MLOps Engineer

Clearly Jobs Ltd.; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Bonus

Benefits

Job summary

Clearly Jobs Ltd. in London is seeking a Senior MLOps Engineer to own and evolve the infrastructure powering an ambitious AI platform. The role blends software engineering, ML tooling, and scalable deployment practices across data science teams.

You will build robust pipelines with Dagster, Airflow or Prefect, deploy ML workloads on Kubernetes and cloud, and implement IaC-driven CI/CD, observability and monitoring to ensure reliable production systems.

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 powering AI services.
• Build and maintain orchestration pipelines with 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 platforms

IaC & CI/CD

ML/NLP/AI systems

Tools

Dagster

Airflow

Prefect

Terraform

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.