This is a remote position.

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  Build and maintain CI/CD pipelines for machine learning models
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  Operationalise model lifecycle processes including versioning, promotion, and rollback
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  Deploy and operate LangChain and LangGraph based services in production
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  Implement monitoring for model performance, drift detection, and runtime failures
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  Ensure traceability, auditability, and compliance readiness in regulated environments
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  Collaborate with data scientists and ML engineers to support smooth model releases
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  Optimise reliability, scalability, and security of ML and GenAI workloads

Requirements

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  Strong hands on experience in MLOps or ML platform engineering
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  Solid Python skills for automation and tooling
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  Experience with Docker and Kubernetes in production environments
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  Practical experience with MLflow or similar model lifecycle management tools
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  Hands on experience with CI/CD pipelines
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  Experience working with Azure or AWS cloud platforms
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  Understanding of monitoring and observability for ML systems
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  Ability to operate in regulated or compliance heavy environments
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  Fluent English for professional collaboration

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  Experience deploying LangChain or LangGraph based services
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  Exposure to banking, fintech, or fraud detection systems
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  Experience with model governance and regulatory documentation
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  Familiarity with high availability and low latency systems

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