Principal Computer Vision Engineer

Leading the design and evolution of ball and player tracking algorithms using multi-camera systems
Owning multi-view geometry solutions across entire tracking pipelines
Driving improvements in occlusion handling, recovery and system robustness in live sports environments
Overseeing mature computer vision systems used in real-time production
Guiding performance optimisation across CPU and GPU workloads
Ensuring consistency and reliability across cross-platform deployments
Supporting integration into cloud-enabled and distributed systems
Influencing how systems are designed, built and scaled across the organisation
Lead the development of computer vision systems from concept through to production at a system level
Set technical direction and standards across algorithmic and engineering approaches
Own critical components and ensure long-term maintainability, scalability and quality
Work closely with discipline leads and engineers across CV, tracking, tooling and platform teams
Drive architectural discussions around performance, scalability and deployment
Identify limitations in existing systems and lead pragmatic improvements
Mentor and support engineers through technical guidance, reviews and collaboration
Act as a technical escalation point for complex challenges