Top Artificial Intelligence Jobs in Madrid

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

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.

Lead AI & Commerce Foundations for a B2B e-commerce platform: define AI strategy, own core platform architecture (auth, APIs, payments), integrate LLM capabilities, prioritize partner-facing features, run zero-to-one product development, and coordinate engineers, data scientists, and partner success to ship and iterate on AI-driven partner solutions.

Lead AI strategy and roadmap for Observability, embedding LLMs, RAG, vector search, and ML into log analytics, incident investigation, and SRE workflows. Partner with engineering, UX, sales, and customers to deliver AI-driven features, validate solutions, and drive adoption.

Design and implement computer vision and machine learning algorithms from POC to prototype, build training pipelines and testing, run experiments, document results, lead research, and assist recruiting.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

As a Senior AI Engineer at eduki, you will develop AI systems for business automation, integrate them with internal tools, establish data protocols, and support product teams in creating AI-driven features.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Chatdesk Expert, you'll provide customer support through social media and email, ensuring great experiences, flexible schedules, and work from anywhere.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

Lead architecture and design of cross-team AI systems, define engineering and operational best practices, ensure reliability and scalability, drive LLM and AWS-based solutions, mentor engineers, and represent technical expertise in hiring and community events.

Lead a team to develop large-scale AI systems, focusing on Generative AI and LLM initiatives, while managing projects from inception to delivery.

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.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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.