Top Machine Learning Jobs in Madrid

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

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.

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.

Lead the Face Intelligence team at Veriff, focusing on developing ML models for identity verification, ensuring compliance, and driving collaboration with product and legal teams.

Lead and develop a team of data scientists and ML engineers focused on machine learning models for face biometrics, ensuring high accuracy and compliance with privacy regulations.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

Lead the development of AI-powered identity verification solutions, managing product vision, strategy, and collaboration across teams to drive product success and customer trust.

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.

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 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.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

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

The Sales Account Manager will drive sales activities in Spain's Banking and Financial Services market, managing accounts, building relationships, and executing strategic plans to increase revenue and customer satisfaction.

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

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

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.

As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain models in production, and document processes.

As a Lead Machine Learning Engineer, you will design ML infrastructure, mentor engineers, and ensure deployment reliability while collaborating across teams.