Top Machine Learning Jobs in Barcelona

The Director of Finance Transformation leads large-scale initiatives within finance, improving processes, enhancing efficiency, and managing transformation projects alongside senior leadership and cross-functional teams.

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.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

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.

The role involves designing and implementing ML services and pipelines, collaborating with teams, and ensuring reliability and efficiency in ML operations.

As a Machine Learning Engineer Intern, you will design, maintain ML pipelines, analyze datasets, and create AI systems, focusing on NLP applications.

The Data Scientist Intern will design and maintain machine learning pipelines, analyze datasets, collaborate with teams, and enhance AI applications.

As a Machine Learning Engineer, you will design and deliver ML/LLM solutions, iterating on AI agents and ensuring production rollout of effective models and workflows.

The Senior Data Scientist will design and maintain machine learning systems, collaborating with various teams to optimize operations and address business challenges.

Drive AI and Generative AI adoption in a chemical organization by leading change management initiatives, workshops, and training programs, fostering a data-driven culture.

The Digital Product Owner is responsible for developing AI-powered target discovery products, managing product vision and backlog, translating scientific needs into actionable features, and collaborating with teams to ensure integration into existing workflows.

The Lead Software Engineer will design, develop, and maintain software systems for ML use cases, apply engineering best practices, and collaborate with ML engineers and data scientists.

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.

The Data Scientist will develop ML models for image recognition, work on product categorization, and collaborate with engineers to deploy scalable solutions.

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

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

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 role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

Seeking an experienced Product Manager to enhance vendor experience on our platform, focusing on innovative tools that drive vendor success and satisfaction. Responsibilities include strategy setting, collaboration with teams, and outcome-focused execution.

The Fintech Data Analyst will identify fraud prevention strategies, implement controls, analyze risk data, collaborate with teams, and manage fraud-related dashboards.

The role involves delivering Data & AI solutions in Life Sciences, managing projects, engaging with clients, and contributing to methodology development.

The Sales Account Manager will drive sales activities in Spain's Banking and Financial Services market, managing accounts, building relationships, and executing strategic plans to increase revenue and customer satisfaction.