> Markdown version of [/jobs/ext/1496135-ai-ml-data-science-engineer](https://www.wearedevelopers.com/jobs/ext/1496135-ai-ml-data-science-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Data Science Engineer - **Company:** FBI &TMT - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Cyber Security, Data Infrastructure, Data Warehousing, Knowledge-Based Systems, Machine Learning, Sensor Fusion, System Availability, Low Latency - **Published:** July 30, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/42375742/ ## About the Role problem definitions with stakeholders in ambiguous environmentsBring best practices from adjacent industries into a high-performance settingData Engineering & ArchitectureDesign/maintain pipelines integrating telemetry/timing, video/image, event operations, and digital/commercial engagement dataDevelop APIs/services to expose analytics internallyEnsure high availability and low latency where requiredCross-functional deliveryPartner with Broadcast/Media, Operations, Commercial/Marketing, Cybersecurity/ITCommunicate clearly to technical and exec audiences; become a trusted AI/data partnerGovernance, compliance & securityResponsible AI practices, privacy/governance support, and secure-by-design delivery with cyber teamsWhat we're looking forEssentials5-10 years' experience in data science / AI / ML engineeringStrong PythonProduction ML deployment experience (end-to-end)Strong SQL + modern data warehouse experienceCloud familiarity + containerisation/orchestrationStreaming data knowledgeSolid stats/probability + evaluation + feature engineeringStrong stakeholder communication + documentation; comfortable in event-driven environmentsDesirableReal-time data environments; CV/video analytics; edge/low-latency; telemetry/IoT; sensor fusion; cybersecurity exposureTPBN1_UKTJ ## Description Job DescriptionLocation: South East London / Kent (hybrid - 3 days on-site )Type: PermanentSalary: Up to £88,000 + bonusSector: Global sports & entertainment / live event technologyA world-leading, globally recognised sports & entertainment organisation is hiring an AI/ML / Data Science Engineer to join its Innovation & Technology function. This role will design, build, and deploy intelligent data products and AI/ML solutions that support real-time operations, media/broadcast experiences, and digital fan engagement.What you'll be doingAI & Machine LearningBuild and deploy ML models across: Predictive analytics (performance trends, forecasting)Computer vision (video analysis, media enhancement)NLP (fan insights, content intelligence, knowledge systems)Anomaly detection (telemetry/operations monitoring)Build scalable inference pipelines (real-time + batch)Implement monitoring, drift detection, and retraining workflowsPrototype quickly to prove value, then scale into productionShape ## Related Videos - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) - [Cyber Security: Small, and Large!](https://www.wearedevelopers.com/videos/259-cyber-security-small-and-large) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)