Top Machine Learning Jobs in Barcelona

The AI/ML Engineer will drive advancements in conversational AI by improving LLM capabilities, developing prompt strategies, integrating systems, and conducting research on AI innovations.

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

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.

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.

Lead the development and deployment of advanced AI and machine learning models, mentor junior engineers, and ensure scalability and robustness of AI solutions.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

Develop and maintain high-performance data-driven systems, advance real-time feature engineering, and collaborate with cross-functional teams to enhance MLOps practices.

Develop and maintain ML systems in a distributed environment, enhance MLOps capabilities, collaborate with cross-functional teams, and implement solutions for critical business problems.

The role involves leading a team of engineers in developing and deploying ML/AI solutions, focusing on LLMs on AWS, while ensuring technical execution and team growth.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

As a Senior Machine Learning Engineer, you will lead ML initiatives, optimize workflows, and develop AI solutions in healthcare, ensuring technical excellence and collaboration across teams.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

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

As a Lead Machine Learning Engineer, you will design ML infrastructure, mentor engineers, and ensure deployment reliability while collaborating across teams.

Lead and support a senior engineering team focused on ML infrastructure and scalable systems, ensuring technical quality and team growth.

Lead the design and development of ML pipelines, ensure model reliability, mentor engineers, and collaborate with cross-functional teams to deliver scalable solutions.

As a Senior AI/ML Engineer at Crypto Banter, you will develop a market intelligence system that correlates social media signals with cryptocurrency price movements, leveraging natural language processing and real-time data.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Leading complex, cross-functional projects in machine learning, managing stakeholder communications, risk mitigation, and ensuring production readiness.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The Staff Machine Learning Engineer will develop machine learning solutions for online gaming, drive initiatives, mentor engineers, and ensure project alignment with business goals.