Key skills
MLOpsPythonDockerKubernetesCI/CD pipelinesAzureAWSMLflowMonitoring ML systemsRegulatory complianceFluent EnglishMachine LearningMLGenAILangChainLangGraphCI/CDCollaboration
About this role
Madiff is a company operating in the fintech industry, and they are seeking an MLOps Engineer to join their decision intelligence platform focused on credit risk assessment and fraud prevention. The role involves building and maintaining CI/CD pipelines for machine learning models and ensuring operational excellence within a regulated banking environment.
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
- 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