Lead Machine Learning Engineer

Department: Platform

Employment Type: Permanent

Location: London, Greater London, London, Hybrid

Key Responsibilities

• Build and maintain production-grade ML systems and pipelines
•  Stay hands-on (coding, reviews, debugging, deployments)
• Mentor a small team of ML engineers (2–3 people initially)
• Establish ML engineering & MLOps best practices 
• Improve deployment, monitoring, and model lifecycle management 
• Collaborate with DS, Risk, Product, and Engineering
• Help shape roadmap and hiring

Skills, Knowledge & Expertise

•  Strong background as an ML Engineer (not purely DS/research)
• Experience deploying and running ML models in production
• Solid software engineering skills (Python, APIs, systems)
• Good understanding of MLOps stack (CI/CD, monitoring, pipelines)
• Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes.
• Cloud experience (AWS/GCP/Azure)
• Some mentoring/leadership experience + desire to grow into management 
• Nice to have: 
  • Experience scaling ML platforms or teams
  • Fintech / lending / risk domain exposure

Job Benefits

• Private Medical insurance via Vitality and Dental Insurance with BUPA
• EAP with Health Assured 
• Enhanced Maternity and Paternity Leave 
• Modern and sophisticated office space in Central London 
• Free Gym in office building in Holborn 
• Subsidised Lunch via Feedr 
• Deliveroo Allowance if working late in office 
• Monthly in office Masseuse 
• Team and Company Socials 
• Football Power League / Paddle and Yoga Club