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Azure Platform Engineer - Data / 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 infrastructureDevelop and manage CI/CD pipelines using Azure DevOps and TerraformAutomate provisioning and configuration of Azure resources (Data Factory, Synapse, Databricks, Key Vault, etc.)Implement MLOps best practices for model training, deployment, and monitoringCollaborate 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 managementAutomating resource deployment and scaling in enterprise Azure environments

MLOps / DataOps:

Azure ML, MLflow, or Databricks MLOps frameworksBuilding automated pipelines for model training and deploymentIntegration 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.

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