17 publicaciones de empleo destacadas en data science/mlops engineer (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
14d
MLOps Engineer
Booksy —España
- Teletrabajo
- Inglés
- Máster
- SQL
- Seguro de vida
- Plan de pensiones
Solicitud rápida
9d
Principal / Staff Software Engineer - Backend, MLOps and Cloud Infrastructure
Nacre Capital —España
- Jornada completa
- Teletrabajo
- Informática
- DevOps
- Máster
Solicitud rápida
5d
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
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
14d
Senior ML Computer Vision Engineer
N-iX —En remoto
- Media jornada
- Teletrabajo
- Azure
- Doctorado
- Informática
Solicitud rápida
13d
Data Science & Engineering Analyst
Zurich Insurance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Informática
- Inglés
- Seguro médico privado
- Seguro de vida
14d
Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
6d
AI Solution Architect & Computer Vision Expert
Nutslink AI Automation —Zaragoza, Zaragoza provincia
- 80.000 € al año
- Azure
- Doctorado
- Informática
- Seguro médico privado
- Seguro dental
Solicitud rápida
13d
Data Scientist
Capgemini —Madrid, Madrid provincia
- Informática
- Inglés
- Máster
1d
Principal AI&ML Scientist – Evinova
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- Máster
5d
AI Engineer
Sanofi —Barcelona, Barcelona provincia
- Trabajo híbrido
- Informática
- DevOps
- Máster
14d
Expert Consultant, Coro, AI Engineer
Bain & Co. —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Informática
- Seguro dental
- Vacaciones pagadas
Solicitud rápida
13d
Senior Big Data Engineer
Eurasia Trips Technology —Barcelona, Barcelona provincia
- 64.000 € al año
- Azure
- Informática
- Java
- Seguro médico privado
- Seguro dental
Solicitud rápida
14d
Machine Learning Engineer III
Expedia —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- AWS
- Seguro dental
- Vacaciones pagadas
6d
Manager/Senior Manager Data Scientist - AI Governance
BBVA —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Project management
5d

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Data Engineering Internship
TomTom —Madrid, Madrid provincia
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources…
Solicitud rápida
14d
Software Engineering Intern, SWR
Qorvo —Barcelona, Barcelona provincia
We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets – we are a place to innovate and shape the future of…

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Data Science cum MLOps, Madrid (on-site) – International Client

The White Team -
Tres Cantos, Madrid provincia

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Detalles del empleo

Cualificaciones

TensorFlow
CI/CD
Azure
DevOps
Git
Inglés
Programación orientada a objetos
Machine learning
Scrum
Escalabilidad
Cloud
Python

Descripción completa del empleo

Data Science cum MLOps, Madrid (on-site) – International Client

Job role: Data Science cum MLOps.

Minimum experience: 6 to 8 years.

Studies required: Graduate.

Language: English (C1) (Mandatory).

Location: Madrid (on-site).

DESCRIPTION:

We are looking for a Data Science & MLOps Engineer to join our Advanced Analytics & AI team. This role focuses on designing, developing, and deploying scalable machine learning and Generative AI solutions within an Azure-based ecosystem.

You will collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end ML pipelines and production-ready AI models. The role requires a strong balance between data science expertise and MLOps practices, ensuring robust, scalable, and maintainable solutions.

The position involves working in Agile/DevOps environments and contributing to innovation initiatives that leverage emerging technologies such as GenAI and cloud platforms (Databricks, Azure).

Tasks:

Design, develop, and deploy machine learning and Generative AI models for advanced analytics use cases.
Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
Collaborate closely with data scientists, data engineers, and analysts to deliver scalable AI solutions.
Implement and manage MLOps best practices, ensuring model reproducibility, monitoring, and lifecycle management.
Optimize models for performance and scalability in production environments.
Work with tools such as MLflow, Azure Machine Learning, and Azure DevOps for pipeline orchestration and CI/CD.
Drive innovation by expanding AI use cases using emerging technologies such as Generative AI.
Communicate complex analytical concepts to non-technical stakeholders and guide decision-making.
Participate in Agile/Scrum teams, contributing to continuous delivery and iterative product development.
Stay updated on industry trends in AI, MLOps, cloud computing, and data platforms.

Specific Expertise:

Experience: 6–8 years in Machine Learning Engineering or Applied ML, with strong exposure to MLOps.
Programming: Advanced proficiency in Python (OOP) and PySpark.
ML Frameworks: Hands-on experience with Scikit-learn, TensorFlow, or PyTorch.
Cloud & Platforms: Strong experience with Azure Cloud and Databricks.
MLOps & Pipelines: Expertise in building ML pipelines using MLflow, Azure ML, and CI/CD tools (Azure DevOps).
Data & Modeling: Strong knowledge of data preprocessing, feature engineering, model optimization, and evaluation techniques (cross-validation, A/B testing).
Version Control: Experience with Git and collaborative development practices.

Nice to Have:

Knowledge of Generative AI frameworks (e.g., LangChain).
Familiarity with vector databases.
Experience with model monitoring and logging in production.
Understanding of data governance and compliance.
Relevant Databricks or Azure certifications.

Language:

English (C1).

Location:

Madrid (on site).

Rate:

285-304 €/day.

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Refina tu búsqueda

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Data Science cum MLOps, Madrid (on-site) – International Client

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MLOps Engineer

Principal / Staff Software Engineer - Backend, MLOps and Cloud Infrastructure

Sr. Machine Learning Engineer

Head of AI & Bio-Data Science

Senior ML Computer Vision Engineer

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Machine Learning Ops and Data Engineer

AI Solution Architect & Computer Vision Expert

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Principal AI&ML Scientist – Evinova

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Expert Consultant, Coro, AI Engineer

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Machine Learning Engineer III

Manager/Senior Manager Data Scientist - AI Governance

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