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
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