Top Machine Learning Jobs in Spain

The Director of Business Development will lead tech-infused growth strategies, develop proposals for the European Commission, and enhance client solutions.

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.

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.

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.

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

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

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

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

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 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 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.

As a Machine Learning Senior Engineer, you will develop algorithms, enhance pipelines, analyze data, and mentor team members while solving unique modeling challenges.

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

Design and optimize ML pipelines for healthcare, develop scalable AI solutions, ensure model performance, and collaborate with teams.

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 Machine Learning Engineer, you will develop and improve algorithms, implement scalable solutions, and analyze data to provide business insights.

As a Data Scientist, you will design, train, and validate machine learning models, collaborate with professionals, and ensure transparency and reproducibility of results.

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