MLOps Engineer – Portfolio Optimisation and Customer Analytics 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 enjoys bringing analytical models into stable, production-ready environments? Do you thrive in structured, governed ecosystems where scalability, reproducibility, and operational excellence are essential?

We are looking for an MLOps Engineer to support an enterprise analytics and optimisation platform within an international banking environment. The platform underpins pricing, capital allocation, and customer lifetime value decisions across multiple markets and product lines. It operates at scale with regular model retraining cycles and governed analytics processes. Analytical outputs feed both traditional reporting layers and LangChain and LangGraph based GenAI workflows that generate automated insights and scenario analysis. This role focuses on operationalising analytical models and ensuring stable, repeatable production workflows.

Key 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

What we are looking for

• 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

  
  

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