At a Glance
- Tasks: Drive research in machine learning and biometrics, developing innovative algorithms and models.
- Company: Join iProov, a leader in biometric identity assurance with a diverse and inclusive culture.
- Benefits: Enjoy 25 days annual leave, growth shares, and access to private health services.
- Other info: Flexible hybrid work environment with excellent career coaching and global work opportunities.
- Why this job: Make a real impact on security technology while collaborating with talented teams.
- Qualifications: Masters or PhD in a numerate discipline; experience in machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
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: Head of Core AI
Location: WeWork Waterloo - Hybrid
Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
iProov is looking for a Machine Learning Engineer to join our Core 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:
- Drive research projects in the areas of computer vision, machine learning and biometrics.
- Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution.
- Develop and train deep learning models for face verification, liveness and attack detection.
- Improve upon data and evaluation strategies, including synthetic and adversarial data.
- Investigate failure modes and improve generalisation, robustness and fairness.
- Collaborate cross-functionally to turn models into production-quality services.
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.
- Enjoys collaborating with cross-functional teams.
- Proficiency in Python and modern deep learning frameworks.
- Strong problem-solving skills and out-of-box thinking.
Extras:
- Experience working on 0->1 products.
- Experience generating and using synthetic data.
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.
Remote ML Engineer (CoreAI) in Surrey employer: iProov
iProov is an exceptional employer that champions diversity and inclusion, creating a supportive environment where every employee can thrive. With a hybrid work model based in the vibrant WeWork Waterloo in London, employees enjoy flexible working arrangements alongside competitive benefits, including a performance bonus and share options. The company prioritises personal growth and innovation, empowering its team to make meaningful contributions to cutting-edge biometric solutions that enhance security for clients worldwide.
