Sr. MLOps Engineer

Crucial hire!

• This fast-moving AI group is building production-grade LLM systems for real-world enterprise use cases. They’re looking for an MLOps Engineer to own the infrastructure, orchestration, and CI/CD that power their LLM workloads at scale.
• You’ll be the go-to person making sure cutting-edge models run fast, stable, and cost-efficiently in production.

TL;DR

📍 Location: Amsterdam (relocation & visa sponsorship available)

💼 Env: AI / LLM / infra-first engineering

⚡ Mission: Run LLMs at scale - build APIs, optimise inference, empower ML teams

🔧 Tech: Python, FastAPI, vLLM, TGI, K8s, Terraform, MLflow, W&B, GCP/AWS, Ray

🗣 Language: English-first environment

• Salary? Up to 140k

Role

• You’ll design and maintain GPU-powered ML pipelines from data to inference, build high-performance APIs for LLM services, and own CI/CD, observability, and versioning for ML systems.
• You’ll be working closely with ML engineers and researchers to turn prototypes into reliable, production-grade LLM products.

Who?

✔ 3–5+ years in MLOps / DevOps for ML systems

✔ Strong Kubernetes + Python API skills

✔ Hands-on with vLLM, TGI, KServe, or similar inference frameworks

✔ Bonus: Ray, Argo Workflows, GPU optimisation, or safe rollout strategies

✔ Calm under pressure, loves squeezing performance out of infra

Why Join?

🚀 Shape how LLM workloads are deployed and scaled for real customers

🤝 High-trust, engineering-driven culture with plenty of room to own decisions

🌍 Relocation & visa sponsorship on offer