Top Machine Learning Jobs in Barcelona

As a Data Scientist, you'll develop machine learning models, engage with stakeholders, and apply AI technologies to solve business problems while working collaboratively in an Agile environment.

As a Senior Product Manager for Pricing, you will define and optimize pricing strategies for B2C and B2B segments, using data analytics and collaborating across teams to drive profitability and market growth.

Lead multi-stream client programs as the primary contact, ensuring outstanding delivery and strategic alignment with business goals. Manage Engagement Managers, drive account growth, and build strong relationships with senior stakeholders.

Oversee and manage the development and deployment of AI solutions, focusing on LLMs and AWS Cloud services while leading a team of engineers.

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 Senior Data Analyst will analyze player performance, partner with ML Engineers, generate reports, and design statistical tests to improve game experiences.

The Senior Machine Learning Engineer will develop ML tools for the LiveOps Automation team, improving player experiences and guiding less experienced members.

The role involves designing and developing ML systems for game operations, ensuring performance and empowering game teams with ML capabilities.

Lead the vision and strategy for LiveOps systems, collaborate with cross-functional teams, and drive product development using data-driven decision-making.

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

Lead and grow a high-performing engineering team focused on fraud prevention systems. Collaborate across functions to enhance risk strategies and systems. Drive operational excellence and foster a culture of accountability and innovation.

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.

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

Responsible for implementing and maintaining AI chatbot applications and scalable web applications, managing Kubernetes platforms on AWS and Azure, and collaborating with stakeholders.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

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

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.

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.

Interns will develop next-generation automated design flows and tools, applying knowledge of ASIC design and CAD to optimize design metrics.

Fever seeks a Senior Data Scientist to enhance decision-making through data. The role involves project life-cycle management from ideation to production, requiring collaboration across business and engineering teams.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

The Analyst will research and provide insights on AI, ML, and Data Science, advising clients and supporting sales with high-value presentations and mentorship.

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