Top Machine Learning Jobs in Madrid

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.

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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

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 Performance Engineer optimizes AI systems by benchmarking, profiling, and enhancing inference workloads for improved performance and resource efficiency.

As a Senior Product Data Analyst, you'll analyze customer behavior and product performance to influence strategic decisions, automate reporting, and collaborate across teams.

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.

As a Principal Data Product Manager focused on Machine Learning and AI, you will define the product vision, manage the roadmap, and oversee cross-functional collaboration to drive data-driven solutions that enhance business outcomes.

The Financial Crime Product Manager will oversee the lifecycle of financial crime tools, manage the engineering backlog, develop product roadmaps, and align them with compliance and business goals.

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

The Cytobank Application Scientist supports a cloud-based flow cytometry data platform, delivering training and technical support to customers and internal teams while collaborating with Sales, Marketing, and R&D.

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

Lead a team of engineers to develop and deploy AI solutions focused on LLMs and AWS Cloud services while managing project roadmaps and ensuring model optimization.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

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

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

The Cytobank Application Scientist supports a cloud-based flow cytometry platform, providing training and technical assistance to customers and internal teams while collaborating with sales, marketing, and R&D.

The Cytobank Application Scientist supports a cloud-based flow cytometry platform, providing training, customer support, and collaborating with sales and R&D teams for technical troubleshooting and product improvement.

Design, build, and deploy ML-powered LiveOps tools: end-to-end ML projects from data transformation and modeling to deployment, monitoring, and iteration. Collaborate with engineers, product, and LiveOps/Game Design teams to empower gameplay experiences and troubleshoot the automation tool suite.

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

The Director of Engineering at Technosylva will lead multiple engineering teams, ensuring operational excellence while driving technical strategy and culture within the organization focusing on wildfire risk mitigation.