Lead ML Engineer

Harnham - Data and Analytics Recruitment; Greater London; Hybride; GBP 110 000 - 120 000; Plein temps

Résumé du poste

Harnham - Data and Analytics Recruitment is seeking a Lead Machine Learning Engineer in London with hybrid work options. The role combines hands-on ML development with leadership responsibilities to guide a small team and shape technical strategy.

You will deploy production-grade ML systems, mentor engineers, and drive MLOps practices while collaborating with data science and product teams. Strong Python, cloud, and CI/CD experience required.

Qualifications

• Hands-on ML engineer with production deployment experience.
• Strong software engineering capabilities with Python and APIs.
• Familiarity with ML tooling and MLOps practices.

Responsabilités

• Build and maintain production-grade ML systems and pipelines.
• Hands-on coding, reviews, debugging, and deployments.
• Mentor a growing team of ML engineers.
• Establish ML engineering and MLOps best practices.
• Improve deployment, monitoring, and model lifecycle processes.
• Collaborate with Data Science, Risk, Product, and Engineering teams.
• Contribute to technical roadmap planning and hiring plans.

Connaissances

ML Engineer

Software Engineering

MLOps

Python

APIs

Distributed Systems

Outils

MLflow

Airflow

Evidently

DVC

Docker

Kubernetes

Description du poste

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.