Graduate ML Engineer

iProov; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Company performance bonus

Share options

Pension plan

Cycle To Work

Life Assurance

Job summary

iProov is seeking a Machine Learning Engineer to join the Core AI team, focusing on biometric systems, new techniques, and algorithms ensuring security and performance.

You will drive vision and ML research, develop models for face verification, liveness and attack detection, and collaborate to deploy production-quality services within a hybrid working environment.

Qualifications

• Masters/PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience.
• 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.
• Experience working on 0→1 products.
• Experience generating and using synthetic data.

Responsibilities

• 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.

Skills

Machine learning

Computer vision

Python

Synthetic data

Problem solving

Collaboration

Education

Masters or PhD in Computer Science/Engineering/Computational Neuroscience

Tools

TensorFlow

PyTorch

Job description

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.
• Experience working on 0->1 products.
• Experience generating and using synthetic data.
• 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
• 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

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 [e-mail]