Top Artificial Intelligence Jobs in Madrid

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

Design user flows and conversational interfaces for better usability. Collaborate with developers, maintain design files in Figma, and support UX research and testing.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

Join Leadtech as a Senior AI Full Stack Developer to build and scale an innovative platform utilizing AI agents. You'll develop features across a modern tech stack, manage user authentication, and integrate with various APIs.

The AI Training Specialist will design and deliver training programs to help employees adopt AI tools, adapting sessions for various audiences, and creating engaging learning experiences.

You will lead AI/ML projects, develop end-to-end solutions, mentor peers, and drive sales strategies while collaborating with multidisciplinary teams.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

The Senior AI Automation Engineer will develop scalable automation systems, integrate developer tools, and enhance engineering productivity through AI-driven workflows and metrics delivery.

Develop and optimize GPU and CPU accelerated data processing software libraries, focusing on performance tuning and algorithm development while leading a team.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

As a Senior Director, you'll lead AI platforms research, provide insights to clients, present at events, and collaborate across teams.

As a Senior AI Engineer, you will develop AI-based features for workflow automation, collaborate across teams, and drive innovations with LLMs and prompt engineering.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Wizeline seeks a Staff Full-stack Software Engineer with expertise in TypeScript and React, focusing on AI integration and tools optimization to enhance workflows.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

The AI Engineer will implement AI features, fine-tune models, and research to drive product innovation in a startup environment.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Lead research in AI/ML-enhanced simulation tools for human experience, design algorithms, engage with industry partners, and publish findings.