Senior Computer Vision Engineer (Action Recognition)

📋 Description Define and prioritize CV/ML experiments to validate risks (precision, recall, latency) Build end-to-end CV/ML pipelines on real-world video data from ingestion to deployment Set up and refine the annotation workflow for video datasets Collaborate with product and engineering to align on milestones and roadmaps Select and optimize CV architectures for action detection in unconstrained environments Provide technical leadership in video CV, shaping practices and hiring 🎯 Requirements University degree in CS/EE/Math or related field (advanced degree a plus) Hands-on CV/ML experience: design, training, evaluation, deploy Proven track record building end-to-end CV/ML systems (0→1) Strong video-based pipelines and action/behavior recognition expertise Software engineering skills in Python and ML/CV frameworks with noisy data Ability to work in dynamic environments and iterate quickly 🎁 Benefits Flexible, office, hybrid or home working Equity plan in a high-growth company Great Place to Work certified in 7 countries Office infrastructure for hybrid work (London, Zurich, Warsaw, Tampere) Remote work support across UK, Finland, Poland, Germany Birthday off and other employee perks