ML EngineerleadLondon Area, United KingdomonsitefulltimeFinancial ServicesPythonMLflowAirflowEvidentlyDVCDockerKubernetesAWSposted 08 Jul
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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