Machine Learning Operations Engineer – Remote - £50-£70k + excellent benefits

We’re looking for a skilled Machine Learning Operations 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.

What you’ll be doing as the Machine Learning Operations Engineer:

• 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)

What we’re looking for from the Machine Learning Operations Engineer:

• 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

Benefits for the Machine Learning Operations Engineer:

• 25 days holiday (rising with service), plus bank holidays
• Annual discretionary bonus
• Enhanced Pension scheme
• Flexible working and flexi-time options
• Healthcare cash plan
• Electric vehicle salary sacrifice scheme
• Discounts scheme
• Wellbeing app
• Enhanced mat and pat leave
• Life assurance (4x salary)
• Discounts on insurance
• Cycle to Work scheme
• Employee referral scheme