Senior Machine Learning Engineer
Core
Design, build, and deploy production-grade machine learning models for fraud detection, risk scoring, and predictive analytics in financial and insurance domains.
Role type
Senior Machine Learning Engineer
Builds
Production ML systems for fraud detection, risk modelling, and customer analytics
Domain
FinTech / InsurTech
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, MLOps, CI/CD, Docker, Kubernetes, AWS, GCP, Azure, statistics, data modelling, software engineering
Preferred skills
Financial services or insurance domain experience
Technologies
PyTorch, TensorFlow, Scikit-learn, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and deploy ML models for fraud detection and risk scoring; Develop scalable ML pipelines; Collaborate with product and domain experts to translate business problems into ML solutions; Optimise model performance and ensure reliability in production; Contribute to ML and MLOps architecture and best practices
Seniority
Senior, hands-on IC
