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Technical Project Manager | AI Start-up | Fixed-term Contract Join a European deep-tech leader in quantum and AI. A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50–80%. This is your chance to be part of a team often described as a "quantum-AI unicorn in the making." This is a Hybrid opportunity in Barcelona. It is a fixed-term contract to work until 30th June 2026 Responsibilities Lead cross-functional teams of engineers and machine learning practitioners to deliver impactful LLM and AI solutions for top-tier industry clients. Drive the full project lifecycle for advanced ML projects: from scoping and planning to deployment, ensuring successful, timely, and high-quality delivery. Translate complex business requirements into actionable technical plans and roadmaps tailored to machine learning and LLM-based initiatives. Oversee project progress, resource allocation, and milestone achievement, making data-driven adjustments and risk mitigations as needed. Facilitate solution design discussions and ensure technical feasibility of LLM/ML approaches, collaborating closely with research and product stakeholders. Proactively resolve blockers, manage team dependencies, and champion best engineering practices for scalable AI systems. Prepare and track project KPIs, ensuring a transparent view of status, risks, and deliverables to leadership and client stakeholders. Foster a culture of collaboration and continuous improvement, working with other project managers to align on cross-team initiatives for LLM/ML excellence. Communicate technical ideas and project status clearly across engineering and non-technical leadership, tailoring detail as required. Required Qualifications Master's degree in Computer Science, Data Science, Physics, Engineering, or a related field. 4+ years' experience delivering ML or data-driven software projects in industry, including planning, execution, and delivery. 2+ years' experience managing end-to-end engineering projects; experience specifically with LLMs or NLP projects is a strong plus. Hands-on familiarity with contemporary ML and software engineering tools (Python, git, Docker); comfortable discussing technical tradeoffs. Experience with agile/scrum methodologies in software or ML-focused teams. Good communication and stakeholder management abilities, including with non-technical audiences. Interested? Apply directly through LinkedIn, or send your CV to 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