About this 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
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
Job Benefits
We offer a comprehensive benefits package that includes:
- 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