Lead ML Engineer: Hands-On Production ML and MLOps

Harnham; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Harnham is seeking a hands-on Lead Machine Learning Engineer to build and deploy production-grade ML systems while gradually taking on team management responsibilities.

You will mentor engineers, shape technical strategy, and collaborate with Data Science, Risk, Product, and Engineering teams to drive the ML roadmap. This is a leadership-focused, hands-on role in a fast-growing tech environment in London.

Qualifications

• Experience building production ML systems.
• Leadership potential and mentoring experience.
• Strong software engineering skills in Python and APIs.
• Experience with CI/CD and MLOps tooling.
• Experience with cloud environments (AWS, GCP, or Azure).

Responsibilities

• Build and maintain production-grade machine learning systems and pipelines.
• Mentor a growing team of Machine Learning Engineers.
• Lead deployment, monitoring, and lifecycle management.
• Collaborate with Data Science, Risk, Product, and Engineering teams.
• Contribute to technical roadmap planning and future hiring.”],
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Skills

Machine Learning Engineering

Leadership / Mentoring

Python

APIs

Distributed Systems

MLOps

CI/CD

Model Deployment

Tools

Docker

Kubernetes

MLflow

Airflow

Evidently

DVC

Git

Job description

Harnham is seeking a hands-on Lead Machine Learning Engineer to build and deploy production-grade ML systems while gradually taking on team management responsibilities.

You will mentor engineers, shape technical strategy, and collaborate with Data Science, Risk, Product, and Engineering teams to drive the ML roadmap. This is a leadership-focused, hands-on role in a fast-growing tech environment in London.