Senior Azure DevOps Engineer (MLOps) at Version1

We are seeking a highly skilled Azure DevOps & MLOps Consultant to design, implement, and optimise cloud-native and data-driven platforms for our clients. This role involves working closely with engineering, data science, and platform teams to deliver scalable, secure, and resilient solutions on Microsoft Azure.   You will be responsible for building and managing end-to-end CI/CD and ML pipelines, enabling efficient model development, training, deployment, and monitoring. The role emphasises Infrastructure-as-Code (IaC), automation, and reproducibility, supporting both application and machine learning workloads in production environments.  Responsibilities  • Design, implement, and manage CI/CD pipelines for both application and machine learning workloads   • Build and maintain Infrastructure-as-Code (IaC) using tools such as Terraform or Bicep   • Develop and operationalise MLOps pipelines, including data ingestion, model training, validation, deployment, and monitoring   • Automate build, test, and release processes to improve delivery speed and reliability   • Manage and optimise Azure services, including Azure DevOps, Azure Kubernetes Service (AKS), and Azure Machine Learning   • Implement model versioning, experiment tracking, and reproducibility practices   • Collaborate with data scientists and engineers to productionise machine learning models   • Establish monitoring, logging, and alerting for both applications and ML models (performance, drift, failures)   • Ensure security, compliance, and governance across cloud environments   • Optimise cloud infrastructure for cost, performance, and scalability