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

What you’ll do:

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

Benefits

We offer a comprehensive benefits package that includes:

Stock Options
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

Lead Machine Learning Engineer

About this role

Key Responsibilities

Skills, Knowledge & Expertise

Benefits

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