Machine Learning Engineer

A Quantum Computing & AI software company based in Zaragoza are seeking to bolster their team with a Machine Learning engineer. Please note this is a fixed term contract until June 2026.

Responsibilities:

Build and manage end-to-end data and model workflows, including dataset creation, model training, evaluation, and deployment to meet product goals. Create and maintain rigorous testing frameworks to ensure model accuracy, reliability, and task alignment through statistical and continuous evaluation methods. Enhance training and inference efficiency through distributed computing, system optimisation, and algorithmic improvements. Apply reinforcement learning, fine-tuning, and preference-based methods to improve model quality, reasoning, and safety. Work closely with researchers and engineers to support data curation, training, and deployment; contribute clean, well-documented, and tested code.

Requirements:

Bachelor’s degree in Computer Science, Mathematics, Physics, Data Science, Operations Research, or a related field. Proficient in Python, PyTorch, and core data libraries (NumPy, Pandas), with experience using modern ML development practices (Git, CI/CD, testing). Strong understanding of language modelling, data processing, model architectures, and evaluation methodologies. Skilled in handling large datasets and familiar with GPU utilisation, containerised environments (e.g., Docker), and cloud orchestration tools. Ability to translate research insights into production-ready solutions with clear communication and a collaborative approach.

If this role is of interest please apply directly on LinkedIn or send a copy of your CV to

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