Salary: £50,000 - 70,000 per year Requirements: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Responsibilities: Developing and maintaining API services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model deployment, and data-driven decision tools Conducting performance, load, and end-to-end testing Writing pipeline code and managing deployments via Azure DevOps (GitHub) Technologies: API Azure Cloud Databricks DevOps Docker GitHub Machine Learning Redis Snowflake More: We are seeking a skilled Machine Learning Engineer to join our newly established team working on an exciting data platform project. This hands-on role involves building and maintaining the infrastructure that supports machine learning models in a live environment. We offer excellent benefits, including 25 days of holiday that rise with service, an annual discretionary bonus, and flexible working options. Join us and be part of a team that values innovation and collaboration. last updated 7 week of 2026