2 of 2 Azure Functions Jobs in Gloucestershire

and monitoring of machine learning models in production. What you'll be doing as Lead ML Ops Engineer: Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake … goals Establishing best practices for model deployment, monitoring, and lifecycle management Conducting performance tuning, load testing, and reliability engineering Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub Mentoring junior engineers and fostering a culture of technical excellence and innovation What we're looking for from the Machine Learning Operations Lead: Proven experience in … ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction Bonus: experience with Azure Functions, Azure Containers More ❯

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 … 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 More ❯