Machine Learning Engineer

A Quantum Computing & AI software company based in Madrid are seeking to bolster their team with a Machine Learning engineer.

Please note this is a fixed term contract of 9 months.

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 [email protected].

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