- Senior Mlops Engineer - - €39.000 - €55.000 A Year

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 Design, deploy, and manage ML / LLM pipelines from experimentation to production. Build automation workflows with Docker, Kubernetes, CI / CD, and GitOps. Monitor model performance and system health using modern observability tools. Collaborate with researchers and engineers to optimise training, inference, and deployment. Contribute to the development of robust, scalable MLOps best practices and infrastructure. What You'll Bring 3+ years of hands-on experience in MLOps, ML Engineering, or LLMOps. Proficiency in Python and cloud infrastructure (AWS, Azure, or GCP). Familiarity with Kubernetes, Docker, and infrastructure-as-code tools. (Essential) Experience with distributed training frameworks (Ray, DeepSpeed, FSDP, Megatron). Understanding of Generative AI systems, vector search, and RAG pipelines. Excellent communication skills and the ability to work within fast-moving, cross-functional teams. Key Details Contract : Fixed term (until mid-2026) Location : Madrid or Barcelona (Hybrid working model) Environment : Fast-paced AI innovation hub with global reach If you're passionate about MLOps, LLM systems, and production-scale AI delivery, this is a unique opportunity to work on projects that push the limits of what's possible in machine learning operations.