MLOps Solutions Engineer

MLOps Solutions Engineer - Kubernetes / Docker / Helm

We're partnered with a genuinely exciting open source company, who are focused on developing an MLOps frameworks that allows Machine Learning engineers and Data Scientists to build, reproduce, and deploy ML pipelines.

They're seeking a high-energy engineer who can navigate MLOps technology, pre-sales, and customer enablement. You’ll turn complex workflows into clear solutions, lead proofs of concept, and ensure customers succeed while influencing product strategy.

This is a permanent full time role, and can be undertaken on a 100% remote basis (+/- 2 hours of CET)

Please note: you must have the full right to work in the country you reside.

What You’ll Do

• Drive technical demos, deep-dive sessions, and enterprise evaluations

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• Lead PoCs from deployment to success, troubleshooting Kubernetes and ML pipelines
• Translate customer feedback into actionable product insights
• Enable adoption, engagement, and retention
• Represent the company at events, creating content and sharing best practices

Your Toolkit:

ZenML, Kubernetes, Docker, Helm, Terraform, Python (Go optional), AWS/GCP/Azure

Your background:

• Full-stack MLOps thinker

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• Customer engineer with excellent communication skills
• Builder who automates and prototypes solutions
• Curious generalist comfortable across technical and GTM workflows

The roles impact:

You’ll directly influence how high-value customers operationalize ML and LLMs, shape community adoption, and work across product, engineering, and growth teams.

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on smouland@eu-recruit.com

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