Top Machine Learning Jobs in Lisbon

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

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

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.

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

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

The Senior Staff R&D Engineer will research and develop AI and 3D vision algorithms, support their implementation, supervise students, and contribute to scientific publications.

As a Senior AML & Risk Analyst, you will manage complex AML investigations, analyze transactional data, mentor junior analysts, and contribute to policy improvements.

As a Full Stack Data Scientist, you will analyze data, create models, build dashboards, and support cross-functional teams to drive data-driven decisions and operational efficiency at Bounce.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

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 Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

As a Business Analyst, you will optimize financial and operational ecosystems, define KPIs, build dashboards, and represent logistics in projects while communicating insights effectively.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

Lead and scale a Machine Learning Engineering team, develop ML solutions, drive technical strategy, and mentor engineers while collaborating with data scientists.

Define and lead the data science strategy for pricing and marketing optimization. Oversee advanced modeling and mentor a high-performing team.

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 Product Owner will manage the product backlog, translate business needs into user stories, ensure product alignment within Agile teams, and drive continuous improvement of product outcomes, especially in AI/data-driven products.

The Data Science Manager will lead teams of data scientists and machine learning engineers to execute Feedzai's product AI vision, managing technical projects and recruiting top talents, while providing technical leadership and ensuring project success.

Develop and deliver training programs for resellers, customers, and employees to maximize the value of Geotab's products. Responsibilities include creating training materials, facilitating onboarding, and adapting curricula for diverse audiences.

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.

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

Lead integration of airline partners using APIs, optimize supply metrics, implement AI solutions, and collaborate across teams to enhance travel booking experiences.