Harbour.Space Institute of Technology is excited to offer a fully-funded Work & Study Scholarship to students interested in pursuing a Master's degree in Computer or Data Science at its Barcelona campus.

This programme is an excellent opportunity to gain knowledge and industry experience at the same time, practicing what you are learning from day one. Alongside their studies, students do apprenticeship as Machine Learning Engineers with one of Harbour.Space's industry partners, applying new concepts to machine learning problems from real products.

Students study 3 hours a day and spend the rest of their working time on an apprenticeship. Selected candidates are matched with an industry partner for the apprenticeship, so what they learn in class feeds directly into their practical work. Harbour.Space is seeking experienced candidates who want to deepen their expertise in machine learning engineering, while advancing their academic and professional growth.

Core Qualifications

- 3+ years of professional experience in machine learning engineering or applied AI
- Olympiad participation with high achievements (e.g. IOI, ICPC, IOAI)
- Strong Python proficiency
- Hands-on experience building, training and deploying ML models in real product environments
- Solid understanding of the full ML lifecycle: data pipelines, feature engineering, model training, evaluation and deployment
- Experience with at least one of: computer vision, NLP, recommendation systems, generative AI or large-scale data pipelines
- Proficiency with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with big data tools: Spark, HDFS, Kafka or similar




- Comfortable working in cross-functional teams alongside software engineers and product managers
- Fluent English

Nice to Have

- Experience with LLMs, generative AI or multimodal models
- MLOps experience: model versioning, monitoring and deployment pipelines
- Cloud deployment experience (AWS SageMaker, GCP Vertex AI, Azure ML)
- Contributions to open source ML projects or published work on Hugging Face, Kaggle or similar

What You'll Be Working On

- Building, training and deploying ML models that ship to real users in production
- Designing and maintaining end-to-end ML pipelines, from raw data ingestion to model serving
- Implementing and optimising feature engineering, model selection and classifier performance
- Analysing large datasets to surface patterns and translate findings into product or technical decisions
- Collaborating with engineering and product teams to integrate ML capabilities into the core product
- Iterating on model performance using real user data and production feedback loops
- Communicating technical findings clearly to technical and non-technical stakeholders

Apprenticeship Summary

- Full tuition coverage for a Master's degree in Computer or Data Science at Harbour.Space
- 4-6 hours/day of apprenticeship at a partner company
- Monthly student allowance

Candidate's Commitment

- Study Commitment: 3 hours a day. You will complete 14 modules (each three weeks long) in one year. Daily class workload is 3 hours, plus homework to complete in your own time.
- Work Commitment: 4-6 hours a day. Immerse yourself in the professional world during your apprenticeship, learn from the best, and apply your newly acquired knowledge in the field from day one.

📌 Machine Learning Engineer (Work & Study Programme) (Barcelona)
🏢 Harbour.Space
📍 Barcelona