Top Artificial Intelligence Jobs in Spain

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Amadeus GDS Specialist will leverage GDS expertise to design AI tools, validate outputs, and ensure product accuracy in travel solutions.

The role involves leading a team of engineers in developing and deploying ML/AI solutions, focusing on LLMs on AWS, while ensuring technical execution and team growth.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Leading the AI platform strategy by driving developer experience, security, and governance while collaborating with ML engineers and data scientists to enhance AI capabilities.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

As a Senior Backend Engineer, you will optimize product flows, ensure efficient infrastructure scaling, and work on voice cloning and text-to-speech systems.

The Senior Backend Engineer will ensure efficient infrastructure for Speechify's AI team, focusing on voice cloning and text-to-speech technologies. Responsibilities include backend development, optimizing product flows, and deploying high-availability applications.

The Lead Software Engineer will design and develop AI-driven software, focusing on backend systems with Python and cloud technologies, while collaborating with cross-functional teams and guiding other engineers.

As Lead AI Architect, you will oversee the strategy and execution of AI systems, lead projects, manage data flows, mentor junior developers, and ensure the performance of AI models in production.

Lead the design, development, and maintenance of reliable backend services, including AI-driven applications. Collaborate with various teams to ensure quality solutions and contribute to architectural decisions.

Design and deliver end-to-end ML/LLM solutions, build AI agents, and collaborate closely with teams to implement scalable models and workflows.

As a Senior MLOps, you'll build and maintain data pipelines, design data storage solutions, and deploy model-serving systems, collaborating with ML Engineers for performance and quality.

Join Welo Data's talent community to work on flexible remote projects in AI data annotation, evaluation, and prompt creation.

Join Welo Data's contributor network to participate in remote AI projects such as annotation and evaluation based on your skills.

Join Welo Data's talent community to contribute to various AI projects, including annotation, evaluation, and prompt creation, while maintaining flexible work arrangements.

The Senior Product Manager will lead AI-driven initiatives, manage product roadmaps, and drive innovation in digital asset management, focusing on customer needs and market differentiation.

As a Product Manager for Retake AI, you'll drive product evolution from ideation to launch, focusing on user engagement, retention, and monetization, collaborating with various teams to create intuitive features for the AI-powered video editing app.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The Senior Infrastructure Engineer will deploy, scale, and maintain services for the ML/AI team, collaborating closely with ML Engineers and Data Scientists.