Science - Senior Research Engineer; Core AI

iProov
London, GB
Hybrid

Job Description

Position: Science - Senior Research Engineer (Core AI)

Location: Greater London

Science - Senior Research Engineer (Core AI) at iProov

Senior Research Engineer

Abouti Proov

iProov provides science-based biometrics 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 live‑ness 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, Gov Tech 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

Reportsto: Head of Core AI

Location: UK Hybrid (3 times per week in the office)

Comp: 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 biometrics 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 delivering machine learning or computer vision systems in an industry environment.
  • A Master’s or PhD in an enumerated 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 frontiers 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.
  • 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.
  • 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
  • Smart Health 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…

Skills & Requirements

Technical Skills

PythonDeep LearningComputer VisionMachine LearningBiometricsLiveness DetectionSynthetic DataProblem SolvingOut-of-the-box ThinkingSecurity UnderstandingMentoringBiometricsSecurity

Level

senior

Posted

3/27/2026

Apply Now

You will be redirected to iProov's application portal.