4 of 4 ARM Templates Jobs in Scotland

Jenkins. Automate model training, testing, validation, and deployment using MLflow and Databricks Jobs. Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning … Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ELT pipelines, DLT, Delta Lake Infrastructure as Code (IaC): Terraform, ARM templates, Ansible Version Control & DevOps: Git, Azure DevOps, Jenkins Experience 3+ years of experience in ML/MLOps engineering or a similar role. ...

Technical Depth – at least 3 intermediate‐level cloud certifications and expertise in cloud‐native AI data architectures.Infrastructure & Automation – proficiency in Infrastructure‐as‐Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases.Modern Data Patterns – solid … Technical Depth – at least 3 intermediate‐level cloud certifications and expertise in cloud‐native AI data architectures.Infrastructure & Automation – proficiency in Infrastructure‐as‐Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases.Modern Data Patterns – solid ...

ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform … scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience ...

Technical Depth – At least 3 intermediate‐level cloud certifications and expertise in cloud‐native AI data architectures.Infrastructure & Automation – Proficiency in Infrastructure‐as‐Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI Use Cases. Modern Data Patterns ...