This role focuses on building machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production.
Develop and deploy ML models
Work with structured financial datasets
Collaborate with engineering teams
Improve model performance and monitoring
Support production ML pipelines
Machine learning engineering experience
Python and ML frameworks
Experience deploying models to production
Financial services or data-heavy background
Cloud ML tooling exposure
NLP or time-series modelling
MLOps experience
Risk or fraud use cases
Applied ML in production
High-impact financial use cases
Growing AI capability