Lead ML Engineer

Harnham - Data and Analytics Recruitment
Manchester, United Kingdom
Last month
£80,000 – £90,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid

Lead ML Engineer

Harnham - Data and Analytics Recruitment Manchester, United Kingdom
£80,000 – £90,000 pa Remote

Lead ML Engineer

Harnham - Data and Analytics Recruitment Leeds, United Kingdom
£80,000 – £90,000 pa Remote

Lead ML Engineer

Harnham - Data and Analytics Recruitment Edinburgh, Alba / Scotland, United Kingdom
£80,000 – £90,000 pa Remote

Lead ML Engineer

Harnham - Data and Analytics Recruitment Birmingham, United Kingdom
£80,000 – £90,000 pa Remote

Lead Machine Learning Engineer

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom
£81,322 – £112,488 pa Hybrid

Lead Machine Learning Engineer

Faculty London, United Kingdom
Hybrid Clearance Required

Salary

£80,000 – £90,000 pa

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Seniority
Lead
Education
Degree
Contract Duration
12 months
Posted
19 May 2026 (Last month)

Lead ML Engineer (12-month FTC)

£80,000 - £90,000

Remote (UK Based Only)

This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.

THE COMPANY

They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.

THE ROLE

As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.

Specifically, you can expect to be involved in the following:

  • Leading the ML Engineering capability and contributing to the wider data and AI strategy.
  • Designing, building, and productionising ML pipelines aligned to business goals.
  • Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
  • Implementing strong MLOps practices across model training, deployment, and monitoring.
  • Working closely with Data Scientists to support, maintain, and improve models in production.
  • Building APIs and data products that enable ML solutions to be consumed across the business.

SKILLS AND EXPERIENCE

The successful Lead ML Engineer will have the following skills and experience:

  • Commercial experience delivering ML solutions end-to-end.
  • Strong Python and SQL skills, with experience building data and ML pipelines.
  • Hands-on experience with Databricks and Azure.
  • Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
  • Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
  • Exeperience with stakeholders and translating business problems into technical solutions.
  • Experience building or integrating APIs, such as with FastAPI, is beneficial.

BENEFITS

The successful Lead ML Engineer will receive the following benefits:

  • Salary between £80,000 - £90,000 - depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Industry Insights

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

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.