Machine Learning Operations Lead

The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models into the live pricing environment.

What you'll be responsible for:

• Lead the development and deployment of the ML Ops platform.
• Oversee the design, build, and testing of API services in the development environment.
• Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions.
• Collaborate with cross-functional teams to deliver the platform in an agile manner.
• Provide guidance on the implementation and management of Azure Cache (Redis), Postgres, Azure Redis, Databricks Delta Live tables, and Snowflake.
• Ensure the platform supports microservices and API-driven architecture with sub-2-second calls.
• Develop and maintain documentation, architecture diagrams, and other technical artifacts.
• Manage the integration of the platform with RADAR and other systems.
• Ensure code is production-ready and follow SDLC best practices.
• Proven experience in ML Ops engineering, with a focus on Azure and Databricks.
• Strong knowledge of Postgres, Azure Cache (Redis), and Azure Redis.
• Experience with Databricks Delta Live tables and Snowflake.
• Experience with Docker and Azure Container Services.
• Familiarity with API service development and orchestration.
• Experience in Data (Delta) Lake Architecture (Azure).
• Excellent problem-solving skills and ability to work collaboratively.
• Strong communication skills and ability to work with cross-functional teams.
• Experience with Azure Functions/Containers and Insights.
• Knowledge of integrating the platform with Snowflake for data storage and retrieval.
• Experience in managing the Software Development Life Cycle.
• Conducting peer-reviews and pair programming.

Additional benefits include:

• Hybrid working - 2 days in the office and 3 days working from home.
• 25 days annual leave, increasing to 27 days after 2 years and 30 days after 5 years, plus bank holidays.
• Discretionary annual bonus.
• Pension scheme - 5% employee, 6% employer.
• Flexible working arrangements and flexi-time.
• Healthcare Cash Plan for cashback on healthcare costs.
• Electric vehicle salary sacrifice scheme.
• Exclusive retailer discounts.
• Wellbeing, health & fitness app - Wrkit.
• Enhanced parental leave, including time off for IVF.
• Religious bank holidays, if applicable.
• Life Assurance - 4 times salary.
• Car and Travel Insurance Discounts.
• Cycle to Work Scheme.
• Employee Referral Scheme.
• Community support day.

About Somerset Bridge Group:

Somerset Bridge Group is dedicated to delivering fair products and innovative services in the insurance industry, focusing on underwriting, broking, and claims handling. Our subsidiaries, including GoSkippy and Vavista, serve over 700,000 customers. We are committed to values, culture, and customer service excellence, recognized by awards and growth. Join us to be part of a dynamic team that fosters creative thinking and personal development. We are proud to hold a Silver Accreditation from Investors in People.

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