Remote ML Engineer (CoreAI)

• We will drive research projects in the areas of computer vision, machine learning, and biometrics.
• We will research new biometric systems and contribute to prototyping new products by testing and integrating existing technologies or by designing new solutions.
• We will develop and train deep learning models for face verification, liveness, and attack detection.
• We will improve data and evaluation strategies, including synthetic and adversarial data.
• We will investigate failure modes and improve generalisation, robustness, and fairness.
• We will collaborate cross-functionally to turn models into production-quality services.

Technologies:

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

• We would like to see a Masters or PhD in a numerate discipline such as Computer Science, Engineering, or Computational Neuroscience.
• We would like to see proven proficiency or experience in machine learning and computer vision.
• We would like to see proficiency in Python and modern deep learning frameworks.
• We would like to see strong problem-solving skills and out-of-the-box thinking.
• We would like to see experience working on 0->1 products.
• We would like to see experience generating and using synthetic data.

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 are designed to resist deepfakes and generative AI threats while delivering scalable user experiences. We are a diverse and inclusive global team that values equality, psychological safety, curiosity, and innovation. This role is for a Machine Learning Engineer on our Core AI team, reporting to the Head of Core AI, based in WeWork Waterloo on a hybrid working basis. We offer a negotiable base salary, a company performance bonus, share options, and a comprehensive UK benefits package that includes generous leave, growth shares, pension and salary sacrifice schemes, health and wellbeing support, learning and development budgets, enhanced family leave, and flexible hybrid working.