MLOps Manager

You must have managed before or be someone with a vast amount of experience + leadership experience that wants to manage. You also need to have developed and deployed ML Ops pipelines in larger scale companies. For example, having 100's of users of the MLOps infra. If you have not got experience in either of the above criteria, you will not be considered for the role.

Location: London - 4/5 days a week on site. Comp: Very lucrative package on offer. We’re working with a top-tier technology-led firm building a next-generation ML platform used across the business. They’re now hiring an ML Ops Manager to lead and shape a newly forming MLOps function. This is a hands‑on leadership role.

You’ll initially be close to the architecture and implementation before scaling the team (3–4 engineers to start), setting standards, and owning the long-term MLOps strategy. The MLOps journey is still relatively greenfield. A key part of the role will be evaluating what exists today, discarding what doesn’t scale, and redesigning a robust MLOps platform capable of supporting hundreds of internal users.

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• Leading and growing a small, high-impact MLOps team
  
• Designing and rebuilding production‑grade MLOps infrastructure from the ground up
  
• Owning end‑to‑end ML lifecycle tooling: training, deployment, monitoring, reproducibility
  
• Partnering closely with ML researchers, engineers, and platform teams
  
• Setting technical direction while remaining hands‑on early on
  

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• Experience building and deploying large‑scale MLOps platforms used by 100s of users
  
• Background in major startups or hyperscalers
  
• Either prior people management experienceora senior IC ready to step into management
  
• Strong engineering mindset - this is not a “process‑only” role
  
• Python‑heavy environments preferred