Senior Computer Vision Engineer

Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios
Enhancing and maintaining mature, long-running computer vision systems used in live production
Optimising algorithms for performance and reliability, including CPU and GPU considerations
Contributing to cross-platform systems, ensuring algorithms run consistently across environments
Supporting the integration of algorithms into cloud-enabled and distributed systems
Working in an agile environment to deliver robust, production-ready solutions at scale
Lead the development and improvement of computer vision algorithms from concept through to production
Design, implement, test, and validate complex algorithmic features
Take ownership of algorithmic components and drive their long-term maintainability and technical quality
Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams
Contribute to technical discussions around architecture, performance, scalability, and deployment
Identify weaknesses in existing approaches and propose pragmatic improvements
Share progress, decisions, and learnings with the wider team
Support and mentor other engineers through code reviews and technical guidance