20 publicaciones de empleo destacadas de learning / mlops en madrid, md (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
AI Engineer, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Azure
- Máster
- Machine learning
6d
TRE26-ECS-080 - Arquitecta/o de IA y MLOps
INECO —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Formación continua
3d
Senior Data Scientist (m/f/x)
GRID eSports GmbH —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Investigación
- Grado
- Machine learning
Solicitud rápida
1h
Desarrollador senior IA Generativa - LLM y Machine Learning
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
- Reparto de beneficios empresariales
- Seguro médico privado
28281 - Consultor/a técnico IA - Arquitectura y Soluciones
INECO —Madrid, Madrid provincia
- Máster
- Grado
- Machine learning
- Formación continua
Deputy lead of Artificial Intelligence
Minsait —Madrid, Madrid provincia
- Trabajo híbrido
- Machine learning
- Gestión de equipo
- Inteligencia artificial
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Agentic AI Engineer (Agents & LLM Systems) - Remoto
eXperience IT Solutions —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- Inglés
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Python Developer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Vacaciones pagadas
- Programa de recomendación
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Data Scientist
Fujitsu —Madrid, Madrid provincia
- Azure
- Inglés
- Máster
1d
Senior Solutions Architect (Data & AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- APIs
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
AI Assurance and Trustworthiness Expert
Minsait —Madrid, Madrid provincia
- Doctorado
- Informática
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Senior AI Architect
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Máster
- Machine learning
Tech Lead ML/AI Engineering
Glintt Global —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
Solicitud rápida
AI Engineer (Full Remote)
Everfield —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Senior AI/ML Engineer - Document Intelligence - Híbrido Madrid o Málaga
Kenos Technology —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Bases de datos
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
11d
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps

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

The White Team -
Tres Cantos, Madrid provincia

Solicitar ahora

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.

Solicitar ahora

Refina tu búsqueda

learning / mlops empleos en madrid, md

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

AI Engineer, Madrid (M, ES)

TRE26-ECS-080 - Arquitecta/o de IA y MLOps

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Desarrollador senior IA Generativa - LLM y Machine Learning

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Senior Solutions Architect (Data & AI)

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Director, Data Engineering (Capital Markets)

Quiero recibir la alerta de empleo más reciente de learning / mlops en madrid, md

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