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
Leading the development and improvement of computer vision algorithms from concept through to production
Designing, implementing, testing, and validating complex algorithmic features
Taking ownership of algorithmic components and driving their long-term maintainability and technical quality
Collaborating closely with engineers across computer vision, tracking, tooling, and platform teams
Contributing to technical discussions around architecture, performance, scalability, and deployment
Identifying weaknesses in existing approaches and proposing pragmatic improvements
Sharing progress, decisions, and learnings with the wider team
Supporting and mentoring other engineers through code reviews and technical guidance