We are looking for a Machine Learning Engineer / AI Engineer to join an international team working on Machine Learning, NLP and Generative AI solutions .

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You will be part of a small squad of 5–6 people working across different AI projects, including solutions such as GenAI-powered assistants and chatbots .

This is a highly hands-on role: more than 90% of your time will be focused on coding, developing ML solutions and designing technical solutions , working closely with other Machine Learning and Engineering profiles.

We are looking for someone with a strong Python and Machine Learning engineering background , ideally with experience taking AI/ML solutions into production.

What you'll do

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- Develop and implement Machine Learning and AI solutions using Python .

- Work on NLP, Generative AI and/or LLM-based projects .

- Design and develop ML solutions from experimentation through to production.

- Work with data processing and ML libraries such as pandas, scikit-learn and PyTorch .

- Evaluate ML models and systems using appropriate performance metrics.

- Contribute to production-ready code following Git, Pull Request and code review practices .

- Collaborate with Machine Learning Engineers and other technical profiles to move models and solutions into production.

- Participate in the design of technical solutions and end-to-end ML pipelines.

- Explore and evaluate new approaches and technologies in AI/ML.

- Work in an international environment where English is the main language of communication.

Must Have

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- 3–5 years of professional experience in Machine Learning, AI Engineering, Data Science or Software Engineering with a recent transition into AI/ML.

- Strong Python programming skills and experience developing structured, maintainable code.

- Hands‑on experience with Machine Learning models and libraries , such as scikit‑learn, PyTorch or similar.





- Experience working with NLP, Generative AI or LLM technologies .

- Experience developing production‑ready ML/AI solutions or working closely with teams responsible for productionizing models.

- Understanding of ML concepts such as model training, evaluation, data augmentation, bias and training pipelines .

- Experience working with Git and collaborative development practices , such as Pull Requests and code reviews.

- Strong understanding of ML evaluation metrics beyond accuracy.

- Advanced English (C1/C2) and strong communication skills.

Hybrid model Barcelona 2 days per week in the office

Why join this project?

People first – diverse and inclusive culture in an international environment .

Work on high‑impact Data & Insights initiatives across business performance , operations , finance , and commercial domains .

Help shape how data supports strategic decision‑making across a large international organisation .

Explore the evolution of AI‑driven analytics , productivity tools , and data discoverability .

Contribute to self‑service analytics , data products , and scalable reporting practices .

Work closely with business and senior stakeholders , turning complex data into meaningful insights .

High team stability and collaborative culture .

€1200 per year training budget and continuous learning opportunities .

Private health insurance and benefits package .

Adaptable working hours and hybrid model .

Wellhub : fitness, wellness, and mental health support.

Football and paddle tennis teams sponsored by Capitole .

Team buildings , global events , and strong tech communities .

We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you.

Information Security Notice

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- The employee will have access to confidential information related to Capitole and the assigned project. xqbhyrx

- Compliance with internal security and information protection policies is mandatory.

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📌 Machine Learning Engineer / AI Engineer (Barcelona)
🏢 Capitole
📍 Barcelona