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Senior MLOps Engineer in London

Hybrid in London·Added 1 month ago (last checked 1 Nov)

Agency
Harnham

201 open roles

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Our summary

Salary
£75,000 - £85,000 a year

About £4,500 - £4,990 a month after tax.

Work mode
Hybrid, London
Contract
Permanent
Experience
Senior level

Skills

Nice to have

Harnham is hiring for this role in several places. This vacancy is in London.

Requirements

What we're looking for

  • Strong Python software engineering skills.
  • Commercial MLOps experience in production environments.
  • Hands-on Kubernetes expertise.
  • Experience with workflow orchestration platforms.
  • Infrastructure as Code and CI/CD experience.
  • Understanding of production ML, NLP, or AI systems.

The role

Senior MLOps Engineer
London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role

What you'll do

  • Own and develop the MLOps infrastructure supporting AI services.
  • Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
  • Deploy and manage ML workloads on Kubernetes and cloud platforms.
  • Implement CI/CD, observability, and monitoring across production systems.
  • Develop infrastructure using Terraform, Bicep, or similar IaC tools.
  • Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.

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