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iProov is seeking a Biometric Systems Lead to steer the evolution of our biometric platform from research through production. You will report to the VP, Biometric Platform and lead a cross-functional team spanning CV/ML, product, and software engineering in a hybrid London setting.
You will mentor engineers, build roadmaps for long-term biometric needs, and ensure delivery against precision, recall, bias, speed, and cost metrics.
iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.
This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.
The Role
Reports to: VP, Biometric Platform
Location: WeWork Waterloo, London - Hybrid (At least once per week)
Comp: £90,000 to £100,000 (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
The Biometric Systems Lead owns how iProov's biometric platform evolves, from research and prototyping through to production. Reporting to the VP, Biometric Platform, you'll lead the Biometric Systems function; scoping and delivering new systems, improving existing ones, and making sure they hold up against the measures that matter (precision, recall, bias, speed, cost and robustness). Bias detection sits with you, alongside the feedback-code work that shapes how real people interact with the technology, and the customer-specific features that arrive as awkward problems and need turning into workable solutions.
It's a varied, cross-functional role, spanning Computer Vision, Machine Learning, Product, Research and Software Engineering, with a longer-term roadmap to build and a team to mentor. We're hiring first for collaboration, communication and mentoring, technical enough to earn the team's trust, and dependable enough that you can be handed a problem and trusted to come back with a solution.