20 publicaciones de empleo destacadas en machine learning / mlops (¡Están contratando!)

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
Senior ML Computer Vision Engineer
N-iX —En remoto
- Media jornada
- Teletrabajo
- Azure
- Doctorado
- Informática
Solicitud rápida
13d
TRE26-ECS-080 - Arquitecta/o de IA y MLOps
INECO —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Formación continua
2d
Advanced Specialist, Technical Architect
Pearson —Pol, Lugo provincia
- Jornada completa
- Azure
- Inglés
- Máster
Analytics Engineer
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- Inglés
- Oficina
- SQL
- Flexibilidad horaria
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
AI & Data Platform Engineer (HPC)
Izertis —Viladecans, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- Mantenimiento
- Flexibilidad horaria
12d
Senior Databricks Consulting Engineer (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
12d
Machine Learning Engineer (Teletrabajo)
Indra —España
- De guardia
- Teletrabajo
- Inglés
- Machine learning
- APIs
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Machine Learning Engineer (Teletrabajo)
Minsait —España
- De guardia
- Teletrabajo
- Inglés
- Machine learning
- APIs
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Sr. Machine Learning Engineer
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- Máster
MLOps Engineer
Booksy —España
- Teletrabajo
- Inglés
- Máster
- SQL
- Seguro de vida
- Plan de pensiones
Solicitud rápida
10d
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
AI Engineer
Grupo Lanit —España
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
- Seguro médico privado
Lead Data Scientist
Fortra, LLC —España
- Jornada completa
- Teletrabajo
- Doctorado
- Java
- C++
Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
7d
Lead Machine Learning Engineer
Adarsha Nari Tech Labs —Málaga, Málaga provincia
- 75.000 € al año
- Machine learning
- Liderazgo
- Habilidades de comunicación
- 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
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
ML Quant Engineer
GRENERGY —Pozuelo de Alarcón, Madrid provincia
- Doctorado
- Investigación
- Máster
Solicitud rápida
2d

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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

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

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

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Senior Databricks Consulting Engineer (m/f/*)

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Machine Learning Engineer (Teletrabajo)

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