Top Machine Learning Jobs in Spain

The Senior Product Manager will lead product initiatives, develop roadmaps, collaborate with cross-functional teams, and drive product lifecycle from ideation to launch, ensuring alignment with business goals.

The Senior Machine Learning Engineer will develop ML tools for the LiveOps Automation team, improving player experiences and guiding less experienced members.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Manage and deliver AI/ML projects, ensuring strategic alignment and adoption across functions. Oversee project phases and facilitate change management for AI-driven innovations.

Lead the design and deployment of analytics and machine learning models using large-scale datasets to provide insights for research evaluation and innovation.

The Expert AI Manager oversees AI solution delivery, manages client relationships, and drives value creation through strategic engagement and stakeholder management.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

As Senior Product Manager for AI Translations, you will drive product strategy, roadmap execution, and performance of AI translation solutions, collaborating cross-functionally and measuring success through KPIs and customer insights.

The Senior Product Manager will lead the screening algorithms strategy, manage product developments, and enhance customer migration processes while collaborating with cross-functional teams.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

The Account Executive will lead enterprise sales, managing deals from outreach to closure, ensuring client satisfaction and driving adoption of Mistral's AI solutions.

As a Machine Learning Engineer, you will build and scale ML infrastructure, manage deployments, and optimize models for production, collaborating with researchers and engineers.

The ML/AI Engineer will develop and implement AI and ML solutions, optimize models, and collaborate across teams to meet business needs.

The role focuses on designing, implementing, and optimizing machine learning solutions, improving data workflows, and enhancing customer experiences.

Lead the vision and strategy for Delivery Hero's ML platform, focusing on MLOps implementation, team management, and stakeholder engagement.

As a Senior Software Engineer in AI/ML, you'll design, develop, and enhance software for autonomous robotic inspections, optimize ML systems, and collaborate with cross-functional teams.

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

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

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

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

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

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.

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.