MLOps Engineer

Harnham; Greater London; Hybrid; GBP 75,000 - 85,000; Full time

Job summary

Harnham in London is seeking a Senior MLOps Engineer to own and scale the MLOps infrastructure for AI services. The role blends software engineering with machine learning operations, delivering robust pipelines and scalable deployments.

You will work closely with Data Scientists, ML Engineers and AI teams, leveraging Dagster/Airflow/Prefect, Kubernetes and cloud platforms to drive production readiness and accelerate models from development to production.

Qualifications

• : 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.

Responsibilities

• 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.

Skills

Python

MLOps

Kubernetes

Workflow orchestration

CI/CD

IaC

AI systems

Tools

Dagster

Airflow

Prefect

Terraform

Bicep

Job description

Senior MLOps Engineer

London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits

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

• 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.
• Understanding of production ML, NLP, or AI systems.

Desired Skills and Experience

MLOps, CI/CD, Azure, Python