Senior MLOps Engineer: Build Scalable AI Infra

Harnham - Data and Analytics Recruitment; Greater London; Hybrid; GBP 75,000 - 85,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Harnham - Data and Analytics Recruitment is seeking a Senior MLOps Engineer in London. You will join the platform engineering team to shape scalable MLOps infrastructure supporting AI services for diverse clients.

Key responsibilities include deploying ML models with Azure ML and AKS, building robust CI/CD pipelines, and driving observability and governance to ensure reliable, responsible AI delivery.

Qualifications

• High-level experience in MLOps and platform engineering across production environments.
• Advanced Python development skills in production systems.
• Expertise with Azure-native MLOps tools including endpoints, pipelines, registries, environments and compute.
• Experience deploying containerised workloads on Kubernetes.
• Strong knowledge of CI/CD practices using Azure DevOps or similar tooling.
• Experience with Terraform, Bicep or Pulumi for IaC.
• Knowledge of monitoring/observability tooling (Prometheus, Grafana).
• Experience with orchestration platforms like Dagster, Airflow, Prefect or similar.

Responsibilities

• Own and evolve scalable MLOps infrastructure underpinning AI services.
• Deploy and manage ML models using Azure ML and AKS.
• Build production-grade pipelines for training, inference, monitoring, and retraining.
• Develop CI/CD pipelines to automate testing, deployment, and operations.
• Implement observability, monitoring, and alerting for reliability.
• Drive responsible AI, governance, transparency and auditability.
• Collaborate with engineering, delivery and consulting teams to scale AI solutions.

Skills

MLOps

Python

Azure ML/AKS

Kubernetes

CI/CD (Azure DevOps)

Infra as Code (Terraform/Bicep/Pulumi)

Monitoring (Prometheus/Grafana)

Workflow orchestration (Dagster/Airlfy

Tools

Dagster

Airflow

Prefect

Job description

Harnham - Data and Analytics Recruitment is seeking a Senior MLOps Engineer in London. You will join the platform engineering team to shape scalable MLOps infrastructure supporting AI services for diverse clients.

Key responsibilities include deploying ML models with Azure ML and AKS, building robust CI/CD pipelines, and driving observability and governance to ensure reliable, responsible AI delivery.