MLOps Solution Engineer

MLOps Solution Engineer

European Tech Recruit are working closely with an exciting machine learning company, who are looking for a talented MLOps Solution Engineer to join their team on a fully remote basis.

In this role you’ll work across pre-sales engineering, proof-of-concept delivery, customer advocacy, and product strategy. You’ll design demos that wow technical audiences, troubleshoot Kubernetes and tool issues during trials, translate customer insights into roadmap feedback, and help shape how teams use the product to run production-grade ML and LLM workflows.

Responsibilities as MLOps Solution Engineer:

• Pre-Sales & Enablement: Drive technical demos and solution deep-dives with enterprise prospects, tailoring ML and AI workflows and integrations to their environments. Build convincing technical narratives with architecture diagrams and proof-of-value setups. Re-engage leads and qualify promising prospects through community and outbound channels.
• Proof of Concept (PoC): Lead customer trials from setup to success: deploy the product via Helm/Terraform, guide pipeline engineering, and troubleshoot any infrastructure or SDK issues. Keep PoCs scoped, on track, and outcome-focused.

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• Customer Success & Support: Ensure users extract full value from the product by triaging issues, running feature enablement sessions, and engaging new users in community channels. Monitor adoption and proactively address friction points to drive retention.
• Product & Engineering Collaboration: Turn customer learnings into product improvements - from drafting PRDs and testing new features to developing code examples and documentation. Act as a strong advocate for developer experience and seamless deployment.
• Operations, Growth & Evangelism: Optimize GTM systems (billing, CRM, analytics) and share insights across teams. Represent the company at events, deliver talks, and co-create content that spreads best practices and user success stories.

Requirements:

• The Infrastructure: Kubernetes (deploying and debugging apps), Docker, Helm, Terraform.
• The Code: Python (Scripting, SDK, contributing to codebase), Go (optional, Terraform provider).
• The Clouds: AWS (EKS), GCP (GKE), Azure (AKS).
• Full-Stack MLOps Thinker: You understand both the ML lifecycle and the infrastructure it runs on.

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• Customer Engineer Mindset: You can talk to data scientists, DevOps engineers, and decision-makers with equal confidence.
• Strong Communicator: You enjoy teaching, writing, and simplifying complex technical concepts.
• Builder Mentality: You don’t just identify friction — you script, automate, or prototype the fix.
• Curious Generalist: Comfortable operating across technical and GTM workflows, from Kubernetes debugging to CRM hygiene.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.

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