MLOps Engineer (Kubernetes / Machine Learning / DevOps / Python) | Salary from €55k-€75k p / a | Fixed term contract to June 2026 | Hybrid WFH | Madrid | Quantum Computing
Hybrid working 3 days in office, 2 days WFH
Can be based in Madrid
or
Barcelona
Fixed term contract only, project ends at the end of June 2026
An international deep-tech organisation at the cutting edge of
AI and Quantum Computing
is seeking an
MLOps Engineer
to help deploy, scale, and optimise
Large Language Models (LLMs)
used across global enterprise projects.
We’re looking for experienced MLOps specialists who want to play a key role in delivering cutting-edge AI and LLM solutions. You’ll be joining a fast-paced environment, working with global experts on projects that push the boundaries of artificial intelligence, quantum-inspired optimization, and large-scale machine learning.
This is an opportunity to work within a world-class technical team developing
next-generation AI infrastructure
, ensuring model performance, observability, and scalability across diverse real-world environments.
What You’ll Do
ML / LLM pipelines
from experimentation to production.
Docker, Kubernetes, CI / CD, and GitOps
MLOps best practices
and infrastructure.
Engineer Aws Hibrido • Madrid, Spain