MACHINE LEARNING ENGINEER - George (Hybrid negotiable)
Core
Dedicated engineering partner for a Data Science team, bridging data engineering and ML Ops to ensure reliable model production in a regulated insurance environment.
Role type
Senior Machine Learning Engineer (Data Engineering & MLOps)
Builds
Feature pipelines, production ML models, and ML deployment infrastructure for the Data Science team
Domain
Insurance / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, Azure cloud services, Snowflake, CI/CD, Docker, model monitoring, feature engineering
Preferred skills
Experience with dbt, Git version control, responsible AI practices
Technologies
Azure, Snowflake, Python, dbt, Docker, Git
Responsibilities
Design and build feature pipelines and training datasets; maintain high-quality data assets in Snowflake; partner with Data Scientists to productionise ML models; implement CI/CD practices for ML workflows; monitor deployed models for performance and drift; establish ML engineering standards and best practices
Seniority
Senior, hands-on IC
