Lead MLOps Engineer

Gravitas Recruitment Group (Global) Ltd; Manchester; On-site; GBP 80,000 - 100,000; Full time

Job summary

Gravitas Recruitment Group (Global) Ltd is seeking a Lead MLOps Engineer in Manchester to drive the technical direction of MLOps within their AI consultancy. This senior, hands-on role involves acting as technical lead on complex projects, managing engineers, and defining best practices. Candidates should have extensive expertise in Python, cloud infrastructure, and experience with deploying ML systems. The position offers a competitive salary between £80k and £100k along with equity and benefits.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

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