Senior Machine Learning Engineer (Biometrics & Face Recognition)

📋 Description

• Design, train and evaluate models for face detection, face recognition and 1:1 face matching
• Support the team's work on liveness and presentation attack detection (PAD) against spoofs, replays
• Define quality metrics, benchmarks and test sets that meet high-assurance and regulatory
• Own the full loop: data collection and labelling strategy, prototyping, training, evaluation
• Optimise models for on-device inference with our C++ engineers (quantisation, pruning, mobile
• Track research in biometrics and face anti-spoofing, and turn it into product direction

🎯 Requirements

• 5+ years as an ML engineer, with production models shipped to real users
• Hands-on experience with biometrics: face recognition, face verification, liveness or PAD
• Fluent in Python and at least one deep learning framework (PyTorch preferred)
• Strong grasp of evaluation for security-sensitive systems: FAR/FRR, bias and fairness across
• Clear communicator who works well across disciplines
• Eligible to work in the hiring location

🎁 Benefits

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge
• Hackathons
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings, Micro Adventures
• Festive/end of year all company celebrations