Senior Machine Learning Engineer

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: Head of Core AI
Location: UK - Hybrid (3x times per week in the office)
Compensation: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits

iProov has continued to scale rapidly this year and is currently looking for a Senior Research Engineer to join the growing Core AI team based in London. As a Senior Research Engineer in Core AI, you will design, build and ship the computer vision and ML models that power iProov’s facial biometric and liveness systems. You’ll own projects end‑to‑end, from idea and experiment to production integration and incident response, in a highly adversarial security context.

How you can make an impact:

• Lead research projects in the areas of computer vision, machine learning and biometrics.
• Develop and train deep learning models for face verification, liveness and attack detection.
• Take the lead on shaping data and evaluation strategies, including synthetic and adversarial data.
• Investigate failure modes and improve generalisation, robustness and fairness.
• Work with platform and optimisation engineers to turn models into production‑quality services.
• Communicate results and recommendations clearly with stakeholders across the business.
• Contribute to the broader research strategy of the company.

What we would like to see from you:

• At least 2‑3 years experience delivering machine learning or computer vision systems in an industry environment.
• A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience.
• Proven experience of high‑quality delivery in machine learning and computer vision.
• Strong mathematical ability.
• Proficiency in Python and modern deep learning frameworks.
• Strong problem‑solving skills and out‑of‑box thinking.
• Experience working on challenging problems at the frontier of the field of computer vision.
• Experience generating and using synthetic data.
• Experience mentoring or supervising junior engineers.

For curious self‑starters ready to make an impact:

• Interest in security and understanding vulnerabilities in detection systems.
• A proactive and holistic approach to identifying and solving complex problems through machine learning.
• A collaborative mindset to work closely with cross‑functional teams to ensure system quality.
• Genuine interest in facial imagery, deepfakes and their impact on biometric security.

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&D platform with personal allocated training budgets.
• Enhanced paid family leave.
• 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.
• Vitality Health - a range of options available on this below.
• Private Health cover including Dental, Optical, and Audiology.
• 50% off monthly gym memberships.
• Apple watches significantly discounted based member vitality status.
• Half price trainers with Runners Need.
• Weekly rewards – Free coffee with Café Nero.
• Monthly rewards – Free Cinema ticket.
• Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status.
• Amazon prime free months based on activity.
• Up to 25% cashback at Waitrose when buying healthy foods.
• 75% off stays at Champneys Health Spas.
• Allen Carr’s £299 no smoking programme for free.
• Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace.
• Discounts on Weight Watchers.

Our Culture & Recruitment Process

At iProov, we’re incredibly proud of the culture we’ve carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed – we want everyone to feel confident in bringing their full capabilities to work. 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.

As an equal opportunities employer, we encourage applications from people of all backgrounds. 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. Our goal is to find people who are passionate about creating a safer, more secure world.

Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to careers@iproov.com.