Lead ML Engineer

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

This is an excellent opportunity for a hands‑on Machine Learning Engineer who is keen to take the next step into leadership. You'll continue building and deploying production‑grade ML systems while gradually taking on team management responsibilities, offering the chance to shape both technical strategy and team growth.

The Company

A high-growth technology business with a strong focus on machine learning and data-driven decision-making. They are investing heavily in their ML capabilities and are looking for a technical leader to help scale their machine learning infrastructure, engineering best practices, and team capability. You'll join a collaborative environment where engineering excellence and innovation are highly valued.

The Role

As a Lead Machine Learning Engineer, you will remain deeply involved in the technical delivery of machine learning solutions while mentoring a growing team.

Responsibilities include:

• Build and maintain production‑grade machine learning systems and pipelines.
• Remain hands‑on with coding, code reviews, debugging, and deployments.
• Mentor and support a small team of Machine Learning Engineers.
• Establish machine learning engineering and MLOps best practices.
• Improve deployment, monitoring, and model lifecycle management processes.
• Collaborate closely with Data Science, Risk, Product, and Engineering teams.
• Contribute to technical roadmap planning and future hiring initiatives.

Your Skills & Experience

• Strong background as a Machine Learning Engineer.
• Experience deploying and maintaining machine learning models in production environments.
• Strong software engineering capabilities, including Python, APIs, and distributed systems.
• Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management.
• Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes.
• Experience working within AWS, GCP, or Azure environments.
• Previous mentoring or leadership experience with an interest in developing management responsibilities.