What We're Looking For

• Strong commercial experience as a Machine Learning Engineer, ideally within large-scale or complex environments.
• 2+ years of hands-on experience building Machine Learning solutions on Databricks.
• Experience across the Databricks ecosystem, ideally including technologies such as Unity Catalog, MLflow and Databricks Asset Bundles or comparable tooling.
• Strong Python development experience.
• Strong understanding of SQL and relational databases such as MS SQL, MySQL, HANA, PostgreSQL or similar.
• Strong broader Software Engineering experience, ideally 5+ years.
• Experience deploying and operating production-grade Machine Learning services.
• Strong understanding of Apache Spark and distributed data processing.
• Experience working within a major cloud environment. AWS is the primary environment, although strong Azure or GCP experience is also relevant.
• Experience with CI/CD and modern DevOps practices, regardless of the specific tooling used.
• Good Linux knowledge and experience working within production environments.
• Strong problem-solving skills and the ability to work effectively across technical teams.
• Professional English communication skills.

The Programme

This is an opportunity to join a significant enterprise AI and Data transformation programme, focused on building the engineering and platform capabilities required to deploy Machine Learning at scale.