MLOps Engineer – Credit Risk and Fraud Platform (Banking)

We are looking for an MLOps Engineer to join a large scale decision intelligence platform supporting credit risk assessment and fraud prevention within an international banking environment. The platform combines advanced machine learning, high volume data processing, and GenAI orchestration layers embedded directly into live banking systems. This is a production critical role focused on operational excellence, reliability, and regulatory alignment. The system is already live and continuously evolving, with frequent model releases, new data integrations, and LangChain and LangGraph based reasoning components layered on top of core ML outputs.

Responsibilities

• Build and maintain CI/CD pipelines for machine learning models
• Operationalise model lifecycle processes including versioning, promotion, and rollback
• Deploy and operate LangChain and LangGraph based services in production
• Implement monitoring for model performance, drift detection, and runtime failures
• Ensure traceability, auditability, and compliance readiness in regulated environments
• Collaborate with data scientists and ML engineers to support smooth model releases
• Optimise reliability, scalability, and security of ML and GenAI workloads

Requirements

• Strong hands on experience in MLOps or ML platform engineering
• Solid Python skills for automation and tooling
• Experience with Docker and Kubernetes in production environments
• Practical experience with MLflow or similar model lifecycle management tools
• Hands on experience with CI/CD pipelines
• Experience working with Azure or AWS cloud platforms
• Understanding of monitoring and observability for ML systems
• Ability to operate in regulated or compliance heavy environments
• Fluent English for professional collaboration