Science - Senior Research Engineer (Core AI) in London

Science - Senior Research Engineer (Core AI) in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
iProov

At a Glance

  • Tasks: Lead innovative research in computer vision and machine learning for biometric security.
  • Company: Join iProov, a leader in biometric solutions trusted by top governments and enterprises.
  • Benefits: Enjoy 25 days leave, flexible working, and access to wellness programmes.
  • Other info: Dynamic culture that values diversity, curiosity, and innovation.
  • Why this job: Make a real impact in security tech while working with cutting-edge AI.
  • Qualifications: 2-3 years in machine learning or computer vision; Masters or PhD preferred.

The predicted salary is between 36000 - 60000 £ per year.

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: Head of Core AI
  • Location: UK - Hybrid (3x 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 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.

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 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.

Extras:

  • 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.
  • 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.
  • 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.

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.

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.

Science - Senior Research Engineer (Core AI) in London employer: iProov

iProov is an exceptional employer that champions diversity and inclusion, fostering a culture where every individual can thrive and contribute their unique talents. With a hybrid working model based in London, employees enjoy a wealth of benefits including generous annual leave, personal career coaching, and access to health and wellness programmes, all while working on cutting-edge biometric technology that makes a real-world impact. The company prioritises employee growth through tailored training budgets and a supportive environment, making it an ideal place for those looking to advance their careers in a meaningful way.

iProov

Contact Details:

iProov Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Science - Senior Research Engineer (Core AI) in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to computer vision and machine learning. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in collaborative environments like iProov.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the iProov team and contributing to our mission.

We think you need these skills to ace Science - Senior Research Engineer (Core AI) in London

Computer Vision
Machine Learning
Deep Learning
Python
Data Evaluation Strategies
Robustness and Fairness Improvement
Synthetic Data Generation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Research Engineer role. Highlight your experience in machine learning and computer vision, and don’t forget to showcase any relevant projects you've led. We want to see how your skills align with what we do at iProov!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about biometric security and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Problem-Solving Skills:In your application, be sure to highlight specific examples of how you've tackled complex problems in your previous roles. We’re looking for those out-of-the-box thinkers who can bring innovative solutions to the table, so don’t hold back!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at iProov!

How to prepare for a job interview at iProov

Know Your Stuff

Make sure you brush up on your knowledge of computer vision and machine learning. Be ready to discuss your past projects in detail, especially those that relate to facial biometric systems. This will show your expertise and passion for the field.

Showcase Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. iProov values innovative thinking, so think outside the box and be ready to share examples of how you've approached complex problems.

Understand the Company Culture

Familiarise yourself with iProov's commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a collaborative environment and support their mission of creating a safer world through technology.

Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Ask about their approach to tackling deepfake threats or how they foster innovation within the team.