Lead Machine Learning Engineer

About the role

We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‑coach — someone still very hands‑on, but excited to grow into a proper management role over time. This is not a pure manager role from day one. You’ll be building, shipping, and improving ML systems while gradually taking on more team leadership responsibilities.

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

Required profile

• 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)
• Some mentoring/leadership experience + desire to grow into management

Required skills

• Python
• APIs
• MLflow
• Airflow
• Evidently
• DVC
• Docker
• Kubernetes
• AWS
• GCP
• Azure

What we offer

• 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