PbMachine Learning Engineer - LLM / Fixed Term Contract /b /ppbr/ppWe 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. /ppbr/ppThis is a fixed-term contract with hybrid working in Zaragoza. /ppbr/ppbKey Responsibilities for this Machine Learning Engineer position: /b /pulliBuild data and model pipelines end-to-end — from dataset creation, sourcing, and validation to training and deployment. /liliDesign rigorous evaluation frameworks to test performance, reliability, and model alignment. /liliScale and optimize training/inference processes for speed, efficiency, and performance. /liliImprove post-training models using supervised fine-tuning and reinforcement learning methods. /liliApply model compression and optimization techniques to meet latency and footprint goals. /liliCollaborate with research and software engineering teams on data curation, model serving, and system observability. /liliWrite clean, well-tested Python code while maintaining documentation and engineering standards. /li /ulpbr/ppbKey Requirements: /b /pulliProficiency in Python and the modern ML stack (e.g., PyTorch, NumPy, Pandas). /liliSolid understanding of large language model (LLM) training, evaluation, and data strategies. /liliExperience handling large-scale datasets — collection, filtering, and annotation. /liliStrong grasp of GPU computing, containerization (Docker), and workflow orchestration. /li /ulpbr/ppbKeywords: /bMachine 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 /ppbr/ppIf you are interested in this Machine Learning Engineer position, please send a copy of your CV to /ppbr/ppBy 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 /p