DevOps Engineer for Machine Learning Pipelines

2 weeks ago


London, Greater London, United Kingdom Crane Venture Partners Full time

Crane Venture Partners is seeking an exceptional DevOps Engineer to join our Research Data Science team. As a key member of the team, you will be responsible for designing and implementing a robust ML training pipeline in AWS, ensuring scalability and reliability.

About the Role:

This is a unique opportunity to work on cutting-edge technologies that will improve how we diagnose and treat brain disorders. The successful candidate will have expertise in architecting and implementing scalable solutions to support machine learning pipelines, including model training, evaluation, and inference.

  • Design and implement automated workflows for containerization, CI/CD pipelines, and infrastructure as code to achieve scalability and reliability.
  • Develop and maintain a robust configuration management system to store, version, and retrieve configurations associated with multiple machine learning workflows.
  • Implement robust error handling and monitoring solutions to ensure timely debugging across the pipeline with centralized logging and error reporting.
Key Responsibilities:
  • Collaborate with cross-functional teams to design and implement machine learning pipelines, ensuring seamless integration with existing systems.
  • Develop and maintain Docker images for machine learning workflows, publishing them to AWS ECR.
  • Implement cost-effective compute resource management, ensuring efficient use and scalability of cloud (AWS) and on-premise GPU nodes.


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