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MLOps Engineer

Job in London, Greater London, W1B, England, UK
Listing for: Harnham - Data & Analytics Recruitment Careers
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 75000 - 85000 GBP Yearly GBP 75000.00 85000.00 YEAR
Job Description & How to Apply Below

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 CompanyA 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

  • 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.

Your Skills & Experience

  • 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.
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