Azure MLOps Engineer - Inside IR35 - Onsite

Job Title: Azure MLOps Engineer Location: Wokingham, UKEmployment Type: ContractDuration: 6 monthsWork Mode: Office-based (5 days per week)Rate: Up to £450/day About the Role We are looking for an experienced Azure MLOps Engineer to join a growing team responsible for building, deploying, and maintaining scalable machine learning solutions on Microsoft Azure. You will work closely with Data Scientists, DevOps Engineers, Architects, and Software Developers to deliver reliable, secure, and automated MLOps platforms supporting large-scale data processing and production ML workloads. Key Responsibilities Deploy machine learning models into Azure production environments. Design, implement, and maintain Azure MLOps infrastructure. Build and manage CI/CD pipelines for machine learning solutions using Azure DevOps. Containerize applications and ML models using Docker. Monitor model performance, health, and reliability in production. Implement logging, monitoring, and alerting solutions. Optimize infrastructure for scalability, performance, and cost efficiency. Implement automated deployment and scaling strategies. Manage Azure cloud resources supporting ML workloads. Ensure security, governance, and compliance with data protection standards. Manage data pipelines, storage, versioning, and lineage. Collaborate with cross-functional teams to support end-to-end ML life cycle management. Troubleshoot production issues and continuously improve platform performance. Maintain technical ..... full job details .....