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We’re looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you’ll help build and maintain the infrastructure that supports machine learning models in a live environment.
Job Responsibility:
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)
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
Nice to have:
exposure to Azure Functions, Containers, or Insights
What we offer:
25 days holiday (rising with ), plus bank holidays