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 .

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 ,

integral 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

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.

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