Biometric Authentication & AI/ML Development Intern
London Area, United Kingdom
2026-10-13
Role Description
Required Skills
Python, FastAPI, and REST API integration.
Face recognition, face embeddings, and face matching.
Face liveness detection and anti-spoofing.
Fingerprint authentication concepts, WebAuthn/passkeys, and platform authenticator integration.
Voice biometrics, speaker verification, and anti-replay detection.
OpenCV, NumPy, and PyTorch or TensorFlow.
Authentication security, testing, and debugging.
Responsibilities
Develop and integrate face, fingerprint, and voice authentication workflows.
Integrate suitable biometric SDKs and providers.
Test biometric accuracy, liveness detection, false acceptance, and false rejection.
Integrate biometric services with existing frontend and backend systems.
Debug issues, maintain security, and document implementation and test results.
Preferred Qualifications
Experience building a biometric authentication or AI/ML project.
Understanding of secure authentication, privacy, and biometric data protection.
Strong problem-solving and debugging skills.
- Ideal Candidate: Someone with practical project experience who can implement, integrate, and test biometric authentication systems.
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Biometric Authentication & AI/ML Development Intern employer: InternHunt
NatWest is an exceptional employer for graduates seeking to launch their careers in data science, offering a dynamic 12-month programme that combines real-world projects with mentorship from seasoned professionals. Located in the heart of central London, employees enjoy a vibrant work culture, flexible working arrangements, and ample opportunities for personal and professional growth, making it an ideal environment for those eager to make a meaningful impact in the financial sector.
