Machine Learning Manager - NLP & Large Language Models
Location: Spain (hybrid) | Full-Time | Permanent
I am supporting a rapidly expanding, well-backed AI organisation based in Europe that is seeking a Machine Learning Manager to lead strategic initiatives focused on Natural Language Processing (NLP) and Large Language Models (LLMs).
This company creates efficient AI solutions designed for enterprise clients across industries, including finance, energy, manufacturing, and cybersecurity. Their team is diverse, collaborative, and mission-oriented, dedicated to building scalable and sustainable AI technologies.
The role offers the opportunity to take technical leadership within a growing engineering group, bridging applied research, model development, and the delivery of impactful machine learning systems.
Primary Responsibilities:
Lead and mentor a team of engineers developing practical NLP and LLM applications
Establish technical direction for projects to ensure scalability, robustness, and alignment with client needs
Manage full project lifecycles, including design, implementation, and risk management
Serve as the liaison between technical teams, stakeholders, and product management
Coordinate cross-team initiatives and contribute to overall technology strategies
Required Qualifications:
Master’s degree in Computer Science, Engineering, or a related technical discipline
Minimum 4 years experience in AI, ML, or software development
Proven leadership experience managing ML projects and teams end-to-end
Deep expertise in LLMs and generative AI techniques (e.g., fine-tuning, retrieval-augmented generation, pruning)
Proficiency with Python, Git, Docker, and modern software development workflows
Comfortable in agile environments and cross-team collaboration
Professional fluency in English and Spanish
Preferred Qualifications:
PhD or advanced degree in a relevant field
Experience with advanced model compression techniques or tensor-based methods
What We Offer:
Competitive salary plus performance-related bonus
Support for relocation/sponsorship support
Private health insurance coverage
Flexible hybrid working arrangements
Annual budget for learning and professional development
Long-term career growth opportunities
Inclusive, international work environment focused on meaningful impact and teamwork