Lead ML Engineer

Harnham - Data and Analytics Recruitment
London, United Kingdom
Today
£110,000 – £120,000 pa

Salary

£110,000 – £120,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
22 Oct 2026 (Today)

Lead Machine Learning Engineer

London (Hybrid) | £110,000 - £120,000

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.

How to Apply

If you're interested in combining hands-on machine learning engineering with a clear pathway into leadership, please apply with your CV for immediate consideration.

Related Jobs

View all jobs

Lead Machine Learning Engineer

Faculty London, United Kingdom
Hybrid Clearance Required

Machine Learning Team Lead

Speechmatics Cambridge, United Kingdom

Machine Learning Team Lead

Speechmatics London, United Kingdom

Senior AI Engineer

Parkside London, United Kingdom
£100,000 – £150,000 pa

Machine Learning Engineer - AI

Forward Role London, United Kingdom
£60,000 – £90,000 pa Hybrid Clearance Required

Senior AI Engineer

Appcast Enterprise Cork, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.