Computer Vision Engineer

• Developing and improving football ball and player tracking algorithms using multi-camera systems
• Contributing to multi-view geometry solutions for accurate tracking across the field of play
• Supporting approaches to handling occlusion and recovery in fast-paced sports scenarios
• Enhancing existing, mature computer vision systems used in live production
• Optimising algorithms with performance and reliability in mind, including CPU and GPU considerations
• Working in an agile environment to deliver robust, production-ready solutions

Computer Vision Engineer – Algorithms

• 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

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Computer Vision Engineer – Algorithms

Principal Computer Vision Engineer