MLOps Engineer - Python, Azure, Docker, CI/CD

About the role

A global gaming technology company is hiring an MLOps Engineer. The role builds the platforms, pipelines and serving systems that take machine learning from experiment to production and keeps it running reliably for millions of users.

Key responsibilities

• Serve models at scale: design and run scalable inference and serving systems for ML workloads.
• Automate data, training and inference pipelines.
• Build and manage CI/CD pipelines for testing, validation and deployment.
• Monitor deployed APIs for performance, reliability and security.
• Create internal tools that teams use to configure and manage ML systems in production.
• Build observability dashboards and alerting for model and infrastructure health.
• Write unit and integration tests for ML code, pipelines and deployment workflows.
• Follow security best practices in containerised deployments and data handling.

Required profile

• Strong Python with solid software architecture and development skills.
• Real experience deploying and managing ML models in production.
• Degree in Computer Science, Engineering or a related field (Bachelor's or Master's).

Required skills

• Cloud platforms, ideally Microsoft Azure
• Docker and containerisation
• Monitoring, logging and alerting
• Version control (Git), package management and dependency tracking
• Data modelling, ETL and databases, SQL and NoSQL
• Core machine learning concepts and algorithms