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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.
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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
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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
????? ??????: 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
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Full tuition coverage for a Master's degree in Computer or Data
4-6 hours/day of apprenticeship at a partner company
Monthly student allowance
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.
#J-*****-Ljbffr

📌 Machine Learning Engineer (Barcelona)
🏢 Harbour.Space
📍 Barcelona