Lead ML Engineer

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.

#J-18808-Ljbffr