Top Machine Learning Jobs in Spain

The ML Engineer will build and refine ML models, manage experimentation environments, collaborate with teams, and ensure model performance in production.

As an ML Engineer, you will create and enhance ML models, collaborate with teams, maintain pipelines, and ensure optimal model performance.

Design, develop, and deploy machine learning models, ensuring performance optimization and collaboration with cross-functional teams to integrate solutions.

The Senior Machine Learning Engineer will lead the software development lifecycle for healthcare AI solutions, including architecture, design, and operations, collaborating cross-functionally to enhance Aetion's products.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

Develop and integrate machine learning solutions for fraud prevention in transactions, analyze data using SQL and Python, and manage the complete lifecycle of ML solutions.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

As a Machine Learning Engineer, you'll apply state-of-the-art techniques to projects, enhance customer experiences, and communicate results effectively.

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

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.

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 oversee complex projects, mentor teams, drive ML practices, and shape technical strategy.

The Senior Machine Learning Researcher will develop predictive models in biology, create ML-based biological representations, and optimize models for drug response simulations.

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

Responsible for the end-to-end lifecycle of ML solutions focusing on API development and full-stack engineering, utilizing advanced ML libraries and LLMs.