Full job description

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.