Azure Devops Engineer, terraform, MLops
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.
Azure Devops Engineer, terraform, MLops
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