Senior MLOps Engineer

We're looking for Senior MLOps Engineer for our client in Stockhlm. The Position You'll be working with a rapidly growing deep-tech startup building a platform for the manufacturing industry and apply ML/AI to how physical products are designed and produced. The ML team is shipping, and the GPU platform underneath it now needs a dedicated owner. You’ll take the training and evaluation infrastructure that already works and decide how it scales, so the ML engineers can focus on models rather than machines. This is a high-ownership role with very little process between you and the decisions. What you’ll work on

• Training infrastructure across on-prem GPUs in the office and cloud capacity on AWS
• End-to-end reproducibility: versioned datasets, tracked experiments, and every model traceable back to the data it learned from
• The infrastructure behind their generative design agents and the evaluations that test them
• Interactive GPU environments that pause when idle, keep their state, and resume within seconds on any machine
• Keeping GPU spend under control and customer data secure
• Working directly alongside the ML engineers and clearing whatever slows them down

Requirements

• 5+ years experience building and running ML infrastructure
• Comfortable working directly with GPUs, from driver and CUDA issues through to finding capacity and keeping cloud bills sensible
• IaC with Terraform/Terragrunt and strong cloud skills (Ideally AWS)
• You get uneasy when an experiment can’t be rerun or data isn’t properly locked down, and you build systems that prevent both
• Fluent English speaker, able to work onsite in Stockholm.

Nice to have: some time on the modelling side yourself, or experience running LLM-based agents for real users The offer

• Above market Base salary
• Attractive Stock option plan
• ITP Pension Plan
• A small, skilled but humble team that writes things down, proposes before it builds, and measures before it claims
• Real autonomy and trust from day one