Machine Learning Engineering Lead

Harnham - Data and Analytics Recruitment; Greater London; On-site; GBP 75,000 - 125,000; Full time

Benefits offered by this job

Contributory pension scheme

Job summary

Harnham - Data and Analytics Recruitment is seeking a MACHINE LEARNING ENGINEERING LEAD in London to lead and scale a fintech ML engineering function. The role blends hands-on coding with people leadership and strategic input, shaping how models are produced and deployed in production.

You will manage ML and MLOps teams, drive infrastructure evolution, and contribute to architecture while collaborating with cross-functional partners to deliver high-impact ML solutions at scale.

Qualifications

• Experience leading ML/AI engineering teams.
• Proven background in building and deploying ML at scale.
• Strong hands-on engineering with production ML systems.

Responsibilities

• Lead and develop a team of ML and MLOps engineers.
• Own delivery and performance of the ML engineering function.
• Evolve ML infrastructure, deployment pipelines, and tooling.
• Contribute hands-on to architecture and production ML initiatives.

Skills

People management

ML engineering

AWS experience

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