20 publicaciones de empleo destacadas de machine learning engineer en madrid provincia (¡Están contratando!)

Senior Machine Learning Engineer
EPAM Systems, Inc. —Moncloa-Madrid, Madrid provincia
- Informática
- DevOps
- Oficina
- Vacaciones pagadas
- Programa de recomendación
QA Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- Español
- Oracle
- Inglés
Specialist IoT Cloud Engineer Lead
Vodafone —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- DevOps
- Máster
- Seguro de vida
- Plan de pensiones
Applied Scientist on Artificial Intelligence and Optimization, EU LTP Science (OCTPS)
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
11d
Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Lead AI Engineer (Agentic Systems)
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Informática
AI-Enhanced Penetration Tester
AXA —Madrid, Madrid provincia
- Azure
- Sistema operativo Windows
- AWS
Data Engineer
ThetaRay —Madrid, Madrid provincia
- Español
- Informática
- Inglés
Data Scientist, Parameta Solutions (Madrid)
TP ICAP —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Informática
- Oficina
3d
Azure Data Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
AI Software Engineering Analyst
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
5d
Data Scientist - Fintech
Ebury —Madrid, Madrid provincia
- CRM software
- Español
- Ventas
Solicitud rápida
4d
Management & Technology Consultant - Supply Chain
Celonis —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Oracle
- Informática
- Vacaciones pagadas
AI Platform Engineer (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Manager Data Science
Solera —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Machine learning
- Python
Backend Engineer (AI Integration) 100% (f/m/d)
Julius Baer —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
10d
Data Science cum MLOps, Madrid (on-site) – International Client
The White Team —Tres Cantos, Madrid provincia
- De 285 € a 304 € al día
- Azure
- DevOps
- Inglés
Google AI Engineer Martech
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés

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Senior Machine Learning Engineer

EPAM Systems, Inc. -
Moncloa-Madrid, Madrid provincia

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Detalles del empleo

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

TensorFlow
Informática
DevOps
Máster
Grado
Machine learning
Deep learning
Desarrollo de software
Agile
Cloud
Unit testing
Python
Debugging

Descripción completa del empleo

We're looking for a Senior ML Engineer to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design, build, and deploy scalable machine learning and AI solutions that power next-generation digital capabilities within a leading global financial institution. You will work across the full lifecycle – from concept and prototyping to production – in an agile and DevOps-oriented environment, collaborating with multi-disciplinary teams to deliver robust, business-critical AI systems.

If you are passionate about Large Language Models, multi-agent workflows, and advanced ML engineering practices, this is an opportunity to shape AI-driven innovation within one of the world’s most renowned wealth management organizations.

Responsibilities

Design, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges
Build and integrate multi-agent systems and enable AI models with function/tool calling capabilities
Design and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data
Integrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability
Optimize agentic workflows for production use cases while ensuring safety and accuracy
Evaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration
Collaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems
Conduct code reviews, unit testing, and debugging to guarantee quality and maintainability
Ensure compliance with software development best practices across version control, testing, and documentation

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
Proven experience as a Machine Learning Engineer or similar role in AI solution development
Strong programming skills in Python, experience with ML libraries and deep learning frameworks (TensorFlow or PyTorch)
Practical experience implementing and deploying LLMs and related orchestration frameworks
Knowledge of agentic workflows, multi-agent systems, and advanced reasoning patterns
Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
Deep familiarity with relevant mathematical and statistical concepts (probability, linear algebra, optimization)
Experience implementing MLOps practices and working in DevOps-based environments
Excellent problem-solving, debugging, and optimization skills
Strong communication and ability to collaborate with cross-functional teams in an agile environment

Nice to have

Experience designing RAG systems for enterprise-scale use
Prior exposure to AI governance, security, or compliance in financial services
Familiarity with cloud infrastructures and containerized ML deployments using Kubernetes
Proven track record of enabling AI-driven applications in production environments

We offer

Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

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Refina tu búsqueda

machine learning engineer empleos en madrid provincia

Senior Machine Learning Engineer

QA Engineer (Hybrid)

Specialist IoT Cloud Engineer Lead

Applied Scientist on Artificial Intelligence and Optimization, EU LTP Science (OCTPS)

Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery

Applied Scientist, EU INTech Consumer Selection Discovery, NintAI

Lead AI Engineer (Agentic Systems)

AI-Enhanced Penetration Tester

Data Engineer

Data Scientist, Parameta Solutions (Madrid)

Azure Data Platform Engineer

AI Software Engineering Analyst

Data Scientist - Fintech

Management & Technology Consultant - Supply Chain

AI Platform Engineer (m/f/d)

AI Manager Technology Advisor

Senior Manager Data Science

Backend Engineer (AI Integration) 100% (f/m/d)

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

Google AI Engineer Martech

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