Join the Future of AI : Machine Learning Engineer (Fixed Term Contract until the end of June 2026)
Are you a driven Machine Learning Engineer ready to tackle the next generation of computing?
We are a leading Quantum AI company pioneering cutting-edge solutions that make AI faster, greener, and more accessible . This is a fantastic opportunity to work alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients.
This is an initial Fixed Term Contract until the end of June 2026 offering Hybrid working from our sites in Madrid or Barcelona .
What You'll Be Doing :
As a Machine Learning Engineer focused on Product , you will be responsible for bringing our innovative AI models from concept to production. Your core responsibilities will include :
- End-to-End Pipeline Development : Build complete data and model pipelines—from sourcing, augmenting, and validating datasets to standing up training / fine-tuning / evaluation flows and shipping models that meet product requirements.
- Rigorous Evaluation : Design and implement robust evaluation frameworks, including statistical testing and reliability checks, to verify task competence and alignment.
- Scaling & Optimization : Scale training and inference by making effective use of distributed compute, optimizing throughput / latency, and identifying opportunities for algorithmic or systems-level speedups.
- Post-Training Model Improvement : Apply methods like Supervised Fine-Tuning (SFT) and preference-based or reinforcement learning to enhance model helpfulness, safety, and reasoning.
- Model Specialization : Optimize and specialize models using compression techniques to meet performance and footprint targets.
- Cross-Functional Collaboration : Partner closely with ML engineers, researchers, and software engineers on data curation, evaluation design, training runs, model serving, and observability.
- Code Excellence : Contribute to our shared codebase by writing clean, well-tested Python ; documenting decisions; and upholding high engineering standards.
What You'll Bring :
A Bachelor's degree in Computer Science, Math, Physics, Data Science, Operations Research, or a related field.Strong programming skills in Python and fluency with the modern ML stack (e.g., PyTorch ), data tooling ( NumPy / Pandas ), and basic software practices (git, unit tests, CI).Solid grounding in language modelling concepts around training, evaluation, model architecture, and data.Comfort working with datasets at scale : collection, cleaning, filtering, labelling / annotation strategies, and quality controls.Experience using GPU resources and familiarity with containerized workflows ( Docker ) and job schedulers or cloud orchestration.The ability to read research papers, prototype ideas quickly, and translate them into reproducible, production-ready code .Clear, pragmatic communication skills and a highly collaborative mindset .Apply today and help us define the future of Artificial Intelligence!
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