Senior Machine Learning Engineer
Core
Building automated machine learning pipelines for insurance risk modelling and pricing to optimize products, prices, and processes for private, commercial, and motorcycle insurance.
Role type
Senior Machine Learning Engineer (IC with mentorship)
Builds
Automated ML pipelines for insurance risk and pricing models
Domain
Insurance (Motor, Commercial, Home) / Machine Learning
Deliverable
production ML models
Required skills
Tuning machine learning methods, deploying and maintaining ML pipelines, DevOps/MLOps, test-driven development (TDD), SOLID principles, predictive modelling (Logistic Regression, GBMs, Random Forests, Neural Nets), Docker, Kubernetes, Python, SQL
Preferred skills
Data and model monitoring
Technologies
Azure ML, AWS, Databricks, Google Cloud, Docker, Kubernetes, GitHub, PySpark, R, SAS
Responsibilities
Tune ML methods for optimal performance, deploy and maintain ML methods in pipelines, propose and deliver novel ML processes, mentor junior ML engineers, collaborate with data science teams, implement efficient solutions across multiple insurance markets
Seniority
Senior, hands-on IC with mentorship