Lead ML Engineer

Harnham - Data and Analytics Recruitment
Manchester, United Kingdom
Last week
£90,000 – £95,000 pa

Salary

£90,000 – £95,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Lead
Education
Degree
Posted
18 May 2026 (Last week)

Benefits

Comprehensive benefits package

Lead Machine Learning Engineer

Primarily Remote UK based
up to £95,000

Lead Machine Learning Engineer

This is a standout opportunity to lead and shape a growing Machine Learning Engineering function, taking ownership of production-grade ML solutions that transform how data is used and commercialised across the business.

THE COMPANY

This organisation is a leading professional services firm with a strong focus on innovation, data, and technology-led transformation. They are investing heavily in modern cloud, data, and AI platforms to unlock new products, improve efficiency, and deliver real business value.

THE ROLE

You will lead the ML Engineering capability, owning the end-to-end delivery of machine learning solutions and helping to build out the wider ML function. You'll operate as a hands-on technical leader, setting best practice across ML pipelines, MLOps, and data products while working closely with Data Scientists, Engineers, and senior stakeholders.

Key responsibilities include:

  • Leading and championing ML Engineering as a core capability across the organisation
  • Designing, building, and productionising end-to-end ML pipelines aligned to business strategy
  • Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance)
  • Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing
  • Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management
  • Supporting data integration, ETL, and cloud migration initiatives on Azure
  • Acting as a technical thought leader, setting standards and sharing best practice across teams
YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

  • Machine Learning Engineering with a strong software engineering foundation
  • Python, SQL, and modern ML engineering practices
  • Azure-based ML and data platforms (including Databricks)
  • NLP and LLMs, including fine-tuning and production deployment
  • Designing and operating MLOps pipelines in production environments
  • Stakeholder management and working in agile, high-performing teams
THE BENEFITS

You will receive a salry up to £95,000 depending on experience, alongside a comprehensive benefits package and the opportunity to lead a strategically important ML capability with real influence across the business.

HOW TO APPLY

Please register your interest by sending your CV toMolly Bird via the apply link on this page.

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Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.