20 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
11h
MLOps Engineer - Song
Accenture —Gijón, Asturias provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- AWS
- Machine learning
- Reparto de beneficios empresariales
- Seguro médico privado
7d
Data Engineering Internship
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
7h
Senior ML Engineer – Scientific & Engineering Data
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Doctorado
- Máster
- C++
Machine Learning Engineer (LLM)
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- Español
- Doctorado
- Informática
Solicitud rápida
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
6d
Staff ML Engineer
Factorial —Barcelona, Barcelona provincia
- De 77.000 € a 92.000 € al año
- Informática
- Ventas
- Inglés
Solicitud rápida
4d
Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito
5d
Data Scientist / Machine Learning Engineer Senior
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- SQL
Data Scientist & AI - Senior Level
Moffatt & Nichol —Valencia, Valencia provincia
- Jornada completa
- Azure
- Oficina
- Machine learning
Solicitud rápida
Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, S.L. UNIPERSONAL. —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito
5d
Senior Machine Learning Engineer
BizAway —Barcelona, Barcelona provincia
- Horas extra
- Teletrabajo
- Doctorado
- Informática
- Máster
- Teletrabajo opcional
8d
ML Engineer
eDreams ODIGEO —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Oficina
Senior Backend Engineer (Data)
Parser Limited —En remoto
- Jornada completa
- Trabajo híbrido
- Microsoft Access
- Informática
- SQL
- Teletrabajo opcional
Solicitud rápida
Senior MLOps Engineer
Amaris Consulting —Plegamans, Barcelona provincia
- Trabajo híbrido
- Español
- Azure
- DevOps
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
11d
Senior MLOps Engineer
IDT —Barcelona, Barcelona provincia
- Trabajo híbrido
- DevOps
- Inglés
- Machine learning
- Programa de recomendación
Solicitud rápida
Technical Lead - Advanced Analytics & MLOps (m/f/d)
ZF —Barcelona, Barcelona provincia
- Español
- Azure
- DevOps
Senior Machine Learning Engineer
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- SQL
Machine Learning Engineer
Electronic Arts —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- AWS
- Vacaciones pagadas
Data Science & AI Training Specialist or AI Skills Lead
eDreams ODIGEO —Madrid, Madrid provincia
- Doctorado
- Informática
- Oficina

Quiero recibir la alerta de empleo más reciente de data science/mlops engineer

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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

Hace 11 horas

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

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