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MLOps Engineer – Portfolio Optimisation and Customer Analytics Platform (Banking
REMOTE · WORLDWIDE
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Full-time
About the Role
We are looking for an MLOps Engineer to support an enterprise analytics and optimisation platform in an international banking environment. The platform underpins pricing, capital allocation, and customer lifetime value decisions, and feeds both traditional reporting layers and LangChain/LangGraph-based GenAI workflows. 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
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Taskium
New Providence · BS · 1+ employees
Taskium is a technology company that provides software development, project management, and CRM solutions. It offers AI-supported digital tools designed to simplify daily tasks, streamline communication, and manage business projects efficiently.
