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.
The Role
Research Engineer. Reports to: VP, Research. Location: WeWork Waterloo, London – Hybrid. Compensation: Up to £65k (Base) + Company Performance Bonus (10%) + Share Options + iProov Benefits.
We’re looking for a Research Engineer who thrives at the cutting edge of technology, someone who doesn’t just ask questions but brings ideas, experiments, and solutions to the table. You’ll be part of a collaborative, low‑ego team pushing the boundaries of liveness verification and biometric security to protect millions of users worldwide.
Responsibilities
- Explore and innovate, developing new biometric tests from palm and fingerprint matching to advanced presentation‑attack detection to stay one step ahead of attackers.
- Design acquisition systems and stress‑test them by trying to spoof and break your own work, ensuring our defences are ready before real‑world threats appear.
- Tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact‑based systems.
- Anticipate and defend against threats that haven’t been imagined yet, keeping our technology secure long after it goes live.
- Use state‑of‑the‑art deep learning technology to develop creative solutions for industry‑defining problems.
- Take ownership of research areas in computer vision, machine learning, and biometrics, and collaborate with the research team to find the best solutions.
- Communicate research outcomes and findings across the company, contributing to the broader research strategy of the team.
- Challenge existing solutions, improve the status quo, and contribute to a strong team ethic, encouraging psychological safety and inclusivity.
Qualifications
- Master’s or PhD in a quantitative field such as computer science, engineering, or computational neuroscience.
- Experience in machine learning and computer vision.
- Strong mathematical skills.
- Experience developing research projects using Python.
- Solid understanding of machine learning techniques, including neural networks.
- Familiarity with Python libraries such as NumPy, Pandas, and scikit‑learn.
- Experience with deep learning libraries like PyTorch or TensorFlow.
- Ability to process large amounts of data, including unstructured data.
- Excellent communication skills for understanding and explaining complex concepts.
- Strong programming skills with a good grasp of data structures, object‑oriented programming, and software engineering principles.
- Good time management and organizational skills.
- Great to have (but not essential): understanding of multiple machine learning disciplines such as image processing, computer vision, signal processing, natural language processing, and pattern recognition.
- Experience with Docker and Google Cloud Platform.
- Experience with DevOps tools for experiment tracking, automation, and dataset versioning.
- Excellent interpersonal skills and collaboration.
- Curiosity, perseverance, and willingness to solve challenging problems.
- Confidence in suggesting and discussing ideas, enjoying exploratory research, and eagerness to learn new techniques and technologies.
Benefits
- 25 days annual leave, plus 8 bank holidays (additional up to 5 days per year based on continuous service).
- Growth shares allocated after passing probation (6 months of service).
- Salary sacrifice schemes: 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, and tailored fitness plans for you and your family.
- Personalised 1:1 career coaching with our in‑house occupational psychologist.
- Award‑winning L&D platform with personal training budgets.
- Enhanced paid family leave.
- Pension: 5% employee, 3% employer.
- Flexible hybrid working environment.
- Free barista coffee/tea, biscuits, and fruit in the WeWork office.
- Free access to WeWork discounts and free online well‑being sessions.
- Vitality program benefits: private health cover (dental, optical, audiology), 50% off monthly gym memberships, discounted Apple watches, 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&MrsSmith, Amazon Prime free months based on activity, up to 25% cashback at Waitrose for healthy foods, 75% off stays at Champneys Health Spas, AllenCarr’s £299 no‑smoking programme 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 Opportunities
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, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity.
Recruitment Process
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.
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