At a Glance
- Tasks: Develop innovative biometric security solutions using machine learning and computer vision.
- Company: Join iProov, a leader in biometric identity assurance with a diverse and inclusive culture.
- Benefits: Enjoy 25 days annual leave, flexible working, and access to health and wellness perks.
- Other info: Collaborative environment with excellent career growth and personal development opportunities.
- Why this job: Make a real impact in securing digital identities against emerging threats.
- Qualifications: Masters or PhD in a numerate discipline; experience in machine learning and computer vision.
The predicted salary is between 60000 - 80000 £ 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.
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.
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 ML 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.
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
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.
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.
Machine Learning Engineer (PAD) in Slough employer: iProov
iProov is an exceptional employer that champions diversity and inclusion, fostering a culture where every individual feels valued and empowered to contribute their unique talents. Located in the vibrant WeWork Waterloo, employees enjoy a flexible hybrid working environment, comprehensive benefits including generous annual leave, personal development opportunities, and access to wellness programmes, all while working on cutting-edge biometric technology that makes a real-world impact. With a commitment to employee growth and a supportive atmosphere, iProov stands out as a place where you can thrive both personally and professionally.
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We think this is how you could land Machine Learning Engineer (PAD) in Slough
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We think you need these skills to ace Machine Learning Engineer (PAD) in Slough
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