MLOps Engineer – Credit Risk and Fraud Platform (Banking)

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity - supporting industries like Telecom, Banking, and Hi-Tech.

Are you an MLOps Engineer who thrives in production-critical environments where reliability, compliance, and scalability are non-negotiable?

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.

Key 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

What we are looking for

• 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

What we offer

• Solid, competitive salary

• Work in a multinational environment on international projects

• Comprehensive healthcare

• Long-term B2B contract with a stable project pipeline

• Remote work model