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Senior Research Engineer

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iProov

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
  • 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
What we offer:
  • 25 days Annual Leave, plus 8 Bank Holidays
  • Growth Shares allocated after passing probation
  • 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
  • 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
  • Vitality Health - a range of options available
  • 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
  • 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
  • 50%-80% off Comprehensive Private Health screenings

Additional Information:

Job Posted:
December 25, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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