Top Machine Learning Jobs in Madrid

The Senior Director, Data Platforms and Engineering will lead the strategy and execution of Pfizer's data engineering and platform initiatives, overseeing teams to drive innovation in data management and analytics. The role involves collaboration with internal and external stakeholders, scaling robust platforms, and fostering a culture of technical excellence and continuous improvement.

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

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

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 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.

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

The Senior Data Analyst will analyze player performance, partner with ML Engineers, generate reports, and design statistical tests to improve game experiences.

The role involves designing and developing ML systems for game operations, ensuring performance and empowering game teams with ML capabilities.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

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

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

The Senior Product Analyst will analyze user behavior, optimize interactive forms, and collaborate with teams to enhance user experience on a travel website using data-driven insights.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

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

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.