Computer Vision Research Engineer (PAD)
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.
Responsibilities
- 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.
Qualifications
- A Masters or PhD in a numerate discipline such as Computer Science, Engineering, or 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.
- Personalised 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.
- The Vitality Programme includes reward benefits such as Private Health cover (Dental, Optical, Audiology), 50% off monthly gym memberships, Apple watches significantly discounted based on 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 and Mr & Mrs Smith, Amazon Prime free months based on activity, up to 25% cashback at Waitrose, 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 ability to earn Vitality points for using Buddhify, Calm and Headspace, discounts on Weight Watchers, 50%-80% off comprehensive private health screenings.
Equal Opportunity and Legal Requirement
As an equal opportunities employer, we encourage applications from people of all backgrounds. We are 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, colour, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity.
