MLOps Engineer

Harnham; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

Harnham, a growing AI and data consultancy in London, is seeking an Senior MLOps Engineer to own and advance the MLOps infrastructure powering its AI platforms. You will build scalable pipelines across ML, NLP, and related AI technologies, ensuring reliable deployment and governance of production workloads.

You will deploy on Kubernetes, cloud platforms, and implement robust CI/CD, observability, and monitoring.

Qualifications

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

Responsibilities

• Own and develop the MLOps infrastructure powering 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.
• Collaborate with Data Scientists, ML Engineers, and AI teams to scale deployments.

Skills

Python

MLOps

Kubernetes

Workflow orchestration

Infrastructure as Code

CI/CD

Production ML/NLP/AI

Tools

Dagster

Airflow

Prefect

Terraform

Bicep

Job description

Senior MLOps Engineer

London (Hybrid) | £75,000 - £95,000 + 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

• 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