Top Artificial Intelligence Jobs in Spain

Lead the strategic development and implementation of AI technologies across Wealth Management and Insurance, driving digital transformation through advanced AI solutions while ensuring compliance with ethical guidelines.

The ML/AI Engineer will develop and implement AI and ML solutions, optimize models, and collaborate across teams to meet business needs.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

As an AI Solution Architect, you will drive the adoption of AI solutions, guide product implementation, support sales efforts, and ensure customer success while integrating GenAI technologies into client operations.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Design, prototype, and deploy deep learning and NLP/LLM solutions for personalized learning; collaborate with product and engineering teams; mentor junior scientists; drive research to production and define ML best practices.

Design, prototype, and deploy state-of-the-art multimodal neural search and ranking deep learning models for personalized learning; collaborate with product and engineering, mentor junior scientists, and establish ML best practices and production pipelines.

Lead development and deployment of deep learning, NLP, and multimodal AI models for personalized learning and AI tutors. Drive research, prototype solutions, collaborate with product and engineering teams, and mentor junior scientists while ensuring scalable production pipelines and ML best practices.

We are seeking a Senior ML/AI Engineer to build secure, scalable systems and deploy applications using machine learning, specifically in LLM. Responsibilities include architecting multi-agent systems, building data processing pipelines, and collaborating with teams.

The role includes leading the design and development of scalable web applications using React and TypeScript, collaborating with AI teams to integrate intelligent features, mentoring engineers, and ensuring code quality and performance optimization.

As a Lead Full Stack Engineer, you will drive the technical strategy and development of our SaaS insurance platform while mentoring engineers and overseeing AI integration.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Product Manager leads the development of AI-centric software products by coordinating between users and engineering teams, managing the product backlog, defining KPIs, and ensuring technical feasibility of features, all while enhancing user and developer experience.

The Product Line Manager will lead the vision and strategy for Data and AI platforms, oversee product lifecycle management, and drive adoption across technical teams, ensuring products meet user needs and deliver measurable business outcomes.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

The role involves developing AI automation modules, integrating APIs, and deploying AI agents for marketing, operations, and patient engagement.

The Product Owner will lead the AI agent ecosystem's design and delivery, focusing on scalable operations, governance, and strategic product vision aligning with enterprise priorities.