Machine Learning Graduate

🧠 Graduate Machine Learning Engineer (Biometrics & Identity)

Location: London / Remote (EU/UK)

Type: Graduate Placement / Entry-Level (0–2 years experience)

🚀 About The company

They are a secure communications platform that combines end-to-end encryption with continuous biometric authentication. Unlike traditional messaging apps, They ensure that only the intended recipient can view messages through real-time facial recognition, liveness detection, and identity verification.

Requirement: you have Tensorflow experience and possibly hugging face. You have experience with biometrics and OpenCV

🧩 Role Overview

We are looking for a highly motivated graduate Machine Learning Engineer with an interest in biometrics and digital identity.

You will work alongside experienced engineers and researchers to help build and improve AI-powered identity verification systems, including facial recognition and anti-spoofing technologies.

This is an ideal role for someone who wants to apply cutting-edge ML in a real-world security product.

🔬 Key Responsibilities

🧠 Machine Learning & Biometrics

• Assist in developing and testing facial recognition models
• Support work on liveness detection (anti-spoofing) systems
• Help evaluate model performance (accuracy, false positives, robustness)
• Work with image/video datasets for training and validation

⚙️ Engineering & Deployment

• Contribute to integrating ML models into mobile and backend systems
• Help optimize models for real-time performance
• Write clean, production-ready code with guidance from senior engineers

🔐 Security & Privacy

• Learn and apply privacy-first ML practices
• Support development of secure identity verification workflows
• Understand basics of biometric data protection and compliance

📊 Research & Learning

• Stay up to date with developments in:
• Computer vision
• Biometrics
• Deepfake detection
• Prototype new ideas and assist in experimentation

🧪 Requirements

🎓 Education

• Bachelor’s or Master’s degree in:
• Computer Science
• Artificial Intelligence
• Machine Learning
• Or a related field

💻 Technical Skills

• Strong Python skills
• Familiarity with at least one ML framework:
• PyTorch or TensorFlow
• Basic understanding of:
• Computer vision
• Neural networks
• Image processing

🧠 Biometrics / CV Exposure (Academic or Projects)

• Experience with:
• Facial recognition OR
• Image classification OR
• Object detection
• Understanding of concepts like:
• Feature embeddings
• Model evaluation metrics

⭐ Nice-to-Have

• Exposure to:
• OpenCV
• Face recognition libraries
• Projects involving:
• Biometrics
• Security or authentication
• Knowledge of:
• Liveness detection / spoofing attacks
• Experience deploying ML models (even small projects)

💡 What You’ll Gain

• Hands-on experience building real-world biometric systems
• Exposure to secure AI systems in production environments
• Mentorship from experienced ML and security engineers
• Opportunity to work on high-impact identity technology

🎯 Ideal Candidate

• Curious and eager to learn
• Strong fundamentals in ML
• Interested in AI + security + privacy
• Comfortable working in a fast-paced startup environment