MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking)
This is a remote position.
We are looking for an MLOps Engineer to support an reputed company analytics and optimisation platform reputed company an international banking environment. The platform underpins pricing, capital allocation, and customer lifetime value reputed company 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 reputed company and LangGraph based GenAI workflows that generate automated insights and scenario analysis. This role focuses on operationalising analytical models and ensuring reputed company, 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 reputed company platforms
- reputed company structured exposure of model outputs to reputed company 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 reputed company 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 reputed company data platforms
- Strong understanding of reproducibility and environment management
- Fluent English for professional collaboration reputed company to have
- Experience integrating ML outputs with reputed company 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
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive reputed company
- Long-term B2B contract with a reputed company project pipeline
- Remote work model