Posted: 10 June
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 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: 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
