Senior ML Ops Engineer

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

Benefits offered by this job

Private healthcare

Job summary

Harnham in London is seeking a Senior MLOps Engineer to own the infrastructure, deployment and orchestration for production ML services. This hands-on role offers significant influence over platform direction and engineering standards.

You will build and maintain orchestration pipelines with Dagster, Airflow or Prefect, deploy workloads in Kubernetes, and drive CI/CD and IaC best practices. Collaboration with software engineers, ML engineers and data scientists is essential.

Qualifications

• Strong Python software engineering experience.
• Hands-on MLOps or platform engineering background.
• Experience with ML workflow orchestration tools.
• Production Kubernetes expertise.
• Infrastructure-as-code experience, ideally Terraform or Bicep.
• Knowledge of monitoring, logging and deployment best practices.
• Exposure to Azure and production ML environments is beneficial.

Responsibilities

• Own and develop the infrastructure supporting AI and ML services.
• Build and maintain orchestration pipelines using tools such as Dagster, Airflow or Prefect.
• Deploy, manage and optimise workloads in Kubernetes environments.
• Improve monitoring, observability and platform reliability.
• Implement infrastructure-as-code and CI/CD best practices.
• Partner with software engineers, ML engineers and data scientists to deliver scalable solutions.

Skills

Python

MLOps

Orchestration tools

Kubernetes

Infrastructure as Code

Monitoring & logging

Azure exposure

Tools

Dagster

Airflow

Prefect

Job description

Senior MLOps Engineer

London (Hybrid) | £75,000 - £85,000 + 10% Bonus

Join a growing AI-focused organisation as a Senior MLOps Engineer, taking ownership of the infrastructure, deployment and orchestration capabilities that support production machine learning services. This is a hands‑on role with significant influence over platform direction and engineering standards.

The Company

A data and AI organisation delivering machine learning and analytics solutions at scale. With continued growth and investment in AI capabilities, they are building a modern platform to support an expanding portfolio of products and clients.

The Role

• Own and develop the infrastructure supporting AI and ML services.
• Build and maintain orchestration pipelines using tools such as Dagster, Airflow or Prefect.
• Deploy, manage and optimise workloads in Kubernetes environments.
• Improve monitoring, observability and platform reliability.
• Implement infrastructure-as-code and CI/CD best practices.
• Partner with software engineers, ML engineers and data scientists to deliver scalable solutions.

Your Skills & Experience

• Strong Python software engineering experience.
• Hands‑on MLOps or platform engineering background.
• Experience with ML workflow orchestration tools.
• Production Kubernetes expertise.
• Infrastructure-as-code experience, ideally Terraform or Bicep.
• Knowledge of monitoring, logging and deployment best practices.
• Exposure to Azure and production ML environments is beneficial.

What They Offer

• £75,000 - £85,000 base salary.
• Up to 10% bonus.
• Hybrid working, 1-2 days in the London office.
• Private healthcare and additional benefits.
• Strong opportunity for ownership and career growth.