Machine Learning Engineering Lead

Harnham - Data & Analytics Recruitment; City Of London; On-site; GBP 113,000 - 138,000; Full time

Benefits offered by this job

Contributory pension scheme

Job summary

Harnham - Data & Analytics Recruitment is partnering with a fintech in London to hire an experienced Machine Learning Engineering Lead. The role combines hands-on ML work with people leadership to scale production ML systems and shape the team's future.

You will own delivery across the ML engineering function, drive ML infrastructure and deployment pipelines, and contribute to architecture and platform development while setting the long-term strategy for the team.

Qualifications

• Experience leading ML/engineering teams at scale.
• Experience deploying ML solutions in production.
• Proficiency with AWS and ML tooling.
• Strong balance of technical and strategic leadership.

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

Engineering leadership

Software engineering

ML engineering

MLOps

Tools

MLflow

Airflow

Metaflow

Snowflake

Job description

MACHINE LEARNING ENGINEERING LEAD
UP TO £125,000
LONDON

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.

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.

THE ROLE

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

YOUR SKILLS AND EXPERIENCE

• 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

SALARY AND BENEFITS

• Up to £125,000 base salary
• Contributory pension scheme