Remote ML Engineer

Salary: £63,000 - 97,000 per year

Requirements

• We require a Masters or PhD in a numerate discipline such as Computer Science, Engineering, or Computational Neuroscience.
• We look for proven proficiency or experience in machine learning and computer vision.
• We value a proactive, highly motivated, and curious approach, with the ability to understand problems and find effective solutions.
• We need someone comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions.
• We value 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.
• We look for strong communication skills and enjoyment of working with cross-functional teams.

Responsibilities

• We research, prototype, and evaluate new approaches to strengthen biometric security against presentation attacks and emerging threats such as face swaps, synthetic media, and injection attacks.
• We improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses.
• We work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security.
• We help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems.
• We proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems.
• We stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products.
• We collaborate with engineers and researchers to share findings and bring new ideas into production.

Technologies

• AI
• Computer Vision
• Support
• Machine Learning
• Security
• LESS

More

We are iProov, a science-based biometric solutions company that helps security-conscious organizations streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC provide resilience against deepfakes and generative AI threats while delivering scalable user experiences. We work with leading governments and enterprises worldwide and foster a diverse, inclusive culture where people feel confident, supported, and able to contribute fully. The role reports to our Platform AI Lead and is based at WeWork Waterloo in a hybrid setup, with 2+ days a week in the office. We offer a competitive package including a negotiable base salary, a 10% company performance bonus, share options, and UK benefits, along with extensive wellbeing, learning, and lifestyle perks.

last updated 28 week of 2026