Top Machine Learning Jobs in Spain

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.

Own and evolve Preply's ML platform: design experiment tracking, artifact management, GPU training and scalable inference, CI/CD for ML, observability, and LLM/RAG capabilities while mentoring engineers and aligning platform delivery with product goals.

We are seeking a Senior ML/AI Engineer to build secure, scalable systems and deploy applications using machine learning, specifically in LLM. Responsibilities include architecting multi-agent systems, building data processing pipelines, and collaborating with teams.

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

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

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

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.

The Senior Machine Learning Engineer will implement and enhance ML solutions, working closely with various business departments to deliver scalable applications and improve MLOps practices.

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 will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

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

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.