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

Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- Azure
- DevOps
- Inglés
2d
ML Engineer
eDreams ODIGEO —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Inglés
- Oficina
Senior MLOps Engineer
Amaris Consulting —Plegamans, Barcelona provincia
- Trabajo híbrido
- Español
- Azure
- DevOps
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
13d
Senior Data Science Engineer
N-iX —En remoto
- Teletrabajo
- Sistemas ERP
- Inglés
- SQL
Solicitud rápida
7d
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
7d
Senior MLOps Engineer
IDT —Barcelona, Barcelona provincia
- Trabajo híbrido
- DevOps
- Inglés
- Machine learning
- Programa de recomendación
Solicitud rápida
Senior Artificial Intelligence/Machine Learning Engineer
Ciklum —En remoto
- Jornada completa
- Teletrabajo
- Microsoft Excel
- DevOps
- SQL
Machine Learning Engineer
Electronic Arts —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- AWS
- Vacaciones pagadas
Senior Machine Learning Engineer
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Excel
- Informática
- SQL
Data Engineer
Prima —En remoto
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Science & Engineering Analyst
Zurich Insurance —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Informática
- Inglés
- Seguro médico privado
- Seguro de vida
1d
Senior MLOps Engineer
Appodeal —Barcelona, Barcelona provincia
- DevOps
- Inglés
- Oficina
Solicitud rápida
AI Platform Engineer
Neoris —En remoto
- Teletrabajo
- Doctorado
- Informática
- Inglés
Software Engineer (MLOps, AI)
Siemens Energy —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Informática
- DevOps
Data Scientist / Machine Learning Engineer Senior
Serviguide BPO —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- SQL
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
11h
Data Science / Machine Learning graduate
Symrise —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
- DevOps
- Seguro de vida
Solicitud rápida
Technical Lead - Advanced Analytics & MLOps (m/f/d)
ZF —Barcelona, Barcelona provincia
- Español
- Azure
- DevOps
AI Engineer
Sanofi —Barcelona, Barcelona provincia
- Trabajo híbrido
- Informática
- DevOps
- Máster
1d
Data Scientist
Sicpa —Madrid, Madrid provincia
- Informática
- Máster
- SQL

Quiero recibir la alerta de empleo más reciente de 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 2 días

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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