3 of 3 Contract Machine Learning Jobs in West London

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 … 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 ...

efficient cross-platform data sharing and analytics. Define target-state technical patterns for how multiple platforms co-exist or converge (data engineering, storage, ML/AI, BI, security, and governance). Contribute to the target architecture blueprint with concrete reference architectures, pattern catalogues, and technical guardrails. Propose migration approaches ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...