Top Machine Learning Jobs in Spain

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

The Senior Specialist will enhance global trade compliance through risk management, customs governance, AI analytics, and cross-functional leadership, ensuring regulatory adherence and operational excellence.

This role develops ML and AI services for user experiences, builds data/model pipelines, and deploys solutions, focusing on real-world problem solving

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.

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

As a Senior Machine Learning Engineer, you'll build and optimize ML pipelines, automate the model lifecycle, and collaborate with cross-functional teams to integrate AI solutions into production systems.

As a Senior Machine Learning Engineer, you will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

The Machine Learning Intern will learn advanced technologies in ad-tech, develop algorithms, manage datasets, and collaborate with a motivated team.

As a Senior Data Scientist, you'll analyze algorithms in live auction conditions, monitor ML model performance, design experiments, and optimize systems for ad-tech.

As a Machine Learning Engineer at Incode, you'll design and deploy deep learning models for identity verification technologies, collaborating on innovative solutions and optimizing ML pipelines for performance and cost efficiency.

Design, build, and deploy AI-powered features for a digital asset management platform using AWS AI services and LLM APIs. Implement embedding-based search, agentic AI workflows, prototypes, and collaborate with product and engineering teams to transition prototypes into production.

As a Data Scientist in the Machine Learning team, you'll analyze algorithms, develop monitoring tools, conduct experiments, and optimize systems for improved performance.

As a Senior Engineer, you will develop a scalable ML Platform, enhance data pipelines, collaborate with teams, and mentor junior engineers while driving ML best practices.

Lead design, build, and deployment of ML solutions across the product lifecycle, including feature engineering, training, evaluation, and monitoring. Collaborate with product and engineering to deliver measurable impact, implement reliable pipelines, improve reproducibility and observability, and communicate model behavior to stakeholders while promoting code quality and responsible ML practices.

Design, develop, and deploy ML and deep learning models; build and maintain data pipelines and MLOps/CI-CD; collaborate with product and engineering to integrate AI into production, document results for technical and non-technical stakeholders.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior MLOps & AI Infrastructure Engineer, you'll build and maintain ML infrastructures, focusing on Feature Store, automation, and data pipelines, ensuring compliance and collaboration with data science teams.

The role involves leading technical strategies for MLOps, designing ML infrastructure, mentoring engineers, and ensuring compliance and governance in AI services.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

As a Senior AI/ML Applications Engineer, you'll develop and integrate AI tools for IC design and verification, supporting engineers with advanced methodologies and automation scripts.