Top Machine Learning Jobs in Madrid

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.

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 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.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

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

As an Applied Machine Learning Engineer, you'll apply advanced analytics and machine learning techniques to optimize rewards programs and develop new initiatives, working in a multidisciplinary team and impacting millions of users.

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

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.

Lead a team of Data Scientists and Analysts to develop strategies, frameworks, and infrastructure for actionable insights and predictive modeling. Partner with various teams to drive player engagement and business performance through analytics and ML solutions.

The Head of Data Product will oversee the development of data products, defining strategy, leading cross-functional teams, ensuring quality, and establishing metrics for success.

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 the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Fever seeks a Senior Data Scientist to enhance decision-making through data. The role involves project life-cycle management from ideation to production, requiring collaboration across business and engineering teams.

Lead KYC integrations and AI tools, manage compliance workflows, analyze data for improvements, and collaborate with teams to enhance user experience.

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.

Investigate sophisticated attack chains across cloud environments, analyze cyber threats, and provide insights to enhance cybersecurity solutions.

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

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