Top Machine Learning Jobs in Spain

As a Commercial Analytics Engagement Manager at Veeva Systems, you will lead the deployment of analytics solutions for Life Sciences customers. Your role involves collaborating with data scientists and consultants, translating business needs into effective solutions, and fostering relationships with clients. You will also focus on team development and continuous innovation in the analytics offerings.

As a Senior ML Data Engineer at Dow Jones, you will design, develop, and maintain robust data pipelines for data scraping, processing, and storage. You will collaborate with data scientists to ensure efficient data retrieval and integration for analysis and decision-making, applying best practices and industry standards in data engineering.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.

The Data Scientist R&D Lead will develop globally scalable AI solutions for drug development processes, applying expertise in machine learning and analytics to biomedical projects. Responsibilities include building algorithms, conducting experiments, generating insights from data, and collaborating with cross-functional teams to deliver production-ready models.

The Digital Data Architect at Sanofi leads the design of R&D data foundations, translating business requirements into data models while ensuring compliance with IT standards and digital operational efficiency. This role involves managing large project architectures and integrating industry standards to maximize business value.

As a Machine Learning Engineer, you will analyze AI trends, develop features for legal applications, create ML/NLP prototypes, enhance models for stability, deploy testing environments, and collaborate with AI teams to deliver robust solutions.

As a Senior ML Data Engineer, you will design, develop, and maintain data pipelines for scraping, processing, transformation, and loading of data. This role involves collaboration with data scientists and ML engineers to ensure efficient data retrieval and integration, alongside troubleshooting data quality issues and optimizing database systems.

The role involves managing the global sales pipeline, providing data analysis and insights to enhance lead generation and conversion, creating lead scoring models, reporting KPIs, optimizing processes, ensuring data quality in Salesforce, conducting experiments, and collaborating with cross-functional teams.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.

As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.

As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.

As a DS/ML Engineer at Veeva Systems, you will develop large-scale AI language features, including NLP, NLU, and NLG, within a cross-functional team. Responsibilities include building scalable language services, optimizing models, and managing MLOps automation for production. You will also mentor team members and maintain a strong communication framework.

Exciting opportunity to be the AI / ML product manager at Sinch, identifying AI opportunities, developing ideas with product teams, and ensuring high trust & compliance. Reporting to the Senior VP of Customer Experience & Growth.