Top Machine Learning Jobs in Barcelona

The Data Scientist will design AI models using machine learning, train algorithms, deploy models to the cloud, and collaborate with teams to ensure data science solutions are effective and scalable.

Join the TES team to support Solution Engineering by delivering complex technical use cases, assisting with PoV engagements, and gaining experience with identity security and SaaS technologies.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The AWS Technical Account Manager collaborates with AWS sales and technical teams to deliver consultancy, manage projects, and identify growth opportunities while maintaining strong partner relationships and developing personal skills in AWS technologies.

The Data Scientist will develop ML models for image recognition, work on product categorization, and collaborate with engineers to deploy scalable solutions.

The Senior Product Manager will lead product initiatives, develop roadmaps, collaborate with cross-functional teams, and drive product lifecycle from ideation to launch, ensuring alignment with business goals.

As a Senior Product Data Scientist, you will analyze complex data to support product decisions, mentor junior staff, and collaborate with cross-functional teams to enhance product performance and metrics.

The Product Manager will lead the Market Intelligence team to translate digital asset data into actionable insights, drive product strategy, conduct market studies, and enhance Keyrock's services based on data-driven recommendations.

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

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

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

The Senior Product Manager will lead pricing capabilities evolution at LS&Co, integrating decision-making tools with machine learning for data-informed choices. Responsibilities include product vision creation, backlog management, user research, and stakeholder communication.

The Ad Ops Manager will execute, optimize, and scale mobile advertising campaigns while collaborating with sales and engineering teams to drive results.

Lead a team of AI engineers to drive innovations in healthcare technology, focusing on NLP and ML methodologies, while contributing hands-on to development.

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

The internship involves co-designing a research project on AI and music, developing ML/NLP models, contributing to publications, and gaining mentorship.

Design and deliver end-to-end ML/LLM solutions, build AI agents, and collaborate closely with teams to implement scalable models and workflows.

Seeking a Senior Fraud Analyst to leverage data for fraud prevention, collaborate on controls, and conduct risk analyses using SQL and Python while improving profitability.

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.

As a Product Designer, you will collaborate with teams to create intuitive designs, manage user experiences, and lead UX activities. You'll use data to inform decisions and enhance the design system through co-creation with stakeholders.

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

Lead KYC integrations and AI tools, manage compliance workflows, analyze data for improvements, and collaborate with teams to enhance user experience.