Top Machine Learning Jobs in Barcelona
The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, focusing on training and integrating AI models, as well as optimizing their performance. This role also involves collaborating with cross-functional teams and ensuring the reliability of the models through robust validation procedures.
The Senior Machine Learning Engineer at Vista Engineering will optimize marketing spend through advanced MLOps and Data Engineering techniques, build new algorithms, collaborate with business partners, and contribute to data product roadmaps.
The Principal Data Scientist will lead advanced analytics and data science projects for Media Measurement products. Responsibilities include developing statistical models, collaborating with cross-functional teams on measurement methodologies, managing projects, mentoring other data scientists, and communicating insights effectively to stakeholders.
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 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 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 Data & AI Project Manager at Fever will lead data-driven projects from conception to completion, ensuring alignment with organizational goals. Responsibilities include strategic planning, stakeholder communication, and overseeing project execution with cross-functional teams, focusing on enhancing the user experience and operational efficiency.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
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 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.
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.
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.
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.
The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
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