Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics is open at Canonical in Home based - Worldwide. Posted on Apr 11, 2024, and still on Canonical’s careers page when we last checked, on Nov 14, 2026.
About the role
, but we don't expect everyone to bring all of them. Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing…
The opening lines of the posting. The rest is on Canonical’s careers page.
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