20 publicaciones de empleo destacadas de machine learning engineer en las rozas de madrid, md (¡Están contratando!)

Applied Scientist Intern
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Investigación
- Máster
Solicitud rápida
Principal Data Scientist (Machine Learning & AI)
SBS —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- Machine learning
- Seguro dental
- Plan de pensiones
Solicitud rápida
QA Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- Español
- Oracle
- Inglés
Cybersecurity Engineer for Network Security AI
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- AWS
Modelling and Simulation Engineer
Minsait —Madrid, Madrid provincia
- Trabajo híbrido
- Inglés
- Java
- Machine learning
14d
Head of AI & Bio-Data Science
Myzelence BioTech Analytics —Madrid, Madrid provincia
- 82.000 € al año
- Español
- Doctorado
- Informática
- Seguro médico privado
- Seguro dental
Solicitud rápida
AI Principal Engineer
NielsenIQ —Madrid, Madrid provincia
- De 55.300 € a 78.800 € al año
- Jornada completa
- Trabajo híbrido
- CRM software
- Azure
- Sistemas ERP
Solicitud rápida
Solutions Engineer
Ultralytics —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Ventas
- Machine learning
- Linux
Machine Learning Engineer, Amazon Tablets
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- AWS
Associate AI Engineer (6-month contract)
Board International —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Sistemas ERP
Solicitud rápida
R&D Engineering, Staff Engineer
Synopsys —Madrid, Madrid provincia
- Doctorado
- Informática
- DevOps
5d
Software engineer for defense projects
GMV —Tres Cantos, Madrid provincia
- Trabajo híbrido
- Java
- Machine learning
- JavaScript
- Seguro dental
Senior MLOps Engineer
Mindtech —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Machine learning
Solicitud rápida
Modelling and Simulation Engineer
Indra —Madrid, Madrid provincia
- Trabajo híbrido
- Inglés
- Java
- Machine learning
14d
Data Scientist / Machine Learning Engineer Senior
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- SQL
Innovation AI Engineer
Vodafone —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- DevOps
- Seguro de vida
- Plan de pensiones
Quantitative Data Scientist Senior Analyst – Advanced Analytics & Algorithmic Trading for FX
BBVA —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Senior MLOps Engineer Agentic Senior
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- SQL
DevOps Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- DevOps
- Sistema operativo Windows
- Machine learning
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster

Quiero recibir la alerta de empleo más reciente de machine learning engineer en las rozas de madrid, md

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Applied Scientist Intern

TomTom -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Contrato en prácticas

Cualificaciones

TensorFlow
Informática
Spark
Investigación
Máster
Machine learning
Usabilidad
NLP
Python

Descripción completa del empleo

The Applied Scientist Intern in the MAPS POIs team contributes to the research, experimentation, and development of data-driven and machine-learning solutions that enhance the accuracy, coverage, and usability of TomTom's maps and Points of Interest products. This internship gives you hands-on experience applying scientific and analytical methods to real-world problems at scale, working alongside Applied Scientists and Engineers on challenges that directly impact TomTom's products.

What you'll do:

You will work embedded in the POI team on concrete research and engineering tasks, with guidance from senior engineers/scientists. You will:

Explore and experiment with ML/AI approaches to solve POI-domain problems such as entity matching, address parsing, data quality assessment, or coverage analysis
Implement and evaluate models and algorithmic solutions on real-world, large-scale geospatial datasets
Design and run experiments, analyze results, and translate findings into clear insights, recommendations and implementation
Be part of the development of data pipelines and tooling that support model training, evaluation, and analysis
Collaborate with Applied Scientists, Engineers, and Product stakeholders to understand requirements and integrate your work into the broader team workflow
Document experiments, methodologies, and results clearly to support knowledge sharing within the team

What you'll need:

Currently enrolled in a Master's programme in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Solid grounding in machine learning fundamentals — supervised/unsupervised learning, model evaluation, feature engineering
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn (from coursework, research, or personal projects)
Programming proficiency in Python; experience with data manipulation libraries (pandas, NumPy, Spark is a plus)
Familiarity with NLP or embedding-based methods (e.g., Sentence Transformers, BERT-based models) is a strong plus
Interest in geospatial data, POI systems, addressing, or location intelligence
Analytical mindset with the ability to design experiments, interpret results critically, and communicate findings clearly
Collaborative and curious — comfortable asking questions, working iteratively, and learning from feedback

What you'll learn:

By the end of the internship you will have:

Worked on production-scale geospatial and POI data with real business impact
Gained experience in the full ML experimentation cycle - from problem framing and data analysis to model development and evaluation
Deepened your understanding of applied ML in a domain where data quality, scale, and semantic complexity are central challenges
Collaborated in a cross-functional team of scientists, engineers, and product managers

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solicitud rápida

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machine learning engineer empleos en las rozas de madrid, md

Applied Scientist Intern

Principal Data Scientist (Machine Learning & AI)

QA Engineer (Hybrid)

Cybersecurity Engineer for Network Security AI

Modelling and Simulation Engineer

Head of AI & Bio-Data Science

AI Principal Engineer

Solutions Engineer

Machine Learning Engineer, Amazon Tablets

Associate AI Engineer (6-month contract)

R&D Engineering, Staff Engineer

Software engineer for defense projects

Senior MLOps Engineer

Modelling and Simulation Engineer

Data Scientist / Machine Learning Engineer Senior

Innovation AI Engineer

Quantitative Data Scientist Senior Analyst – Advanced Analytics & Algorithmic Trading for FX

Senior MLOps Engineer Agentic Senior

DevOps Engineer (Hybrid)

AI Architect (Agentic AI)

Quiero recibir la alerta de empleo más reciente de machine learning engineer en las rozas de madrid, md

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