Top Machine Learning Jobs in Lisbon

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 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 an Audio Machine Learning Intern, you will develop AI-powered audio processing algorithms, prototype ML algorithms, and present findings while collaborating with experts in ML, DSP, and psychoacoustics.

As a Data Scientist at Feedzai, you will analyze and preprocess client data, develop models, and collaborate with stakeholders to enhance risk management solutions while ensuring effective communication of findings.

As a Full Stack Data Scientist, you will analyze data, create models, and collaborate with cross-functional teams to drive data-driven decision-making and operational improvements for Bounce's services.

Leading AI initiatives and transformations within product management, guiding teams on AI adoption, and designing AI-integrated workflows while promoting organizational change.

The Product Definition Analyst will document business flows, gather requirements, assist in solution design, and support testing for biometrics solutions in airport systems.

The Reliability Engineer will optimize multi-sensor systems, automate model training for deep learning, and support lab testing and monitoring of deployed systems.

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

Seeking a dotnet Engineer with 2+ years of experience in dotnet core, proficient in OOP, SQL, and ideally SPA frameworks like Angular or React. Role focuses on innovative development practices within a remote-first work environment.

The role involves working on high-quality, reliable, and scalable software solutions using various programming methodologies and technologies. You will embrace Agile practices and contribute to the company's mission to improve systems and deliver value to clients.

The Data Scientist will explore Generative AI and machine learning applications in gaming, improving player experiences and creating scalable AI solutions.

The Principal Vulnerability Researcher leads vulnerability detection initiatives, analyzing CVEs, developing detection techniques, and integrating AI/ML to enhance workflows while ensuring legal compliance and mentoring team members.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

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

Join the AI engineering team to develop reliable AI infrastructure for manufacturing systems, focusing on MCP servers, telemetry, and model retraining pipelines.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Work on prototyping and implementing audio ML algorithms for real-time applications. Present findings and integrate solutions into existing platforms. Collaborate with experts in ML and DSP.

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 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.

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 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.

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.