Machine Learning Engineer
City of London, London, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Bounteous
including notebook development, cluster configuration, and job orchestration. - Experience working with managed endpoints, such as Azure Kubernetes Service (AKS) or similar orchestration tools. - Proficiency with Version Control Systems (VCS) like Git. - Practical experience implementing CI/CD pipelines for automated testing and deployment. - Strong ability to identify opportunities to leverage machine learning for solving real-world business problems. - Demonstrated More ❯
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