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.

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 role involves developing machine learning models for price optimization, deploying ML systems, and enhancing performance with large-scale data engineering. Responsibilities include designing model training pipelines, experimentation, and mentoring peers in ML best practices.

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.

We are seeking a NodeJS Engineer with 3+ years of NodeJS experience, strong JavaScript and TypeScript proficiency, and familiarity with SQL databases. The role focuses on implementing continuous integration, cloud services, and agile methodologies while fostering personal growth in a remote-first environment.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.

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

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The Systems Research Engineer will design real-time ML inference systems, define technical standards, drive architectural decisions, and communicate research findings, focusing on cloud-native applications and DevOps principles.

The role leads the implementation of clinical document management systems, integrating AI/ML technologies, while managing teams, vendor relationships, and ensuring compliance with regulatory standards.