Top Machine Learning Jobs in Spain

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

As an Associate Applied AI Engineer, you will support clients by developing AI solutions, executing proof projects, and collaborating on business challenges using Celonis Process Intelligence.

Support sales teams by utilizing technical expertise and business knowledge to align and demonstrate SailPoint solutions to meet customer needs. Engage in RFP responses, demos, and value assessments while fostering relationships with clients and partners.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Data Scientist will design AI models using machine learning, train algorithms, deploy models to the cloud, and collaborate with teams to ensure data science solutions are effective and scalable.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Principal Consultant will drive digital transformation using AI, SQL, and data insights, helping clients improve their business processes through Celonis technology.

The Lead Consultant will drive digital transformation for clients by developing data-driven insights and implementing AI/ML solutions to optimize business processes and enhance efficiency through the Celonis platform.

The Senior Product Manager will lead pricing capabilities evolution at LS&Co, integrating decision-making tools with machine learning for data-informed choices. Responsibilities include product vision creation, backlog management, user research, and stakeholder communication.

Analyzes large datasets for data-driven business decisions and develops machine learning models and algorithms for practical applications.

Lead the HR People Intelligence and Analytics team, analyze employee data to drive strategic decisions, enhance employee experience, and improve organizational performance. Responsibilities include data storytelling, partnering with HR leadership, and shaping data strategy.

The Technical Manager, PX Platform will oversee the development and operation of systems for Player Experience, manage tools integration, and enhance service improvements through automation and data management.

This internship program offers recent graduates a chance to develop a Machine Learning model for crack growth prediction in aeronautical alloys, with hands-on experience and training in aerospace engineering.

The role involves developing technology processes and tools for Flight Physics, optimizing multidisciplinary analyses, and supporting digitalization efforts. Key responsibilities include collaborating on method development and ensuring effective lifecycle management of tools.

IQVIA invites expressions of interest for new AI initiative roles in various areas including AI Science, Data Engineering, and Biomedical Science, as they build a world-class team for transformative AI solutions.

As an Analyst in the Data & Analytics team, you will develop tailored analytical solutions for clients, engage in discussions, and implement prototypes to solve complex challenges across various industries.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

The Inhouse Consultant for Quality Management will optimize global processes, support eQMS, ensure compliance, and lead training within the Quality & Compliance department.

This internship combines training and practical experience in Industrial Digitalization and AI at Airbus, focusing on IoT, Big Data, and process optimization.

The role involves designing and developing software for military aircraft, analyzing requirements, selecting technologies, and ensuring asset reuse within projects.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

The role involves driving customer adoption, retention, and expansion of the Lyric platform, managing relationships, and leading quarterly business reviews. A strong emphasis is placed on program and stakeholder management within supply chain operations.

The AI Product Manager will lead the AI product strategy, oversee development, and collaborate with teams to deliver innovative AI solutions that drive customer value.