmonise and integrate these external resources with Valink's internal phenotypic and screening data. Ensure data quality, interoperability, and relevance for downstream predictive modelling. Perform EDA to uncover patterns, trends and outliers in our data to augment downstream design and modelling processes. Model Prototyping & Development Build and test machine learning pipelines to predict correlations between cytotoxicity, target expression, and payload sensitivity. Explore applications of AI driven drug positioning approaches to support candidate selection. Benchmark different models and methods and evaluate trade offs to derive the best model. Turn model outputs into clear insights and visualisations that biologists can act on, helping teams move from hit discovery to candidate optimisation. Collaboration & Knowledge Transfer Act as a technical partner to the Platform and Asset teams, translating research questions into AI solutions. Work alongside the wet lab scientists to design new screening campaigns, using model predictions to guide assay set ups and hit selection. Provide clear documentation, recommendations, and interim solutions that can be scaled internally. Essential Requirements PhD or MSc in Computational Biology, Bioinformatics, Computer Science, or related discipline. 5+ years of experience in industry or academia applying biostatistics and machine learning to biomedical datasets, particularly in areas such as drug positioning, drug repurposing, pharmacogenomics, or precision medicine. Demonstrated ability to work with large scale public datasets (e.g., DepMap, CCLE, LINCS, GDSC, TCGA, UniProt). Expertise in building data pipelines and predictive models using Python/R and ML frameworks (e.g., scikit learn, TensorFlow, PyTorch). Solid grasp of relational databases and proficiency in writing SQL queries Familiarity with high throughput screening data, cytotoxicity assays, or drug sensitivity profiling a strong plus. Hands on, problem solving mindset with the ability to balance strategic advisory with technical execution. Strong communication skills and ability to collaborate across discipline Proficient in mathematical and statistical skills required for machine learning and AI Desirable Experience leading complex scientific projects in an industrial research setting working alongside wet lab scientists. Familiarity with laboratory automation, high throughput screening, and experimental design for drug discovery. Familiarity with cloud computing environments for large scale data analysis. What we offer Competitive salary Stock option plan 25 days of holiday, plus bank holidays Bupa private medical insurance and life assurance YuLife wellbeing engagement Matched pension Flexible working hours Hybrid working location Cyclescheme
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
Jan 28, 2026
Full time
You will need to login before you can apply for a job. Employer Invesco EMEA Location Henley-on-Thames, Oxfordshire, United Kingdom Salary Competitive Closing date 24 Feb 2026 As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. Benefits Company-provided healthcare A competitive annual leave allowance Flexible working options, including hybrid working arrangements Generous pension provisions Income protection Health and wellness benefits Volunteering days Enhanced parental leave Life insurance Your Role Lead the technical assessment, architecture, and continuous enhancement of technology risk controls across hybrid and cloud-native environments. Leverage advanced engineering practices, automation, and analytics to proactively identify, quantify, and mitigate risks, embedding a culture of technical excellence and risk accountability. What you will be doing Architect and implement robust technology risk controls, and assessments using advanced engineering techniques, chaos engineering, automated fault injection, adversarial simulations across cloud (AWS, Azure, GCP) and on-premises platforms. Design and operationalize real-time Key Risk Indicators (KRIs) by integrating telemetry from SIEM (e.g., Splunk, Sentinel), CSPM (e.g., Prisma Cloud, Wiz), EDR, and workload protection platforms. Develop analytics pipelines for early risk detection and automated alerting. Lead the technical governance of risk remediation, orchestrating automated workflows (e.g., SOAR, IaC-based remediation) to ensure timely, effective, and sustainable outcomes. Develop and maintain integrated, actionable risk dashboards and reporting using Power BI, custom APIs, and data engineering best practices. Partner with engineering, DevOps, and SRE teams to embed risk controls into CI/CD pipelines, deliver technical training, and drive adoption of secure-by-design principles. Build and mentor a community of risk-aware technologists, championing best practices in secure architecture, cloud security, and regulatory compliance automation. Ensure all technical activities align with Invesco's Conduct principles and support audit-readiness and regulatory requirements (SOX, DORA, GDPR, EU AI Act). What you will bring Hands on experience in technology architecture, engineering, or cybersecurity within complex, regulated enterprises. Expertise in designing and implementing controls for hybrid and cloud-native systems (AWS, Azure, GCP). Deep expertise in risk analytics, SIEM, CSPM, EDR, automation (Python, PowerShell, Terraform), and integration with GRC platforms. Deep technical knowledge of enterprise systems, cloud platforms, infrastructure, and application architectures. Proven understanding of risk management frameworks (e.g., NIST, ISO 27005, FAIR) and regulatory requirements (e.g., SOX, DORA, GDPR) preferred. Technology Impacting Regulations such as GDPR, DORA, EU AI Act. Preferred Certifications: TOGAF Enterprise Architect Practitioner, ArchiMate 3 Practitioner, AWS Solution Architect Associate, ITIL 4 Foundation, Artificial Intelligence and Generative AI Professional, CRISC. Excellent communication and stakeholder engagement skills, with the ability to influence across technical and non-technical audiences. Disability Confident Scheme Applicants who opt in to the Disability Confident Scheme and meet the 'minimum criteria' for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview - it does not automatically mean that applicants interviewed will gain employment with Invesco at that time. To apply through the Disability Confident Scheme, you'll need to firstly ensure you have applied for the role via our external careers page. Following this, you'll need to email us at confirming your wish to opt-in, alongside your contact details and the title of the role you wish to apply for. Full Time / Part Time Full time Worker Type Employee Job Exempt Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. If this sounds like you, we'd love to hear from you! We want all of our candidates to shine during the application and selection process, so if you need any adjustments to be made, please send an e-mail to . Please include your name, the job you are interested in, and the type of adjustment you need (for example; breaks during your interview, remote interviews, additional time for assessments or other required adjustments). We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. 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 Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 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. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. 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 Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Jan 28, 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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
