If you are passionate about building and scaling machine learning solutions in real-world products, and you’re excited about applying AI to improve learning experiences, keep reading. Our client is a growing international technology company that develops software solutions integrated into major learning platforms (LMS) and used by millions of users worldwide.

This is a great opportunity to join them as a Senior Machine Learning Engineer and contribute to the evolution of intelligent features within their product ecosystem.

WHAT WILL YOU DO?

- Design, develop, and maintain machine learning models integrated into products used in educational and LMS environments.
- Maintain and improve existing ML-based solutions, while designing and implementing new ones aligned with product and user needs.
- Develop, train, and evaluate deep learning algorithms to enhance user experience, content interaction, and learning outcomes.
- Collaborate closely with Product and Engineering teams to understand user behavior and business requirements, translating them into scalable ML solutions.
- Define and implement metrics to measure the performance and impact of ML features in real product usage.
- Contribute to the deployment of models into production and monitor their performance in real-world environments.
- Run experiments and iterate on models to continuously improve accuracy, performance, and user impact.
- Document progress and communicate results clearly to both technical and non-technical stakeholders.

WHAT WILL MAKE YOU SUCCEED IN THIS POSITION?

- Bachelor’s or Master’s degree in Engineer, Mathematics, Data Science, or a related field.
- 5+ years of experience in Machine Learning,



Data Science, or similar roles.
- Experience working with machine learning solutions in production environments (beyond research).
- Strong ability to connect machine learning solutions with real user and product impact.
- Experience collaborating in product-driven environments, ideally with cross-functional teams.
- Fluency in Spanish and English.

TECHNICAL SKILLS

- Strong experience with deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar.
- Solid Python programming skills, with experience building and maintaining ML pipelines.
- Understanding of RESTful APIs and integration of ML models into software products.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience or exposure to model deployment and monitoring in production environments.

SOFT SKILLS

- Strong analytical and problem-solving mindset.
- Curiosity and interest in applying machine learning to real-world user problems.
- Ability to communicate complex ideas clearly across technical and non-technical teams.
- Proactive attitude and ownership of end-to-end solutions.
- Collaborative mindset, working effectively across Product and Engineering teams.

NICE TO HAVE

- Experience working with LMS platforms or educational technologies.
- Experience in NLP, symbolic systems, or structured data (especially math-related).
- Exposure to MLOps practices.
- Familiarity with Agile methodologies.

WHAT DO WE OFFER YOU?

- Competitive salary aligned with experience.
- Adaptable working hours and hybrid work environment.
- Learning and development opportunities.
- International and collaborative work environment.

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📌 Senior Machine Learning Engineer (Barcelona)
🏢 Talent
📍 Barcelona