🚀 Machine Learning Engineer (hybrid or remote)

Machine Learning Engineer (Product)

We are working with a leading Quantum AI start-up taking on a mission to make AI faster, greener, and more accessible. Within this role you will be collaborating with world-leading experts in quantum computing and AI, building breakthrough solutions that deliver real-world impact for global clients.

This is your chance to work on cutting-edge projects at the intersection of LLMs, quantum-inspired tech, and applied AI innovation.

This is a 9-month fixed-term contract (with potential extension), based in Madrid with hybrid working flexibility.

Invent new ways to compress and optimise Large Language Models with quantum-inspired methods.

Benchmark, stress-test, and fine-tune LLMs to boost accuracy, efficiency, and robustness.

Act as an LLM specialist, spotting opportunities where quantum AI can make the impossible possible.

A degree in AI, Computer Science, Data Science (BSc, MSc, or PhD).

~2+ years of hands‑on deep learning experience – designing, training, or fine‑tuning transformers or vision models.

~ Solid grasp of deep learning theory, training & inference.

~ Excellent Python skills with PyTorch + Hugging Face expertise.

~ Hands‑on with AWS (or similar), Docker, and deploying models in production.

~ Problem‑solver with sharp debugging, testing, and performance optimisation skills.

~ Clear communicator, great collaborator, fluent in English.

~ Keywords : Machine Learning / GPU / LLM / Large Language / Deep Learning / AWS / Orchestration / Docker / Mistral AI / OpenAI / LangChain / TPU / Hugging Face / PyTorch / Transformer Models / Fine‑Tuning

By applying to this role you understand that we may collect your personal data and store and process it on our systems.