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iProov

Research Engineer (PAD)

London
£50k – £75k/yr
Posted 1 day ago
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Computer Vision Research Engineer (PAD)

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: Platform AI Lead
Location: WeWork Waterloo - Hybrid (2+ days a week in office)
Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits

iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance.

How you can make an impact

  • 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What we would like to see from you

  • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, 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
  • 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 on this below

The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example:

  • 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
  • 50%-80% off Comprehensive Private Health screenings

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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

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Skills

Computer Vision
Machine Learning
Biometric Security
Algorithm Development
Prototyping
Generative AI
Data Analysis
Presentation Attack Detection
Synthetic Media Detection
Model Development
Research
Cross-functional Collaboration

Location

London, England, United Kingdom

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