Top Machine Learning Jobs in Madrid

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

As a Data Scientist at Wave, you will optimize user initiatives, perform advanced analytics, and develop machine learning solutions to enhance user engagement and business impact.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

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

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

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

As a Commercial Data Analyst at Superbet, you will analyze customer behavior and product performance, framing questions and delivering insights to influence strategy across teams.

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

The Machine Learning Engineer will develop, deliver, and operate AI-driven components for vehicle claims using computer vision and scalable ML pipelines on GCP, deploying services and ensuring performance optimization.

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 the Lead Machine Learning Engineer, you will design and implement scalable ML systems, mentor a team, and collaborate across functions to drive ML projects, ensuring best practices and aligning goals with engineering and business needs.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

The Lead ML/Analytics Engineer will develop and maintain ML systems for decision-making, owning the deployment lifecycle, collaborating with teams, and driving engineering standards with a focus on cloud infrastructure and data analytics.

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.

Develop, enhance, and maintain ML pipelines and data science solutions. Collaborate with data scientists and deploy models in production. Assist junior team members and pursue further expertise in MLOps and cybersecurity applications.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

The Senior IA/ML Engineer will design and develop AI solutions, build ML models, and implement MLOps practices while collaborating with a team.

The Senior Backend Engineer will develop a new ML Platform, optimize data pipelines, and ensure robust backend services for ML practices while mentoring junior engineers.

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

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

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.

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.