Machine Learning Engineering Lead
About the company
Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities.
Your tasks
MACHINE LEARNING ENGINEERING LEADUP TO £125,000LONDON This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You'll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team.
Responsibilities include but are not limited to
- Lead and develop a team of ML and MLOps engineers
- Own delivery, operational performance, and technical execution across the ML Engineering function
- Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities
- Contribute hands-on to architecture, platform development, and production ML initiatives
- Help shape the long-term strategy, growth, and maturity of the ML Engineering function
Requirements
- Previous people management or engineering leadership experience
- Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments
- Experience building, deploying, and supporting machine learning solutions at scale
- Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake
- Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution
What we offer
- Up to £125,000 base salary
- Contributory pension scheme
How to apply
Please register your interest to Mia Randhawa by sending your CV through the 'Apply' link