Location: Osterley, UK

Duration: Contract

Job Description:

• 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 latency 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.