Top Machine Learning Jobs in Madrid

As a Staff Machine Learning Engineer, you will develop machine learning solutions for online gaming, shape the ML roadmap, mentor junior engineers, and drive technical direction.

As a Senior AI/ML Engineer, you'll design and develop AI solutions, build production-level ML models, and implement MLOps practices. You'll work with a multidisciplinary team on cutting-edge projects, focusing on AI-powered software and deep learning techniques.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

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.

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 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.

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

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

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

Design and implement ML platform capabilities: observability, cost and training efficiency, experimentation tooling, and SaaS-grade ML services in Python. Collaborate with Staff Engineer and SRE/DevXP to deliver production-ready, scalable, and developer-friendly infrastructure for data scientists.

Design, build, and scale production-grade ML systems for forecasting, labour planning and operational optimisation; own end-to-end deployment, monitoring, and iteration; measure business impact and partner with Product, Engineering, and Commercial teams.

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.

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.

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.

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.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.