ML Engineer (PAD) About iProov 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: Platform AI Lead Location: WeWork Waterloo - Hybrid (2+ days a week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a ML Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. How you can make an impact Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks. Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses. Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security. Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems. Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems. Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products. Collaborate with engineers and researchers to share findings and bring new ideas into production. What we would like to see from you A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience. Proven proficiency or experience in machine learning and computer vision. Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions. Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions. Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems. Strong communication skills and enjoys working with cross-functional teams. Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service) Growth Shares allocated after passing probation (6 months of service) Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme Nursery Sacrifice Scheme Work Overseas Perk - Work globally for up to 2 weeks Life Assurance SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist Award winning L
