📌 About the role
We are looking for a Machine Learning Engineer / AI Engineer to join an international team working on Machine Learning, NLP and Generative AI solutions.
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
- 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
- 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.
💰 Flexible compensation model.
🩺 Private health insurance and benefits package.
⚡ Flexible 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.
✨ Want to know more about us? Click here and discover all the details.
🔍 Curious about our culture? Check out what people are saying about us on Glassdoor.
💬 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.
👉 Ready for the challenge? Apply now!
Empowering People, Unlocking Innovation.
Information Security Notice
- The employee will have access to confidential information related to Capitole and the assigned project.
- Compliance with internal security and information protection policies is mandatory.
- NDA signature required.