Azure Platform Engineer - Azure ML Studio, Terraform - Contract

Azure Platform Engineer - Azure ML Studio, Terraform - Contract

Posted 1 week ago by GCS

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Negotiable
Undetermined
Hybrid
London, UK
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Artificial Intelligence Automation Azure Databricks Azure Data Factory Azure DevOps Azure Machine Learning Bash (Scripting Language) Cloud Computing Cloud Infrastructure Cloud Technology Continuous Integration and Continuous Delivery Databricks Data Engineering DevOps Github Infrastructure as Code (IaC) Infrastructure Automation Machine Learning Microsoft Azure Scalability Scripting Terraform Windows PowerShell

Summary: We are looking for an experienced Azure Platform Engineer with expertise in Azure Machine Learning Studio, Terraform, and Data Engineering. The role involves designing, building, and maintaining cloud-based data and ML platforms to facilitate large-scale analytics and AI projects. The position is primarily remote with a hybrid working arrangement. This is a contract role based in London, UK.

Key Responsibilities:

  • Design, implement, and manage Azure cloud infrastructure to support ML and data workloads.
  • Develop and maintain Terraform scripts for infrastructure automation and environment provisioning.
  • Collaborate with data scientists and engineers to deploy and operationalize ML models using Azure ML Studio.
  • Build and optimize data pipelines leveraging Azure Data Factory, Data Lake, Synapse, and related tools.
  • Ensure scalability, security, and reliability across data and ML environments.
  • Support CI/CD integration, monitoring, and continuous improvement of Azure resources.

Key Skills:

  • Proven experience as an Azure Platform Engineer/Cloud Engineer/DevOps Engineer.
  • Strong hands-on experience with Azure ML Studio and ML model deployment.
  • Solid understanding of Terraform and Infrastructure as Code (IaC).
  • Experience with Azure Data Services - Data Factory, Synapse, Data Lake, Databricks.
  • Good Scripting knowledge (Python, PowerShell, or Bash).
  • Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Strong communication and problem-solving skills.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Azure Platform Engineer - Azure ML Studio/Terraform/Data Engineering

Hybrid- majority remote

Contract

Overview:

We are seeking an experienced Azure Platform Engineer with a strong background in Azure Machine Learning (ML) Studio, Infrastructure as Code (Terraform), and Data Engineering. You will play a key role in designing, building, and maintaining cloud-based data and ML platforms to support large-scale analytics and AI initiatives.

Key Responsibilities:


  • Design, implement, and manage Azure cloud infrastructure to support ML and data workloads.
  • Develop and maintain Terraform scripts for infrastructure automation and environment provisioning.
  • Collaborate with data scientists and engineers to deploy and operationalize ML models using Azure ML Studio.
  • Build and optimize data pipelines leveraging Azure Data Factory, Data Lake, Synapse, and related tools.
  • Ensure scalability, security, and reliability across data and ML environments.
  • Support CI/CD integration, monitoring, and continuous improvement of Azure resources.

Essential Skills & Experience:


  • Proven experience as an Azure Platform Engineer/Cloud Engineer/DevOps Engineer.
  • Strong hands-on experience with Azure ML Studio and ML model deployment.
  • Solid understanding of Terraform and Infrastructure as Code (IaC)
  • Experience with Azure Data Services - Data Factory, Synapse, Data Lake, Databricks.
  • Good Scripting knowledge (Python, PowerShell, or Bash).
  • Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Strong communication and problem-solving skills.

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

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