Top Artificial Intelligence Jobs in Barcelona

As a Privacy & AI Analyst at Perk, you will develop privacy and AI governance programs, manage operational tools, ensure compliance with regulations, and enhance privacy culture within the organization.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Senior AI Researcher will bridge product management and engineering to discover, prototype, and validate AI capabilities in Digital Experience Monitoring, focusing on scalable data processing and AI opportunities.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

Join Welo Data to evaluate German language data for AI models, focusing on search results and machine translation quality. Remote work with flexible scheduling.

Join Welo Data to assist in AI projects, contributing to language data quality through annotation and evaluation while working remotely.

Join Welo Data to help enhance AI through annotation, evaluation, and prompt creation with a focus on language data. Flexible remote work.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

Lead complex clinical studies, support clinical development plans, oversee statistical analyses, and consult on biostatistical matters while ensuring compliance with standards.

The Technical Product Manager will define product strategy for generative AI, manage product backlog, collaborate on user needs, and track KPIs.

As a Data & AI Analyst, you will develop and implement data strategies, research trends, analyze datasets, and create client presentations while collaborating with cross-functional teams.

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

Define and execute the roadmap for AI innovation in LS&H, collaborate with teams to implement solutions, and promote responsible AI practices.

Design and implement full-stack applications and AI agents. Collaborate on customer-focused solutions, lead projects, and mentor engineers in a cloud-native environment.

The role involves assisting customers with onboarding the HPE PCAI Private Cloud AI product, managing projects, providing support, and ensuring customer satisfaction through engagement and collaboration across teams.

The AI Engineer will develop software for machine learning projects, collaborating with data scientists while focusing on software development best practices and support for model building.

Design and deploy data analytics and machine learning solutions using generative AI. Collaborate with teams to implement AI-driven applications on the cloud, focusing on performance monitoring and optimization.

As an Automation and AI Engineer, you will develop and optimize Unity and backend services for automation and AI in gaming, collaborating with teams to enhance player experiences and development processes.

Lead a team of designers in creating AI-powered marketing and UI/UX designs, while managing projects, providing feedback, and developing processes.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The role involves designing and implementing low-code AI solutions, developing workflows, and improving automation for business processes across various domains.