Top Machine Learning Jobs in Barcelona

Lead the ML platform strategy and development, manage teams, drive MLOps adoption, and influence stakeholders in a global organization.

Lead the Core & MLOps Squad at Zyte, managing technical leadership, team management, and MLOps excellence to design scalable infrastructure for services.

The Senior Product Analyst will measure user behavior, enhance user flows on a travel website, and collaborate with UX/UI and development teams to optimize forms and conversions using AI techniques.

The Data Scientist/ML Engineer will analyze data, develop data science solutions, and collaborate with teams to enhance ad effectiveness while optimizing machine learning models.

As a Lead Machine Learning Engineer, you will oversee complex projects, mentor teams, drive ML practices, and shape technical strategy.

Responsible for the end-to-end lifecycle of ML solutions focusing on API development and full-stack engineering, utilizing advanced ML libraries and LLMs.

The AI/ML Lead will design and implement ML models, build GenAI solutions, mentor teams, and collaborate on strategic AI/ML initiatives.

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

Develop and maintain ML/AI services and APIs, improve existing systems, mentor team members, and ensure production-grade solutions are efficient and scalable.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

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 Machine Learning Specialist will build production systems using LLMs, develop backend services in Python, and analyze user feedback for model improvement.

As a Senior AI/ML Engineer, you'll develop and deploy AI solutions, build ML pipelines, and optimize models for production within an agile team.

The Senior Machine Learning Engineer will design and implement ML pipelines, automate the ML lifecycle, build distributed systems, and collaborate with cross-functional teams to enhance the Fever platform.

As a Machine Learning Research Intern, you will enhance data processing pipelines, improve search capabilities, and optimize AI models, while conducting experiments and literature reviews, ultimately deploying your research to benefit users.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Design and deploy machine learning models and AI applications, ensuring scalability and efficiency, while maintaining clean ML code and promoting best practices in MLOps.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

Design and maintain ML systems at Preply, ensuring reliability and performance. Collaborate with teams to optimize ML operations from training to deployment.

Lead the design and evolution of Preply's ML platform, implementing solutions for model deployment and overseeing cloud-based systems and CI/CD processes.

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.

Design and deploy LLM applications for payroll, lead architecture decisions, and collaborate with teams. Requires AI/ML experience.

Lead a team of engineers in developing ML solutions, focusing on LLMs and AWS cloud services, while managing projects and fostering team growth.