Senior Machine Learning Engineer (Python) in London

Graduate Machine Learning Engineer iProov provides science-based biometric solutions that enable the world’s most security-conscious organisations 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. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. 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. Reports to: Head of Core AI Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Graduate Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. Drive research projects in the areas of computer vision, machine learning and biometrics. Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution. Improve upon data and evaluation strategies, including synthetic and adversarial data. Collaborate cross-functionally to turn models into production-quality services. 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. Proficiency in Python and modern deep learning frameworks. Experience generating and using synthetic data. 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 ~ 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 ~ Award winning L&D platform with personal allocated training budgets ~ Enhanced paid family leave ~ Pension - 5% employee, 3% employer ~ Flexible hybrid working environment ~ Free Barista Coffee/Tea, biscuits with fruit in the WeWork office ~ Free access to WeWork discounts and free online well-being sessions ~ Private Health cover including Dental, Optical, and Audiology ~50% off monthly gym memberships ~ Apple watches significantly discounted based member vitality status ~ Weekly rewards – Free coffee with Café Nero ~ Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status ~ Up to 25% cashback at Waitrose when buying healthy foods ~Discounts on Weight Watchers ~50%-80% off Comprehensive Private Health screenings We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to careers@iproov.