Role overview
This is a remote position.
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.
What you'll work on
- 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
What we're looking for
- Experience deploying LangChain or LangGraph based services
- Exposure to banking, fintech, or fraud detection systems
- Experience with model governance and regulatory documentation
- Familiarity with high availability and low latency systems
Tags & focus areas
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