At a Glance
- Tasks: Innovate and develop biometric solutions to enhance security for millions worldwide.
- Company: Join iProov, a leader in biometric technology with a focus on diversity and inclusion.
- Benefits: Enjoy 25 days annual leave, flexible working, and access to personal career coaching.
- Why this job: Be at the forefront of tech, tackling real-world challenges in biometric security.
- Qualifications: Master's or PhD in a quantitative field; experience in machine learning and computer vision.
- Other info: Collaborative culture that values diverse perspectives and encourages innovative thinking.
The predicted salary is between 42500 - 58500 £ 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: VP, Research
Location: WeWork Waterloo, London - Hybrid
Comp: 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.
In this role, you’ll spend most of your time exploring and innovating, developing new biometric tests from palm and fingerprint matching to advanced presentation-attack detection to stay one step ahead of attackers. You’ll design acquisition systems and then stress-test them by trying to spoof and break your own work, ensuring our defences are ready before real-world threats appear. You’ll tackle complex challenges in biometric acquisition, improve data quality, and create samples that closely mimic contact-based systems. Most importantly, you’ll anticipate and defend against threats that haven’t even been imagined yet, keeping our technology secure long after it goes live.
How you can make an impact
- As a Research Engineer, you will use state-of-the-art Deep Learning technology to develop creative solutions for exciting, industry-defining problems.
- Take ownership of research areas in computer vision, machine learning, and biometrics.
- Work collaboratively with the research team to find the best solutions.
- Communicate research outcomes and findings across the company.
- Contribute to the broader research strategy of the team.
- Challenge the existing solutions and improve the status quo.
- Contribute to a strong team ethic, encouraging psychological safety and inclusivity.
What we would like to see from you
- A 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 in developing research projects using Python.
- A 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.
- The 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.
- You have excellent interpersonal skills and enjoy collaborating to refine solutions.
- You are naturally curious and love exploring new ideas.
- You have the perseverance and desire to solve challenging problems.
- You feel confident in suggesting and discussing your ideas.
- You enjoy the exploratory and dynamic nature of research.
- You are eager to learn new techniques and technologies.
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.
Research Engineer (Research) in London employer: iProov
Contact Detail:
iProov Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (Research) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current iProov employees on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a project or a portfolio, make sure to share it during interviews or networking events. Demonstrating your expertise in machine learning or computer vision can really set you apart.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of biometric security and deep learning techniques. Being able to discuss your thought process and problem-solving approach will impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the iProov team.
We think you need these skills to ace Research Engineer (Research) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Research Engineer role. Highlight your experience in machine learning and computer vision, and don’t forget to mention any relevant projects you've worked on. We want to see how your skills align with what we do at iProov!
Show Your Passion: Let your enthusiasm for biometric technology shine through! Share examples of how you've tackled complex challenges or explored new ideas in your previous roles. We love seeing candidates who are genuinely excited about pushing the boundaries of technology.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and you can easily track your application status. Plus, it’s the best way to show us you’re serious about joining our team!
How to prepare for a job interview at iProov
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest advancements in machine learning and computer vision. Brush up on your knowledge of Python libraries like NumPy, Pandas, and Scikit-learn, as well as Deep Learning frameworks such as PyTorch or TensorFlow. Being able to discuss these technologies confidently will show that you're not just a candidate, but a potential asset to their team.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Think about examples where you had to innovate or experiment with new ideas. This role is all about pushing boundaries, so demonstrating your ability to think outside the box will definitely impress them.
✨Communicate Clearly and Effectively
Since the role involves explaining complex concepts, practice articulating your thoughts clearly. You might want to explain your past research or projects to a friend or family member who isn’t in tech. If they can understand it, you’re on the right track! Good communication skills are key in a collaborative environment.
✨Embrace the Culture of Curiosity
iProov values diversity and curiosity, so be prepared to discuss how you embrace these principles. Share your experiences of working in diverse teams and how you’ve contributed to an inclusive environment. Showing that you align with their culture will help you stand out as a candidate who fits right in.