Machine Learning Ops Engineer
Core
Design, build, and deploy machine learning and statistical models in production environments using Azure Machine Learning Studio to support pension and insurance analytics.
Role type
Machine Learning Ops Engineer (Azure)
Builds
Production ML models and automated retraining pipelines for longevity, default risk, and investment outcome predictions.
Domain
Pensions and Insurance / Azure Cloud
Deliverable
production ML models
Required skills
Azure Machine Learning Studio, Python, SQL, Azure Data Factory, CI/CD, MLOps, Power BI
Preferred skills
None stated
Technologies
Azure Machine Learning Studio, Azure Data Factory, Power BI
Responsibilities
Design and deploy ML models in production; manage full ML lifecycle including monitoring and retraining; develop scalable data pipelines; implement MLOps practices like drift detection; collaborate with actuarial teams; train team members on ML workflows.
Seniority
Mid-level, hands-on IC
