Senior MLOps Engineer - AI Platform & Kubernetes (Hybrid London)

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

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.