Top Machine Learning Jobs in Barcelona

The Senior AI Tech Lead will guide the implementation of AI solutions, ensuring high standards in software engineering and technical execution across various project stages.

The Iberia Sales Account Manager drives sales and account management in Spain and Portugal's Banking and Financial Services market, focusing on customer relationships and strategic account plans.

As a Senior Product Manager, you'll lead cross-functional teams to deliver customer strategies, enhance the app experience, and align with product goals at Monzo.

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.

The Senior Machine Learning Engineer will build scalable AI tools, collaborate with cross-functional teams, and optimize AI pipelines using cloud resources. The role involves mentorship and development of ML infrastructure.

You will analyze model behavior in a live auction environment, propose enhancements, and collaborate on performance monitoring tooling.

As a Senior Product Data Analyst, you'll analyze customer behavior and product performance to influence strategic decisions, automate reporting, and collaborate across teams.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

The Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

As a Principal Data Product Manager focused on Machine Learning and AI, you will define the product vision, manage the roadmap, and oversee cross-functional collaboration to drive data-driven solutions that enhance business outcomes.

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

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

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

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.

The Senior Machine Learning Engineer at Tripledot Studios will implement ML algorithms, design experiments, deploy models, and collaborate with teams to enhance player experience and optimize game performance.

The Senior Machine Learning Platform/Ops Engineer will design and productionize ML systems with a focus on reliability, performance, and observability, collaborating with ML Scientists and Backend Engineers.

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

As a Senior Machine Learning Engineer II, you'll architect, deploy, and maintain AI solutions, optimize ML models, and collaborate with various teams to enhance customer support systems.

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

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.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

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

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