ML Engineering Lead — Scale Production AI Systems

Clearly Jobs Ltd.; Greater London; Hybrid; GBP 113,000 - 138,000; Full time

Benefits offered by this job

Contributory pension scheme

Job summary

Clearly Jobs Ltd. is recruiting for a Machine Learning Engineering Lead in London. The role blends hands-on technical work with people leadership to scale production ML systems and shape the team's direction.

You'll manage ML and MLOps engineers, own delivery and operational performance, evolve the ML infrastructure and deployment pipelines, and contribute to architecture and platform development while guiding long-term strategy.

Qualifications

• 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.

Responsibilities

• 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.

Skills

People management

Strategic thinking

Hands-on engineering

Tools

AWS

MLflow

Airflow

Metaflow

Snowflake

Job description

Clearly Jobs Ltd. is recruiting for a Machine Learning Engineering Lead in London. The role blends hands-on technical work with people leadership to scale production ML systems and shape the team's direction.

You'll manage ML and MLOps engineers, own delivery and operational performance, evolve the ML infrastructure and deployment pipelines, and contribute to architecture and platform development while guiding long-term strategy.