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Lead ML Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 95000 GBP Yearly GBP 95000.00 YEAR
Job Description & How to Apply Below

Lead Machine Learning Engineer

Primarily Remote, UK based. Salary up to £95,000.

Overview

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.

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.

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
  • Leading and championing ML Engineering as a core capability across the organisation.
  • Designing, building, and product ionising 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.
Skills and Experience
  • 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.
Benefits

You will receive a salary 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.

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