This is a remote position.

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  Design and operate training and deployment pipelines for analytical and optimisation models
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  Automate model retraining, validation, and promotion processes
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  Ensure reproducibility and consistency across development, testing, and production environments
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  Support scalable analytical workloads across cloud platforms
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  Enable structured exposure of model outputs to LangChain and LangGraph workflows
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  Monitor performance, stability, and reliability of ML pipelines
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  Collaborate closely with data scientists and analytics teams to streamline experimentation to production

Requirements

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  Strong experience in MLOps or ML platform engineering
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  Solid Python skills for automation and tooling
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  Hands on experience with Docker and Kubernetes
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  Practical experience with MLflow or similar model lifecycle management tools
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  Experience with workflow orchestration tools such as Airflow
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  Hands on experience with CI/CD pipelines
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  Experience working with cloud data platforms
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  Strong understanding of reproducibility and environment management
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  Fluent English for professional collaboration
  Nice to have
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  Experience integrating ML outputs with LangChain or LangGraph workflows
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  Exposure to banking, finance, or regulated environments
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  Experience with optimisation models or large scale analytical platforms
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  Understanding of data governance and audit requirements

Benefits

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  Solid, competitive salary
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  Work in a multinational environment on international projects
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  Comprehensive healthcare
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  Long-term B2B contract with a stable project pipeline
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  Remote work model