Azure Devops Engineer, terraform, MLops

Reference: 2300azure_1761696196

Azure Platform Engineer - Terraform / MLOps - Hybrid

Location: Hybrid (London / Remote - UK Based)
Start Date: ASAP
Duration: 6 months initial

Overview:

We are looking for a talented Azure Platform Engineer with solid data engineering and MLOps experience to join a forward-thinking data platform team. You will play a key role in building and optimising Azure-based infrastructure to support large-scale data and machine learning workloads.

This role sits at the intersection of DataOps, DevOps, and MLOps - ideal for engineers who thrive on automation, scalability, and cloud-native design.

Key Responsibilities:

  • Design, build, and maintain Azure data and ML platform infrastructure
  • Develop and manage CI/CD pipelines using Azure DevOps and Terraform
  • Automate provisioning and configuration of Azure resources (Data Factory, Synapse, Databricks, Key Vault, etc.)
  • Implement MLOps best practices for model training, deployment, and monitoring
  • Collaborate with Data Scientists, ML Engineers, and Platform teams to deliver robust, automated solutions

Essential Skills & Experience:

Azure Expertise:

  • Strong experience across Azure Data Services (ADF, Synapse, Databricks, Azure ML)
  • Deep understanding of cloud networking, security, and governance

Infrastructure as Code (IaC):

  • Terraform - advanced use of modules, workspaces, and state management
  • Automating resource deployment and scaling in enterprise Azure environments

MLOps / DataOps:

  • Azure ML, MLflow, or Databricks MLOps frameworks
  • Building automated pipelines for model training and deployment
  • Integration of CI/CD with data and ML workloads

Please send across an updated CV if this is of interest

GCS is acting as an Employment Business in relation to this vacancy.

COMPETITIVE SALARY

Greater London

Contract

Added 29/10/2025
Reference: 2300azure_1761696196

Azure Devops Engineer, terraform, MLops

Greater London
Contract

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