Azure MLOps Engineer – Production ML Pipelines

Hamilton Barnes; Wokingham; On-site; GBP 71,000 - 96,000; Part time

Job summary

Hamilton Barnes is seeking an experienced Azure MLOps Engineer to join a contract-based team in Wokingham, UK. You will build, deploy, and maintain scalable ML solutions on Microsoft Azure, partnering with Data Scientists and DevOps to deliver reliable, secure platforms.

This 6-month, office-based role requires strong Python, Docker, and Azure ML skills, plus experience with CI/CD pipelines and production ML life cycle management.

Qualifications

• 5+ years of experience in MLOps/DevOps or related field.
• Strong proficiency with Azure Machine Learning.
• Hands-on experience with Azure DevOps CI/CD pipelines.
• Strong Python programming skills.
• Experience with Docker and containerized deployments.
• Good understanding of the ML life cycle and production deployment.
• Experience with Azure SQL Database, Azure Storage, and SQL/NoSQL databases.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience monitoring and supporting production ML models.

Responsibilities

• Deploy ML models into Azure production environments.
• Design, implement, and maintain Azure MLOps infrastructure.
• Build and manage CI/CD pipelines for ML 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 documentation and communicate effectively with both technical and non-technical stakeholders.

Skills

MLOps experience

Azure Machine Learning

Azure DevOps CI/CD

Python

Docker

ML lifecycle knowledge

Azure SQL / Storage

TensorFlow / PyTorch

Production ML monitoring

Tools

Docker

Azure DevOps

Azure Machine Learning

Azure SQL Database

Azure Storage

TensorFlow

PyTorch

Scikit-learn

Job description

Hamilton Barnes is seeking an experienced Azure MLOps Engineer to join a contract-based team in Wokingham, UK. You will build, deploy, and maintain scalable ML solutions on Microsoft Azure, partnering with Data Scientists and DevOps to deliver reliable, secure platforms.

This 6-month, office-based role requires strong Python, Docker, and Azure ML skills, plus experience with CI/CD pipelines and production ML life cycle management.