Key skills
MLOpsPythonDockerKubernetesMLflowAirflowCI/CDCloud platformsReproducibilityEnglishMLLangChainLangGraphAnalyticsCollaboration
About this role
Madiff is a fintech company seeking an MLOps Engineer to support an enterprise analytics and optimisation platform within an international banking environment. The role focuses on operationalising analytical models and ensuring stable, repeatable production workflows.
Responsibilities:
- Design and operate training and deployment pipelines for analytical and optimisation models
- Automate model retraining, validation, and promotion processes
- Ensure reproducibility and consistency across development, testing, and production environments
- Support scalable analytical workloads across cloud platforms
- Enable structured exposure of model outputs to LangChain and LangGraph workflows
- Monitor performance, stability, and reliability of ML pipelines
- Collaborate closely with data scientists and analytics teams to streamline experimentation to production
Requirements:
- Strong experience in MLOps or ML platform engineering
- Solid Python skills for automation and tooling
- Hands on experience with Docker and Kubernetes
- Practical experience with MLflow or similar model lifecycle management tools
- Experience with workflow orchestration tools such as Airflow
- Hands on experience with CI/CD pipelines
- Experience working with cloud data platforms
- Strong understanding of reproducibility and environment management
- Fluent English for professional collaboration
- Experience integrating ML outputs with LangChain or LangGraph workflows
- Exposure to banking, finance, or regulated environments
- Experience with optimisation models or large scale analytical platforms
- Understanding of data governance and audit requirements