Lead MLOps Engineer

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Manchester | £80k–£100k + Equity + Benefits

We’re hiring a Lead MLOps Engineer to drive the technical direction of MLOps across our growing AI consultancy (Manchester City Centre, 3 days on-site). This is a senior, hands‑on role combining architecture, delivery leadership and management.

What you’ll be doing

  • Acting as technical lead on complex client engagements
  • Designing and overseeing end‑to‑end ML platforms and MLOps architectures
  • Managing Mid and Senior engineers
  • Defining technical standards and MLOps best practices
  • Working with clients to translate business goals into scalable ML solutions
  • Supporting project scoping, pre‑sales, and technical strategy

What we’re looking for

  • Deep expertise in Python and modern ML frameworks
  • Strong cloud and infrastructure background (AWS, Azure, or GCP)
  • Extensive experience with Docker, Kubernetes, CI/CD, and IaC
  • Proven ability to build, deploy, monitor, and operate ML systems at scale
  • Comfortable leading a team while staying hands‑on
  • Eligible for SC clearance

Nice to have

  • Experience building internal MLOps platforms or tooling
  • Strong views on observability, reliability, and ML monitoring
  • Experience with LLMs, agents, or emerging AI technologies

#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Gravitas Recruitment Group (Global) Ltd”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__434442260__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=19285” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Manchester” } } }
Company: Gravitas Recruitment Group (Global) Ltd
Apply for the Lead MLOps Engineer
Location: Manchester
Job Description:

Manchester | £80k–£100k + Equity + Benefits

We’re hiring a Lead MLOps Engineer to drive the technical direction of MLOps across our growing AI consultancy (Manchester City Centre, 3 days on-site). This is a senior, hands‑on role combining architecture, delivery leadership and management.

What you’ll be doing

  • Acting as technical lead on complex client engagements
  • Designing and overseeing end‑to‑end ML platforms and MLOps architectures
  • Managing Mid and Senior engineers
  • Defining technical standards and MLOps best practices
  • Working with clients to translate business goals into scalable ML solutions
  • Supporting project scoping, pre‑sales, and technical strategy

What we’re looking for

  • Deep expertise in Python and modern ML frameworks
  • Strong cloud and infrastructure background (AWS, Azure, or GCP)
  • Extensive experience with Docker, Kubernetes, CI/CD, and IaC
  • Proven ability to build, deploy, monitor, and operate ML systems at scale
  • Comfortable leading a team while staying hands‑on
  • Eligible for SC clearance

Nice to have

  • Experience building internal MLOps platforms or tooling
  • Strong views on observability, reliability, and ML monitoring
  • Experience with LLMs, agents, or emerging AI technologies

#J-18808-Ljbffr…

Posted: May 17th, 2026