Top Machine Learning Jobs in Lisbon

Lead product management for data security, defining roadmaps, driving development, and ensuring delivery of innovative capabilities in Cloudflare's SASE platform.

Lead AI initiatives for Datadog Notebooks by designing, developing, and deploying ML/AI-driven features, including robust agent systems and enhanced user experiences.

Join the FinTech Data Science team to develop ML models for fraud detection and optimize billing systems using AI and NLP techniques.

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 Market & Customer Intelligence Program, transforming insights into actionable intelligence, and driving program adoption across Medtronic EurAsia while managing stakeholder engagement.

The role involves designing and implementing AI features within trading applications, focusing on model optimization, prompt engineering, and collaboration with teams to enhance software capabilities.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

As a Staff AI Engineer, you'll design and implement components of an AI tutoring system, conduct experiments, and create scalable systems integrating LLM capabilities, ensuring high-quality learning experiences.

Design, develop, and deploy AI-driven applications and conversational agents on Microsoft Azure using Python and Copilot Studio; integrate Azure AI services, build backend APIs, test and optimize models, and document solutions while collaborating with cross-functional teams.

The Senior Product Manager will define the roadmap for ML-powered features, enhance customer satisfaction, and collaborate with cross-functional teams to launch AI capabilities.

The Principal Product Manager will define the product roadmap for AI-powered features, working closely with engineers and other teams to enhance customer experience and automate tasks.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

As an AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

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

The Senior Specialist will enhance global trade compliance through risk management, customs governance, AI analytics, and cross-functional leadership, ensuring regulatory adherence and operational excellence.

You will solve complex problems related to cross-border logistics and B2B systems, focusing on high-load architecture and AI-driven tools.

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

Lead the design and deployment of AI and analytics solutions for customer engagement, driving insights and measurable commercial impact in the marketing technology ecosystem.

Lead full-stack development and architecture of a scalable invoicing platform using C#/.NET, Vue.js, and Azure. Drive AI integration, mentor developers, ensure reliability and performance, and collaborate with product and data teams to deliver AI-enabled user features.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

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

The Principal Data Scientist will develop retail measurement solutions, leveraging algorithms, ML, and AI to meet client needs, leading R&D projects from ideation to production.

The AI Implementation Specialist will lead the deployment of AI solutions, work with software developers, and bridge AI research with product implementation, ensuring model adaptation and performance alignment with business goals.