Principal Machine Learning Engineer; Live Sports Insights

Responsibilities

• Lead end‑to‑end development of AI solutions using Computer Vision, Machine Learning, and Generative AI to enable automated sports metadata generation and key event detection in live content and data streams.
• Generate actionable insights for player performance, contextual statistics, and injury risk, embedding responsible and ethical AI principles from design through deployment.
• Integrate model‑driven insights into personalization engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate data use.
• 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‑latency, highly reliable cloud‑based 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.

• Proven senior‑level engineering experience delivering data‑driven ML systems, with clear ownership of technical direction, mentoring, and delivery.
• Working knowledge of modern ML techniques, including Generative AI, and experience with multimodal sports data (numerical, spatial, video, metadata).
• Advanced Python expertise with strong hands‑on use of ML/DL frameworks (PyTorch, Tensor Flow), 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, including mentoring and guiding senior and mid‑level data scientists, with a track record of adapting to fast‑changing environments and supporting teams through uncertainty.

• Understanding of sports data, including hands‑on experience with event data, tracking data, or other high‑volume sports datasets, and converting these into actionable analytical or predictive insights.
• Passion for sport and a desire to push the sports experience to the next level.

• Sky Q subscription for the TV you love all in one place.
• Exclusive rate on Sky Glass.
• A generous pension package.
• Private healthcare.
• Discounted mobile and broadband.
• A wide range of Sky VIP rewards and experiences.

We are a Disability Confident Employer and welcome and encourage applications from all candidates. We will make reasonable adjustments to support you where appropriate. All applicants will undergo a criminal record check if the role requires it.

Two days a week onsite at our Osterley office; the remainder of the week can be worked remotely.