Senior Software Engineer / Developer (Python API AWS SaaS) London / WFH to £100k Are you a senior technologist with strong Python, API and AWS cloud experience? You could be progressing your career in an impactful, hands-on engineering position for a successful and growing technology company, helping to build a large-scale video platform on the Amazon Web Services Cloud. The core product allows business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (field engineers, field service, auditing, reporting, health-and-safety, sales, etc.); customers are typically large multinationals: utilities, telecoms, manufacturing and facilities management companies. As a Senior Software Engineer you'll design and develop new features and enhancements to the core platform and APIs working with Python within an AWS environment. You'll work across the full software development lifecycle, communicating with customers and investors alike to design robust, scalable, performance and secure implementations for new features. Location / WFH: You can work from home / remotely from anywhere in the UK or go into the London office as often as desired. About you: You have advanced backend Python development experience You have experience of designing and developing distributed, scalable systems with message queues (SQS) and PostgreSQL databases You are experienced with web API architecture e.g. REST APIs You have experience of working on SaaS products with Amazon Web Services (AWS), CloudFormation, Terraform You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are degree educated in Computer Science Experience with video and audio processing or video streaming would be great but not essential What's in it for you: Salary to £100k Remote or hybrid working plus flexible, family friendly working hours Stock ownership plan Private Healthcare Pension Apply now to find out more about this Senior Software Engineer / Developer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
May 05, 2026
Full time
Senior Software Engineer / Developer (Python API AWS SaaS) London / WFH to £100k Are you a senior technologist with strong Python, API and AWS cloud experience? You could be progressing your career in an impactful, hands-on engineering position for a successful and growing technology company, helping to build a large-scale video platform on the Amazon Web Services Cloud. The core product allows business users to capture data via integrated mobile services utilising video analytics and speech recognition to analyse and categorise information within the workflows of large field workforces (field engineers, field service, auditing, reporting, health-and-safety, sales, etc.); customers are typically large multinationals: utilities, telecoms, manufacturing and facilities management companies. As a Senior Software Engineer you'll design and develop new features and enhancements to the core platform and APIs working with Python within an AWS environment. You'll work across the full software development lifecycle, communicating with customers and investors alike to design robust, scalable, performance and secure implementations for new features. Location / WFH: You can work from home / remotely from anywhere in the UK or go into the London office as often as desired. About you: You have advanced backend Python development experience You have experience of designing and developing distributed, scalable systems with message queues (SQS) and PostgreSQL databases You are experienced with web API architecture e.g. REST APIs You have experience of working on SaaS products with Amazon Web Services (AWS), CloudFormation, Terraform You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are degree educated in Computer Science Experience with video and audio processing or video streaming would be great but not essential What's in it for you: Salary to £100k Remote or hybrid working plus flexible, family friendly working hours Stock ownership plan Private Healthcare Pension Apply now to find out more about this Senior Software Engineer / Developer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
May 05, 2026
Full time
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 05, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role The Cognitive Automation Factory Ecosystem and Operations Lead is a senior leadership role responsible for the end-to-end operational performance, ecosystem management, and strategic evolution of the Group's Cognitive Automation Factory. This role is effectively the operational backbone and successor-level counterpart to the Head of Cognitive Automation. It ensures that the CAF operates as a high-performance, multi-technology, multi-partner industrial engine capable of delivering 8-figure business benefits through applied AI and automation. The successful candidate will combine deep automation expertise, enterprise-grade delivery leadership, and strong commercial acumen to: Lead large, blended teams (internal and external) Engage senior stakeholders across operating companies Manage strategic technology and delivery partners Own operational governance, standards, and performance metrics Drive sustainable, measurable EBIT impact Your responsibilities 1. Factory Leadership & Operational Excellence Lead the operational performance of the Cognitive Automation Factory across the Group. Industrialise AI and automation delivery through standardised engineering practices, governance, quality controls and reusable frameworks. Ensure predictable, high-quality delivery across multiple concurrent programmes and products. Own delivery economics, capacity planning, utilisation, and multi-shore optimisation. 2. Business Value & Benefits Realisation Ensure all AI and automation initiatives are anchored in measurable business value. Track and govern realised vs. forecast benefits (cost-out, productivity, error reduction, revenue enablement). Act as a senior escalation point for underperforming initiatives. Partner with Finance and OpCo stakeholders to validate tangible benefits delivered. 3. Ecosystem & Partner Management Lead and optimise a blended ecosystem of strategic partners and internal engineering squads. Manage commercial performance, contractual KPIs, and delivery standards. Ensure knowledge transfer and capability uplift within the internal team. Maintain a competitive, scalable, and innovation-led partner model. 4. Technology & Architecture Governance Provide senior oversight across the automation and AI technology stack, including: o RPA platforms (e.g., UiPath, Power Automate) o AWS-based cloud-native architectureso Agentic AI frameworks (Agent Core, LangChain, LangGraph) o Large Language Models (multi-model strategy) o Orchestration frameworks and event-driven architectures o Document AI and extraction (e.g., Berdock)o EVAL frameworks and LLM evaluation methodologies o Observability, monitoring and guardrails for AI agents Ensure scalable, secure, compliant and production-grade solutions. Champion best practices in AI governance, risk management, and model lifecycle management. 5. Senior Stakeholder Engagement Engage senior leaders across operating companies at Director and C-level. Translate AI and automation capabilities into business language. Influence prioritisation decisions and roadmap alignment across the Group. Represent the CAF in senior governance forums. 6. Talent & Capability Development Build and mentor high-performing automation and AI delivery leaders. Establish clear career paths and succession planning within the CAF. Foster a culture of engineering excellence, accountability, and measurable impact. Drive continuous capability uplift across RPA, AI, and agentic systems. Your skills, experience and qualifications Essential Experience 12+ years' experience in enterprise technology delivery, with at least 7+ years leading large-scale automation or AI programmes. Proven track record of delivering significant, tangible business benefits through applied AI and automation. Experience managing multi-disciplinary teams combining internal staff and strategic delivery partners. Experience operating at senior stakeholder level (Director/C-level engagement). Strong commercial acumen, including budget ownership and benefits tracking. Technical Depth (Non-Hands-On but Credible) The candidate must have sufficient depth to challenge architects and engineers credibly, even if not coding daily. Demonstrated expertise in: RPA platforms such as UiPath and Power Automate Cloud-native architectures (preferably AWS) Agentic AI frameworks (LangChain, LangGraph, agent orchestration) Multi-LLM strategies and model selection EVAL frameworks for LLM/agent performance Observability, logging, guardrails and governance for AI agents Workflow orchestration and integration patterns Enterprise-grade security and compliance considerations for AI systems Desirable Experience within aviation, transportation, logistics, or other complex operational industries. Experience scaling an AI or automation factory model. Exposure to regulated environments. Knowledge of EU AI Act and enterprise AI governance frameworks. Personal Attributes Strategic thinker with strong operational discipline. Calm under pressure in complex, multi-stakeholder environments. Commercially sharp, data-driven, and outcome-oriented. High credibility with both engineers and executives. Not dazzled by hype. Focused on value. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Digital Product Manager Job Description About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. Our Product Managers are pivotal in the delivery of value, fostering collaboration, and taking responsibility for where and how we invest. As a senior member of our Digital Product team, you will play a strategic role in the definition of our digital product investments. You will be forever building on your understanding of both our consumer and business needs, working across the business to realise this value into the market. What you'll do Autonomously lead the discovery, definition and delivery of new digital products and features that deliver our key business outcomes Collaborate effectively with engineering teams, designers, and others to create compelling strategies for our products, and deliver on them Be passionate about how consumer credit works so that you can disrupt it from the inside out Challenge and champion technology choices to deliver innovative and resilient solutions that enable both near and long term value Integrate business analytics and operational excellence in every aspect of product design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience working within a regulated industry with demonstrable in market results A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Ability to appreciate the detail, get under the hood and make decisions that unleash product engineering Excellent communication skills, able to engage, influence and inspire Passionate about achieving the right outcome Where and how you'll work This is a permanent position and can be based in our Nottingham or London offices. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
May 05, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Digital Product Manager Job Description About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. Our Product Managers are pivotal in the delivery of value, fostering collaboration, and taking responsibility for where and how we invest. As a senior member of our Digital Product team, you will play a strategic role in the definition of our digital product investments. You will be forever building on your understanding of both our consumer and business needs, working across the business to realise this value into the market. What you'll do Autonomously lead the discovery, definition and delivery of new digital products and features that deliver our key business outcomes Collaborate effectively with engineering teams, designers, and others to create compelling strategies for our products, and deliver on them Be passionate about how consumer credit works so that you can disrupt it from the inside out Challenge and champion technology choices to deliver innovative and resilient solutions that enable both near and long term value Integrate business analytics and operational excellence in every aspect of product design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience working within a regulated industry with demonstrable in market results A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Ability to appreciate the detail, get under the hood and make decisions that unleash product engineering Excellent communication skills, able to engage, influence and inspire Passionate about achieving the right outcome Where and how you'll work This is a permanent position and can be based in our Nottingham or London offices. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We AreAt Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
May 05, 2026
Full time
About Us We are part of International Airlines Group (IAG), one of the world's leading airline groups and owner of some of the biggest brands in the sky. IAG Transform provides creative and innovative solutions to drive sustainable transformation by delivering procurement and airline services, as well as group-wide systems across IAG. Each operating company benefits from the Transform centralised model, driving efficiencies, automation, and economies of scale. Purpose of the role We are hiring a AI Engineering Product Manager for our Multi-Tech Agentic Engineering team to lead the technical direction, engineering discipline and delivery velocity of IAG's next generation of agentic AI products. This is a hands-on senior technical leadership role. You must have real experience leading teams that build production-grade AI agents, not just theoretical experiments or hackathon projects. You will be the technical authority across agent frameworks, orchestration patterns, memory design and guardrails. You will report to the Group Head of Technology and work within the product oversight of the Group Head of Cognitive Automation. You will shape how we build, scale and operate a multi-vendor agent ecosystem across OpenAI, Anthropic, Microsoft Azure, LangGraph, AutoGen and other emerging frameworks. You will also lead in a matrix environment, working across multiple airlines, central teams, external partners and offshore/nearshore engineering units. You must be comfortable directing both internal engineering teams and partner-led delivery teams, maintaining consistent quality and velocity across all. Your responsibilities What You Will Lead Technical Ownership Set the technical strategy for IAG's agentic architecture, including orchestration patterns, tool integration, memory, evaluation and runtime governance. Create and drive adoption of reusable agent components that accelerate delivery across all operating companies. Make sound architecture decisions on model selection, GraphRAG, RAG optimisation, LangGraph patterns and model cost modelling. Agentic Engineering Leadership Lead and mentor a small multi-disciplinary technical team building enterprise-grade AI agents integrated with complex airline systems, working across London and Barcelona Drive a culture of excellence by developing talent, managing performance rigorously and shaping a team that delivers at elite level Provide engineering leadership across internal teams and external technology partners, ensuring consistency of standards and delivery quality. Establish technical best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks. Implement strong engineering discipline, including observability, safety, automated evaluation, behavioural testing and continuous improvement. Matrix and Partner Leadership Operate effectively in a matrix environment spanning Group, OpCos, cloud, data and security teams. Coordinate and influence multiple delivery streams to ensure alignment, technical coherence and consistent engineering standards. Manage and guide external partners, ensuring work meets IAG's quality, cost and velocity expectations. Platform and Architecture Leadership Shape the Group's lightweight GenAI abstraction layer, enabling fast, predictable and secure route-to-live. Own agile technical governance with auditable decisions, clear architecture documentation and rapid escalation of risks. Maintain a sharp external radar on AI evolution and benchmark vendor capabilities, reliability and cost. Product and Delivery Impact Work with product leads to ensure technical designs deliver genuine, measurable EBIT impact. Identify quick-start approaches that left-shift value during discovery. Build a developer experience that encourages rapid adoption of AI components across the Group. Stakeholder Influence Build strong relationships across all airlines and influence at CDIO-1 level. Represent the AI engineering strategy to the Group CTO, CDAO, CISO and cloud/data platform leaders. Support Group-wide AI upskilling through contributions to the AI Academy curriculum. Your skills, experience and qualifications Qualifications, Experience and Qualities 15+ years of engineering leadership with proven experience delivering complex software systems at scale. Direct experience architecting and delivering production AI agents with measurable business impact. Deep technical command of the OpenAI ecosystem, including model orchestration, tool calling, evaluation and runtime optimisation. Strong experience with Anthropic, Azure OpenAI and at least one other agent framework such as LangGraph or AutoGen. Proven ability to lead both internal engineering teams and external partner teams to consistent, high-quality outcomes. Strong track record operating in a matrix environment, influencing without direct authority and aligning diverse stakeholders. Demonstrated ability to integrate LLM-based agents with enterprise systems, APIs, RPA, orchestration platforms and internal tools. Strong grounding in DevSecOps, cloud-native architecture, observability and CI/CD. Ability to translate complex technical considerations into simple, concise narratives for senior executives. Evidence of succeeding in fast-paced, ambiguous, high-stakes environments. Ability to travel internally (within Europe) on a weekly basis, where required, to work with the team and stakeholders. Nice-to-haves Airline or travel industry experience. Experience building reusable platform components adopted across multiple business units. Experience with model hosting, fine-tuning, distillation or model evaluation frameworks. Experience with globally distributed teams and multi-vendor delivery ecosystems. You are likely a great fit if you Thrive at the intersection of architecture, engineering craft and delivery. Cut through fog quickly and favour practical, high-value solutions. Stay ahead of AI evolution and separate hype from substance instantly. Inspire and challenge senior engineers while maintaining strong engineering discipline. Communicate with clarity, confidence and zero waffle. What we offer The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry. The opportunity to work in a multi-cultural environment with great offices in many locations. We support our people in maintaining work/life balance, as well as providing the many benefits one would expect from a global organisation, including health insurance, pension and performance bonuses. We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
BIM Manager (ISO 19650 Revit Navisworks) Location: Bolton Salary: Competitive + Benefits 6 Months FTC - With the view to extend Are you a BIM leader who enjoys shaping strategy and staying close to project delivery? We're looking for a BIM Manager / Digital Engineering Manager to lead and evolve BIM capability across a growing engineering and project delivery environment. This is a key role with real influence-owning BIM standards, driving ISO 19650 compliance, and supporting complex multidisciplinary projects. You'll act as the go-to expert for BIM, balancing strategic leadership with hands-on coordination, working closely with design, engineering, and project teams. What you'll be doing BIM Strategy & Leadership Develop and implement BIM standards, workflows, and best practices across the business Drive adoption of BIM and digital engineering across teams Own and evolve BIM Execution Plans (BEPs) Project Delivery & Coordination Lead model coordination and clash detection (Navisworks / similar) Oversee multidisciplinary model integration across projects Ensure models meet quality, compliance, and contractual requirements Information Management (ISO 19650) Manage Common Data Environment (CDE) processes and data governance Define naming conventions, information structures, and data standards Ensure full compliance with ISO 19650 Quality, Audit & Improvement Audit BIM models and deliverables for accuracy and compliance Drive continuous improvement and standardisation Support integration between BIM, CAD, and engineering/manufacturing systems Stakeholder & Team Support Act as the primary BIM contact for clients and internal teams Provide training, mentoring, and guidance to engineers and designers What we're looking for Essential: Experience as a BIM Manager, BIM Lead, or Senior BIM Coordinator Strong knowledge of ISO 19650 and information management Proficiency in Revit and Navisworks (or Bentley MicroStation environments) Experience coordinating multidisciplinary design models Experience working with Common Data Environments (CDEs) Strong stakeholder and communication skills Desirable: Background in engineering, construction, or architecture Experience in complex or high-value projects Exposure to Bentley tools, Dynamo, or automation workflows Experience integrating BIM with manufacturing or production systems Why apply? Opportunity to shape BIM strategy across the business Mix of hands-on technical work and strategic leadership Work on complex, multidisciplinary projects Collaborative and forward-thinking engineering environment Influence digital transformation and innovation Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
May 05, 2026
Full time
BIM Manager (ISO 19650 Revit Navisworks) Location: Bolton Salary: Competitive + Benefits 6 Months FTC - With the view to extend Are you a BIM leader who enjoys shaping strategy and staying close to project delivery? We're looking for a BIM Manager / Digital Engineering Manager to lead and evolve BIM capability across a growing engineering and project delivery environment. This is a key role with real influence-owning BIM standards, driving ISO 19650 compliance, and supporting complex multidisciplinary projects. You'll act as the go-to expert for BIM, balancing strategic leadership with hands-on coordination, working closely with design, engineering, and project teams. What you'll be doing BIM Strategy & Leadership Develop and implement BIM standards, workflows, and best practices across the business Drive adoption of BIM and digital engineering across teams Own and evolve BIM Execution Plans (BEPs) Project Delivery & Coordination Lead model coordination and clash detection (Navisworks / similar) Oversee multidisciplinary model integration across projects Ensure models meet quality, compliance, and contractual requirements Information Management (ISO 19650) Manage Common Data Environment (CDE) processes and data governance Define naming conventions, information structures, and data standards Ensure full compliance with ISO 19650 Quality, Audit & Improvement Audit BIM models and deliverables for accuracy and compliance Drive continuous improvement and standardisation Support integration between BIM, CAD, and engineering/manufacturing systems Stakeholder & Team Support Act as the primary BIM contact for clients and internal teams Provide training, mentoring, and guidance to engineers and designers What we're looking for Essential: Experience as a BIM Manager, BIM Lead, or Senior BIM Coordinator Strong knowledge of ISO 19650 and information management Proficiency in Revit and Navisworks (or Bentley MicroStation environments) Experience coordinating multidisciplinary design models Experience working with Common Data Environments (CDEs) Strong stakeholder and communication skills Desirable: Background in engineering, construction, or architecture Experience in complex or high-value projects Exposure to Bentley tools, Dynamo, or automation workflows Experience integrating BIM with manufacturing or production systems Why apply? Opportunity to shape BIM strategy across the business Mix of hands-on technical work and strategic leadership Work on complex, multidisciplinary projects Collaborative and forward-thinking engineering environment Influence digital transformation and innovation Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Lead Software Engineer / Developer (C# .Net Desktop Application) Reigate / WFH to £100k Do you have expertise with C# desktop development, working on complex scalable systems? You could be progressing your career, in a senior, hands-on leadership role working on complex and technically challenging systems with continual learning opportunities a global Fintech. As a Lead Software Engineer you'll manage three Agile teams comprising around ten experienced software engineers, responsible for the flagship desktop insurance platform that handles 4 billion requests per month. You'll play a key role in architecting, designing and developing new features and enhancements whilst ensuring high levels of security, reliability, maintainability, usability and performance. You'll collaborate with the Product Owner and with other development teams to input into design and technical choices and provide technical ownership an Agile environment that encourages close collaboration and continual improvement. Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home. About you: You have expertise with C# .Net Core backend software development, having worked on large, scalable systems with complexity You have strong technical leadership experience (taking ownership of features, not managing people) You are collaborative and pragmatic yet able to push back and influence senior engineers You're an advocate of creating, clean, reusable and maintainable code and have a good knowledge of modern Microsoft software engineering best practices You have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices You're likely to be degree educated in a relevant STEM discipline e.g. Computer Science with a good grasp of mathematics What's in it for you: As a Lead Software Engineer you will receive a competitive salary plus a range of perks and benefits: Up to £100k salary plus bonus (c20%) Hybrid working (3 days a week work from home) Enhanced parental leave 25 days holiday (plus buy days and your birthday off) Pension (up to 10% contribution) Health Care and Life Assurance Training and career development Social events and a range of other perks Apply now to find out more about this Lead Software Engineer / Developer (C# .Net) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
May 05, 2026
Full time
Lead Software Engineer / Developer (C# .Net Desktop Application) Reigate / WFH to £100k Do you have expertise with C# desktop development, working on complex scalable systems? You could be progressing your career, in a senior, hands-on leadership role working on complex and technically challenging systems with continual learning opportunities a global Fintech. As a Lead Software Engineer you'll manage three Agile teams comprising around ten experienced software engineers, responsible for the flagship desktop insurance platform that handles 4 billion requests per month. You'll play a key role in architecting, designing and developing new features and enhancements whilst ensuring high levels of security, reliability, maintainability, usability and performance. You'll collaborate with the Product Owner and with other development teams to input into design and technical choices and provide technical ownership an Agile environment that encourages close collaboration and continual improvement. Location / WFH: There's a flexible work from home hybrid model, you'll join colleagues in the Reigate office twice a week for team meet-ups and stakeholder meetings with the other three days work from home. About you: You have expertise with C# .Net Core backend software development, having worked on large, scalable systems with complexity You have strong technical leadership experience (taking ownership of features, not managing people) You are collaborative and pragmatic yet able to push back and influence senior engineers You're an advocate of creating, clean, reusable and maintainable code and have a good knowledge of modern Microsoft software engineering best practices You have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices You're likely to be degree educated in a relevant STEM discipline e.g. Computer Science with a good grasp of mathematics What's in it for you: As a Lead Software Engineer you will receive a competitive salary plus a range of perks and benefits: Up to £100k salary plus bonus (c20%) Hybrid working (3 days a week work from home) Enhanced parental leave 25 days holiday (plus buy days and your birthday off) Pension (up to 10% contribution) Health Care and Life Assurance Training and career development Social events and a range of other perks Apply now to find out more about this Lead Software Engineer / Developer (C# .Net) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Principal Network Architect (Consultant) As a Principal Network Architect , you will be a trusted advisor, technical authority, and strategic partner to our clients. You will lead the design of complex, secure, and scalable network architectures, translating business requirements into robust technical solutions. This role combines technical leadership, solution architecture, consultancy, and pre-sales engagement, requiring a strong ability to operate at both strategic and hands-on levels. You will work closely with customers, sales, delivery teams, engineering functions, and senior stakeholders-guiding engagements from initial concept through to detailed design, delivery oversight and operational readiness. Key Responsibilities Client Engagement & Consultancy Operate as a trusted advisor for key clients and prospective customers (new logos). Engage with stakeholders from C-level executives to technical engineering teams , translating complex technical and business requirements into high-level and detailed technical architectures. Provide expert consultancy on network strategy, transformation roadmaps, best practices, and emerging technologies. Build strong, long-term relationships that support account growth and customer satisfaction. Technical Leadership & Architecture Act as the Design Authority across major programmes, owning the end-to-end technical vision from inception through transition to operations. Architect network solutions across environments of varying scale-from small to mid-sized infrastructures through to highly complex, large-scale enterprise and multi-site architectures-covering LAN/WAN, Wireless, routing, switching, SDN, and security technologies. Ensure all designs are scalable, resilient, secure, and aligned to customer requirements, technical strategy, and industry best practices Lead creation of high-quality architectural documentation, including HLA, HLD, LLD, standards, and design patterns. Ensure designs align with industry best practices, compliance requirements, and customer governance processes. Pre-Sales, Bids & Commercial Support Partner with the Sales team during pre-sales engagements to define solutions, scope opportunities, and support commercial proposition development. Lead technical responses for Tenders, IITs, and RFPs , including architecture design, technical writing, risk identification, and pricing model support. Present proposed solutions to senior client stakeholders with clarity, confidence, and technical authority. Collaboration & Delivery Oversight Work alongside multi-disciplinary delivery teams, providing leadership, technical guidance, and assurance during implementation phases. Support project managers and engineering teams to ensure solutions are delivered in line with architectural intent and to the highest quality. Contribute to internal knowledge sharing, capability development, and practice maturity across the organisation. Contribute to the identification, design, and development of innovative internal products, frameworks, and service offerings that enhance CACI's strategic advantage, improve delivery efficiency, and support growth across key market sectors. Technology Coverage Across a broad and evolving technology landscape, including: Enterprise LAN/WAN, SD-WAN, SDA and Wireless architectures Data Centre end to end solutions Routing & switching technologies Network Security, Firewalls, Zero Trust, SASE/SSE Software-defined networking solutions Cloud networking (AWS/Azure/GCP/OCI) - highly desirable Automation, orchestration & Infrastructure-as-Code - desirable What We're Looking For Technical & Professional Expertise Proven experience designing and delivering large-scale network and security solutions across enterprise or service provider environments. Deep understanding of network architecture principles, high availability design, routing protocols, segmentation, security architectures, and cloud networking. Experience acting as the final technical authority or Design Authority on complex engagements. Strong background in pre-sales, tender responses, and solution shaping . Ability to clearly articulate complex technical concepts to non-technical audiences and senior stakeholders. Consultancy & Communication Excellent interpersonal, written, and verbal communication skills-capable of producing well-structured technical documentation and delivering impactful presentations. Ability to engage with business stakeholders and end-users to diagnose issues, propose solutions, and provide strategic recommendations. Comfortable representing the organisation independently, with a focus on delivering outstanding customer experiences. Ways of Working Demonstrably collaborative approach when working with sales, engineering, and delivery functions. Self-sufficient, proactive, and comfortable working in high-pressure environments. Experience working within Agile/Scrum, Waterfall, and hybrid project delivery methodologies. Strong commitment to continuous learning and staying ahead of industry advancements. Desirable Certifications & Skills (Certifications not required but advantageous) CCNP/CCIE, JNCIP/JNCIE, or equivalent expert-level certifications Security vendor certifications from platforms such as Fortinet (NSE), Palo Alto (PCNSE/PCNSA), Cisco Security (CCNP Security/CCIE Security), and Check Point (CCSA/CCSE). Cloud certifications (AWS/Azure/GCP/OCI) Strong understanding of structured delivery and operational frameworks (ITIL, PRINCE2, AgilePM, or similar project/service management certifications) Experience with automation tools (Python, Ansible, Terraform, etc.)
May 05, 2026
Full time
Principal Network Architect (Consultant) As a Principal Network Architect , you will be a trusted advisor, technical authority, and strategic partner to our clients. You will lead the design of complex, secure, and scalable network architectures, translating business requirements into robust technical solutions. This role combines technical leadership, solution architecture, consultancy, and pre-sales engagement, requiring a strong ability to operate at both strategic and hands-on levels. You will work closely with customers, sales, delivery teams, engineering functions, and senior stakeholders-guiding engagements from initial concept through to detailed design, delivery oversight and operational readiness. Key Responsibilities Client Engagement & Consultancy Operate as a trusted advisor for key clients and prospective customers (new logos). Engage with stakeholders from C-level executives to technical engineering teams , translating complex technical and business requirements into high-level and detailed technical architectures. Provide expert consultancy on network strategy, transformation roadmaps, best practices, and emerging technologies. Build strong, long-term relationships that support account growth and customer satisfaction. Technical Leadership & Architecture Act as the Design Authority across major programmes, owning the end-to-end technical vision from inception through transition to operations. Architect network solutions across environments of varying scale-from small to mid-sized infrastructures through to highly complex, large-scale enterprise and multi-site architectures-covering LAN/WAN, Wireless, routing, switching, SDN, and security technologies. Ensure all designs are scalable, resilient, secure, and aligned to customer requirements, technical strategy, and industry best practices Lead creation of high-quality architectural documentation, including HLA, HLD, LLD, standards, and design patterns. Ensure designs align with industry best practices, compliance requirements, and customer governance processes. Pre-Sales, Bids & Commercial Support Partner with the Sales team during pre-sales engagements to define solutions, scope opportunities, and support commercial proposition development. Lead technical responses for Tenders, IITs, and RFPs , including architecture design, technical writing, risk identification, and pricing model support. Present proposed solutions to senior client stakeholders with clarity, confidence, and technical authority. Collaboration & Delivery Oversight Work alongside multi-disciplinary delivery teams, providing leadership, technical guidance, and assurance during implementation phases. Support project managers and engineering teams to ensure solutions are delivered in line with architectural intent and to the highest quality. Contribute to internal knowledge sharing, capability development, and practice maturity across the organisation. Contribute to the identification, design, and development of innovative internal products, frameworks, and service offerings that enhance CACI's strategic advantage, improve delivery efficiency, and support growth across key market sectors. Technology Coverage Across a broad and evolving technology landscape, including: Enterprise LAN/WAN, SD-WAN, SDA and Wireless architectures Data Centre end to end solutions Routing & switching technologies Network Security, Firewalls, Zero Trust, SASE/SSE Software-defined networking solutions Cloud networking (AWS/Azure/GCP/OCI) - highly desirable Automation, orchestration & Infrastructure-as-Code - desirable What We're Looking For Technical & Professional Expertise Proven experience designing and delivering large-scale network and security solutions across enterprise or service provider environments. Deep understanding of network architecture principles, high availability design, routing protocols, segmentation, security architectures, and cloud networking. Experience acting as the final technical authority or Design Authority on complex engagements. Strong background in pre-sales, tender responses, and solution shaping . Ability to clearly articulate complex technical concepts to non-technical audiences and senior stakeholders. Consultancy & Communication Excellent interpersonal, written, and verbal communication skills-capable of producing well-structured technical documentation and delivering impactful presentations. Ability to engage with business stakeholders and end-users to diagnose issues, propose solutions, and provide strategic recommendations. Comfortable representing the organisation independently, with a focus on delivering outstanding customer experiences. Ways of Working Demonstrably collaborative approach when working with sales, engineering, and delivery functions. Self-sufficient, proactive, and comfortable working in high-pressure environments. Experience working within Agile/Scrum, Waterfall, and hybrid project delivery methodologies. Strong commitment to continuous learning and staying ahead of industry advancements. Desirable Certifications & Skills (Certifications not required but advantageous) CCNP/CCIE, JNCIP/JNCIE, or equivalent expert-level certifications Security vendor certifications from platforms such as Fortinet (NSE), Palo Alto (PCNSE/PCNSA), Cisco Security (CCNP Security/CCIE Security), and Check Point (CCSA/CCSE). Cloud certifications (AWS/Azure/GCP/OCI) Strong understanding of structured delivery and operational frameworks (ITIL, PRINCE2, AgilePM, or similar project/service management certifications) Experience with automation tools (Python, Ansible, Terraform, etc.)
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS) Analyses large amounts of information to discover trends and patterns in complex datasets. Designs experiments and build models that can help improve customer experience or optimise operational efficiency. Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions. Creates visualisations of results using various SaaS platforms or other Python software packages. Monitors performance of models over time by tracking key metrics. Present findings in a clear manner using reports or presentations. What you'll bring Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling. Prior exposure to time series forecasting Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability. Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows. Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights. Comfortable working in Agile environments, participating in sprint planning, retrospectives etc. Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 05, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Your role The Times and The Sunday Times are seeking an experienced Head of Production to lead the operational delivery of our digital storytelling. This is a newly created leadership position designed to unify our production standards across Video and Podcasts. Day to day you will Serve as the single point of accountability for the full production workflow, guaranteeing a smooth, scalable process from recording through post-production to final distribution. Manage the Production Managers who oversee day to day video and podcast output, allowing you to focus on elevating production standards to a singular, world class Times benchmark. Ensure that our technical infrastructure is future proofed for a global audience by identifying and integrating the next generation of production technology, from AI assisted workflows to cloud based collaborative editing. Oversee the departmental budgets across the slate, planning and allocating spend per series and episode, and reallocating resources as needed to ensure optimal delivery outcomes. Establish and oversee robust end of production workflows to ensure all deliverables, paperwork, rights documentation, and compliance materials are accurately completed, securely archived, and distribution ready. Lead negotiations for music licensing, archive access, and technical procurement to ensure our teams have the best tools and rights in place. Coordinate the strategic development of our physical and virtual studio spaces to ensure they are optimised for the overlapping needs of cinematic video, high fidelity audio, and live social broadcasting. Act as the primary operational partner to Heads of departments, translating ambitious investigative journalism into viable, high impact multi platform realities. Serve as the final authority on health and safety, risk assessments, and media law compliance (Copyright, Ofcom, Data Protection) across all non print output. Design and manage a sustainable recruitment and freelance strategy, ensuring a diverse, top tier talent pool is available to meet the demands of a 24 hour newsroom. What we're looking for from you Extensive experience leading production at a senior level within a major media organisation or broadcaster, with a deep, professional understanding of video (long and short form), podcasts, and social first content. A proven track record of management with the ability to move seamlessly between high level operational strategy and the granular details of complex production workflows. Significant experience managing large scale, departmental budgets, with the ability to forecast spend, optimise resources, and deliver maximum value across multiple workstreams. A "systems first" thinker with experience designing and implementing production frameworks that bring together disparate teams into a unified, efficient engine. A sophisticated understanding of current and emerging media technologies, including the transition toward cloud based production and AI integrated workflows. Exceptional communication and diplomacy skills, with the ability to build trust and influence at the highest levels of editorial and commercial leadership. Robust knowledge of media law, copyright, and usage rights across global territories, alongside a deep commitment to rigorous health and safety and risk management protocols. The ability to remain unflappable in a fast paced newsroom environment, pivoting quickly between the immediate demands of breaking news and the long term planning of flagship series. A passion for mentorship and a proven ability to build, lead, and retain diverse, high performing production and technical teams. Benefits Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Wide range of training available, plus full LinkedIn Learning access Private medical insurance including coverage for pre existing conditions Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes Bikes for Work and Electric Car scheme Up to 60% discount on Harper Collins books Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% 30 days holiday, plus bank holidays and up to 4 volunteering days per year We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.
May 05, 2026
Full time
Your role The Times and The Sunday Times are seeking an experienced Head of Production to lead the operational delivery of our digital storytelling. This is a newly created leadership position designed to unify our production standards across Video and Podcasts. Day to day you will Serve as the single point of accountability for the full production workflow, guaranteeing a smooth, scalable process from recording through post-production to final distribution. Manage the Production Managers who oversee day to day video and podcast output, allowing you to focus on elevating production standards to a singular, world class Times benchmark. Ensure that our technical infrastructure is future proofed for a global audience by identifying and integrating the next generation of production technology, from AI assisted workflows to cloud based collaborative editing. Oversee the departmental budgets across the slate, planning and allocating spend per series and episode, and reallocating resources as needed to ensure optimal delivery outcomes. Establish and oversee robust end of production workflows to ensure all deliverables, paperwork, rights documentation, and compliance materials are accurately completed, securely archived, and distribution ready. Lead negotiations for music licensing, archive access, and technical procurement to ensure our teams have the best tools and rights in place. Coordinate the strategic development of our physical and virtual studio spaces to ensure they are optimised for the overlapping needs of cinematic video, high fidelity audio, and live social broadcasting. Act as the primary operational partner to Heads of departments, translating ambitious investigative journalism into viable, high impact multi platform realities. Serve as the final authority on health and safety, risk assessments, and media law compliance (Copyright, Ofcom, Data Protection) across all non print output. Design and manage a sustainable recruitment and freelance strategy, ensuring a diverse, top tier talent pool is available to meet the demands of a 24 hour newsroom. What we're looking for from you Extensive experience leading production at a senior level within a major media organisation or broadcaster, with a deep, professional understanding of video (long and short form), podcasts, and social first content. A proven track record of management with the ability to move seamlessly between high level operational strategy and the granular details of complex production workflows. Significant experience managing large scale, departmental budgets, with the ability to forecast spend, optimise resources, and deliver maximum value across multiple workstreams. A "systems first" thinker with experience designing and implementing production frameworks that bring together disparate teams into a unified, efficient engine. A sophisticated understanding of current and emerging media technologies, including the transition toward cloud based production and AI integrated workflows. Exceptional communication and diplomacy skills, with the ability to build trust and influence at the highest levels of editorial and commercial leadership. Robust knowledge of media law, copyright, and usage rights across global territories, alongside a deep commitment to rigorous health and safety and risk management protocols. The ability to remain unflappable in a fast paced newsroom environment, pivoting quickly between the immediate demands of breaking news and the long term planning of flagship series. A passion for mentorship and a proven ability to build, lead, and retain diverse, high performing production and technical teams. Benefits Maternity leave up to 18 weeks full basic salary & paternity leave up to 2 weeks Wide range of training available, plus full LinkedIn Learning access Private medical insurance including coverage for pre existing conditions Discounted gym memberships, free ClassPass at Home, weekly virtual yoga classes Bikes for Work and Electric Car scheme Up to 60% discount on Harper Collins books Access to exclusive events and competitions with exciting brands such as talkSPORT, Virgin Radio UK & The Times. Weekly virtual panel chats with top journalists and celebrities Access to wellbeing benefits such as EAP, physio/massage and counselling A generous pension scheme with employer contributions of up to 5% 30 days holiday, plus bank holidays and up to 4 volunteering days per year We are committed to providing an inclusive recruitment process. If you require reasonable adjustments due to a disability or health condition at any stage of your application or interview, please let us know. You can contact us at to discuss how we can support you to perform at your best.
Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large governments. We've blocked almost 200 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks. Our purpose and passion are focused on just one thing: protecting the world from cybercrime. That passion shapes how we work, too. We're proud of our talented team and the value each person brings, and we've built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. The Role This is a hands on, delivery focused role where you'll partner closely with hiring managers to drive hiring outcomes across a wide range of roles-from entry level through senior hires. You'll operate with a high degree of ownership, managing the full recruiting lifecycle while proactively identifying opportunities to improve processes and drive efficiency. This role offers the opportunity to make a meaningful impact on hiring across the UK, working closely with high priority teams while building strong stakeholder relationships and helping shape how we attract and hire talent in a fast paced, evolving environment. It's well suited for someone who is self sufficient, proactive, and motivated by seeing the direct results of their work. What You'll Do Own end to end (full cycle) recruiting across the UK, supporting roles from entry level through senior hires Partner closely with hiring managers-across Technical Operations, Sales, Product, Engineering, and G&A functions Lead intake meetings to align on role requirements, timelines, and candidate profiles Proactively source and engage talent using a variety of tools and creative strategies Manage the full candidate lifecycle including screening, assessment, interview coordination, and offer processing Deliver a consistent, high quality candidate experience from initial outreach through offer acceptance Act as a reliable partner to stakeholders by setting expectations, providing updates, and maintaining momentum across searches Manage multiple requisitions simultaneously in a fast paced environment Bring clarity to ambiguous or evolving hiring needs Maintain accurate data, workflows, and reporting within the ATS What We're Looking For Recruiting Experience in a fast paced or high growth environment Proven experience owning full cycle recruiting across a range of roles and seniority levels Strong stakeholder management skills, with the ability to build trust and manage expectations Experience recruiting in B2B environments Exposure to cybersecurity or technical domains preferred Strong understanding of the UK talent market Experience recruiting in the US market is a bonus Hands on experience with sourcing tools and proactive talent engagement Prior experience with Greenhouse is strongly preferred Ability to multi task effectively and manage competing priorities Comfortable operating in ambiguous environments, with a bias for action and problem solving Strong attention to detail and process discipline Comfortable working with limited direction and bringing structure to evolving or ambiguous hiring needs Demonstrates strong ownership and initiative, with the ability to work independently and proactively drive work forward Why Join Netcraft Opportunity to own and deliver hiring across the UK, with real visibility and impact Exposure to a wide range of roles from entry level through senior hiring Be part of a mission driven cybersecurity company tackling real world threats Join a global, high performing Talent Acquisition team where execution and impact are highly valued The Reward Package 33 days annual leave - includes public holidays which can be worked if you prefer Generous enhanced family leave and pay Enhanced Sick Pay from day 1, rising to 12 weeks full pay after 6 months Salary sacrifice pension with matched employer contributions up to 5% + NI savings Private health cover, including access to a private GP service Life Assurance at 4 salary Equity tracking scheme (eligibility criteria apply) - allowing you to share in Netcraft's long term success Hybrid and flexible working options Meals, snacks, and drinks provided in the office Comprehensive health, safety, and wellness service available 24/7 for you and your family Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year, to allow you to contribute to your wider community or charity Spot reward bonus scheme to reward truly outstanding contributions Diversity, Equity & Inclusion This is deeply important to us. Through our ally network, we support under represented groups and maintain a working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. We're also happy to make adjustments to the hiring process to ensure every candidate can participate fully. Please note: Netcraft does not accept unsolicited approaches from external recruiters.
May 05, 2026
Full time
Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large governments. We've blocked almost 200 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks. Our purpose and passion are focused on just one thing: protecting the world from cybercrime. That passion shapes how we work, too. We're proud of our talented team and the value each person brings, and we've built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. The Role This is a hands on, delivery focused role where you'll partner closely with hiring managers to drive hiring outcomes across a wide range of roles-from entry level through senior hires. You'll operate with a high degree of ownership, managing the full recruiting lifecycle while proactively identifying opportunities to improve processes and drive efficiency. This role offers the opportunity to make a meaningful impact on hiring across the UK, working closely with high priority teams while building strong stakeholder relationships and helping shape how we attract and hire talent in a fast paced, evolving environment. It's well suited for someone who is self sufficient, proactive, and motivated by seeing the direct results of their work. What You'll Do Own end to end (full cycle) recruiting across the UK, supporting roles from entry level through senior hires Partner closely with hiring managers-across Technical Operations, Sales, Product, Engineering, and G&A functions Lead intake meetings to align on role requirements, timelines, and candidate profiles Proactively source and engage talent using a variety of tools and creative strategies Manage the full candidate lifecycle including screening, assessment, interview coordination, and offer processing Deliver a consistent, high quality candidate experience from initial outreach through offer acceptance Act as a reliable partner to stakeholders by setting expectations, providing updates, and maintaining momentum across searches Manage multiple requisitions simultaneously in a fast paced environment Bring clarity to ambiguous or evolving hiring needs Maintain accurate data, workflows, and reporting within the ATS What We're Looking For Recruiting Experience in a fast paced or high growth environment Proven experience owning full cycle recruiting across a range of roles and seniority levels Strong stakeholder management skills, with the ability to build trust and manage expectations Experience recruiting in B2B environments Exposure to cybersecurity or technical domains preferred Strong understanding of the UK talent market Experience recruiting in the US market is a bonus Hands on experience with sourcing tools and proactive talent engagement Prior experience with Greenhouse is strongly preferred Ability to multi task effectively and manage competing priorities Comfortable operating in ambiguous environments, with a bias for action and problem solving Strong attention to detail and process discipline Comfortable working with limited direction and bringing structure to evolving or ambiguous hiring needs Demonstrates strong ownership and initiative, with the ability to work independently and proactively drive work forward Why Join Netcraft Opportunity to own and deliver hiring across the UK, with real visibility and impact Exposure to a wide range of roles from entry level through senior hiring Be part of a mission driven cybersecurity company tackling real world threats Join a global, high performing Talent Acquisition team where execution and impact are highly valued The Reward Package 33 days annual leave - includes public holidays which can be worked if you prefer Generous enhanced family leave and pay Enhanced Sick Pay from day 1, rising to 12 weeks full pay after 6 months Salary sacrifice pension with matched employer contributions up to 5% + NI savings Private health cover, including access to a private GP service Life Assurance at 4 salary Equity tracking scheme (eligibility criteria apply) - allowing you to share in Netcraft's long term success Hybrid and flexible working options Meals, snacks, and drinks provided in the office Comprehensive health, safety, and wellness service available 24/7 for you and your family Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year, to allow you to contribute to your wider community or charity Spot reward bonus scheme to reward truly outstanding contributions Diversity, Equity & Inclusion This is deeply important to us. Through our ally network, we support under represented groups and maintain a working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. We're also happy to make adjustments to the hiring process to ensure every candidate can participate fully. Please note: Netcraft does not accept unsolicited approaches from external recruiters.
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
May 05, 2026
Full time
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
