Top Machine Learning Jobs in Spain

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

The role involves applying bioinformatics tools and systems biology to biomedical research, managing projects, and ensuring client satisfaction.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the development of AI-powered identity verification solutions, overseeing product strategy, collaboration across teams, and ensuring customer satisfaction.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Join the Fintech team as a Senior Fraud Analyst, focusing on fraud prevention strategies and data analysis to improve profitability and streamline controls.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

Lead the development and architecture of lending products, mentor engineers, drive best practices, and improve infrastructure and CI/CD processes.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Lead and mentor high-performing engineering teams to develop scalable, low-latency systems for real-time decision-making in payment processing.

Oversee and manage the development and deployment of AI solutions, focusing on LLMs and AWS Cloud services while leading a team of engineers.

As a Senior MLOps Engineer, you will architect and implement MLOps pipelines and tools to enhance fraud detection and regulatory compliance.

The Associate/Senior Editor will manage manuscripts related to photovoltaic technologies, collaborate with editors, and make editorial decisions while engaging with the scientific community.

Lead the development of AI-driven personalized learning solutions, applying deep learning and NLP while mentoring junior scientists to enhance learning experiences.

The Senior Product Analyst will analyze user behavior, optimize interactive forms, and collaborate with teams to enhance user experience on a travel website using data-driven insights.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Product Manager will lead the strategy for matching algorithms, oversee their lifecycle, and collaborate with various teams to meet market needs.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Lead the design and development of AI systems for scene understanding, mentor engineers, and align technology solutions with business goals.

Interns will build and deploy data processing pipelines, collaborate with clients, engage in R&D for product innovation, and support the sales team.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.