Machine Learning Engineer - LLM / Fixed Term Contract
We 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.
This is a 9-month fixed-term contract with hybrid working from either Madrid or Barcelona.
Key Responsibilities for this Machine Learning Engineer position:
* Build data and model pipelines end-to-end — from dataset creation, sourcing, and validation to training and deployment.
* Design rigorous evaluation frameworks to test performance, reliability, and model alignment.
* Scale and optimize training/inference processes for speed, efficiency, and performance.
* Improve post-training models using supervised fine-tuning and reinforcement learning methods.
* Apply model compression and optimization techniques to meet latency and footprint goals.
* Collaborate with research and software engineering teams on data curation, model serving, and system observability.
* Write clean, well-tested Python code while maintaining documentation and engineering standards.
Key Requirements:
* Proficiency in Python and the modern ML stack (e.g., PyTorch, NumPy, Pandas).
* Solid understanding of large language model (LLM) training, evaluation, and data strategies.
* Experience handling large-scale datasets — collection, filtering, and annotation.
* Strong grasp of GPU computing, containerization (Docker), and workflow orchestration.
Keywords: Machine 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
If you are interested in this Machine Learning Engineer position, please send a copy of your CV to ts@eu-recruit.com
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