MLOps Engineer

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

Benefits offered by this job

Bonus up to 10%

Private healthcare

Hybrid work London

Job summary

Harnham in London is seeking a hands-on MLOps Engineer to build and scale the infrastructure behind production AI and ML systems. You will own scalable MLOps infrastructure and work closely with data scientists and ML engineers.

Responsibilities include developing pipelines, managing Kubernetes-based production environments, and implementing IaC with Terraform or Bicep across Azure cloud platforms. The role offers hybrid working in London with a competitive bonus and benefits.

Qualifications

• Hands-on experience delivering MLOps platforms.
• Strong Python software engineering skills.
• Experience with orchestration tools such as Dagster, Airflow or Prefect.
• Experience with monitoring, observability and deployment tooling.
• Knowledge of production ML, predictive analytics or NLP systems.
• Proficiency with Azure cloud technologies.
• Experience with LLM infrastructure.

Responsibilities

• Developing and maintaining scalable MLOps infrastructure
• Owning orchestration platforms such as Dagster, Airflow or Prefect
• Working directly with Python applications and services
• Managing Kubernetes-based production environments
• Improving monitoring, observability and platform reliability
• Implementing infrastructure as code using Terraform or Bicep
• Enhancing CI/CD processes and deployment automation
• Partnering with data scientists and ML engineers to support production workloads

Skills

MLOps

Python

Dagster

Airflow

Prefect

Kubernetes

Terraform

Bicep

Azure

LLM infra

Tools

Dagster

Airflow

Prefect

Terraform

Bicep

Azure

Job description

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

Are you a hands-on MLOps Engineer who enjoys building scalable platforms rather than simply maintaining them? This is a chance to take ownership of the infrastructure behind a growing AI and machine learning environment, helping shape the future of production ML systems while working closely with data scientists and machine learning engineers.

The Company

They are a specialist AI and data consultancy that develops machine learning, predictive analytics and NLP solutions for a diverse client base. As their platform and client demand continue to grow, they are investing heavily in the infrastructure, tooling and processes that support production AI services. You'll join a collaborative technical team where you'll have genuine influence over architectural decisions and platform direction.

The Role

You will play a key role in building and scaling the infrastructure that underpins production AI and machine learning solutions.

Responsibilities include:

• Developing and maintaining scalable MLOps infrastructure
• Owning orchestration platforms such as Dagster, Airflow or Prefect
• Working directly with Python applications and services
• Managing Kubernetes-based production environments
• Improving monitoring, observability and platform reliability
• Implementing infrastructure as code using Terraform or Bicep
• Enhancing CI/CD processes and deployment automation
• Partnering with data scientists and ML engineers to support production workloads

Your Skills & Experience

• Strong commercial experience working in MLOps environments
• Excellent Python software engineering skills
• Hands-on experience with Dagster, Airflow, Prefect or similar orchestration tools
• Experience with monitoring, observability and deployment tooling
• Infrastructure as code expertise, ideally Terraform or Bicep
• Understanding of production machine learning, predictive analytics or NLP systems
• Azure cloud technologies
• LLM infrastructure

What They Offer

• Up to 10% bonus
• Hybrid working with 1 to 2 days per week in the London office
• Private healthcare and additional benefits
• Six-monthly reviews and progression opportunities
• High levels of ownership and technical autonomy
• The opportunity to help build the next generation of AI infrastructure