Salary: £63,000 - 97,000 per year
Requirements
- Masters or PhD in a numerate discipline such as Computer Science, Engineering, or Computational Neuroscience.
- Proven proficiency or experience in machine learning and computer vision.
- Proactive, highly motivated, and curious approach, with the ability to understand problems and find effective solutions.
- Comfortable turning ideas into experiments and prototypes, using evidence to drive decisions.
- Interest in modern AI technologies, including generative AI and agentic systems, and willingness to explore their application to real‑world problems.
- Strong communication skills and enjoyment of working with cross‑functional teams.
Responsibilities
- 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.
- 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.
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.
Remote ML Engineer in Eastbourne 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.
