Machine Learning / MLOps Engineer_Nottingham (ML Engineer II)

Job summary

Seeking a Machine Learning / MLOps Engineer to build, deploy, and support production-ready machine learning solutions on Azure and Databricks.

Qualifications

• Hands-on experience as an ML Engineer or MLOps Engineer.
• Strong experience with Azure Cloud, Databricks, Python, PySpark, SQL, and CI/CD.
• Experience building production-grade ML pipelines.
• Understanding of model monitoring and governance.
• Experience working across Data Science and Engineering teams.

Responsibilities

• Deploy and operationalise machine learning models.
• Build and maintain ML and data pipelines.
• Develop and manage Databricks Workflows and model deployment processes.
• Implement CI/CD pipelines and Git-based practices.
• Build monitoring for model performance and data quality.
• Manage model lifecycle activities including versioning and testing.
• Collaborate with platform, cloud, and operational teams.
• Create deployment documentation and support processes.

Skills

Certifications

Relocation