Top Machine Learning Jobs in Barcelona

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 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.

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

Join the Fintech team as a Senior Fraud Analyst, focusing on fraud prevention strategies and data analysis to improve profitability and streamline controls.

The Product Manager will integrate AI and automation into operations, driving product strategy, collaboration, and market advancements in trading and risk management.

Lead and mentor high-performing engineering teams to develop scalable, low-latency systems for real-time decision-making in payment processing.

As a Senior MLOps Engineer, you will architect and implement MLOps pipelines and tools to enhance fraud detection and regulatory compliance.

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

The Product Manager will lead the strategy for matching algorithms, oversee their lifecycle, and collaborate with various teams to meet market needs.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead the development of AI-powered identity verification solutions, overseeing product strategy, collaboration across teams, and ensuring customer satisfaction.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

As a Junior Data Scientist, you will create data-driven solutions, participate in R&D processes, and assist in operational requests using your knowledge of statistics and machine learning.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

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.

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.

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 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.

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

The Senior Product Analyst will analyze user behavior, optimize interactive forms, and collaborate with teams to enhance user experience on a travel website using data-driven insights.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

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