Pbu Machine Learning Engineer - LLM / Fixed Term Contract /u /b /p p We are currently partnered with a world-leading quantum AI company developing cutting-edge solutions that make artificial intelligence faster, greener, and more accessible. Their products bridge the gap between quantum computing and AI, helping global clients solve complex real-world problems at scale. /p p This is a fixed-term contract with hybrid working in Zaragoza. /p pb Key Responsibilities for this Machine Learning Engineer position: /b /pulli Build data and model pipelines end-to-end — from dataset creation, sourcing, and validation to training and deployment. /lili Design rigorous evaluation frameworks to test performance, reliability, and model alignment. /lili Scale and optimize training/inference processes for speed, efficiency, and performance. /lili Improve post-training models using supervised fine-tuning and reinforcement learning methods. /lili Apply model compression and optimization techniques to meet latency and footprint goals. /lili Collaborate with research and software engineering teams on data curation, model serving, and system observability. /lili Write clean, well-tested Python code while maintaining documentation and engineering standards. /li /ul pb Key Requirements: /b /pulli Proficiency in Python and the modern ML stack (e.g., PyTorch, NumPy, Pandas). /lili Solid understanding of large language model (LLM) training, evaluation, and data strategies. /lili Experience handling large-scale datasets — collection, filtering, and annotation. /lili Strong grasp of GPU computing, containerization (Docker), and workflow orchestration. /li /ul pb Keywords: /b Machine Learning / ML Engineer / AI Engineer / Quantum AI / Large Language Models / LLM / PyTorch / Python / Data Pipelines / Model Optimization / Reinforcement Learning / Distributed Systems / GPU Computing / Docker / ML Infrastructure / Data Engineering / Model Evaluation / AI Product Development /p p If you are interested in this Machine Learning Engineer position, please send a copy of your CV to /p pem By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice /em /p