Top Machine Learning Jobs in Portugal

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

Join Mastercard as a Data Scientist I to work on real-world business challenges using data science and machine learning while gaining hands-on experience.

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.

As a Software Engineer at Cloudflare, you will build and operate software to enhance Internet performance and security, focusing on distributed systems.

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

As a Product Manager at Cloudflare, you'll lead the vision and execution for Cloudy, a conversational AI platform, engaging with customers and cross-functional teams to enhance product development and security operations.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Product Manager will oversee the Policy Protect solution, focusing on user interface development, collaboration with engineering teams, and driving product adoption. The role involves managing product backlogs and training teams and merchants on effective policy management.

Lead the design and implementation of scalable machine learning systems, manage teams, engage stakeholders, and drive AI initiatives at Zendesk.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

As a Data Science Team Lead, manage a team of 7 data scientists, drive technical excellence, mentor staff, and enhance ML project delivery while ensuring alignment with organizational goals.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead AI-powered analytics capabilities for customer engagement in pharma launches, collaborating with stakeholders to create data-driven solutions.

As a Senior Product Data Scientist, you will analyze complex data to support product decisions, mentor junior staff, and collaborate with cross-functional teams to enhance product performance and metrics.

The Curriculum Manager will oversee the development and improvement of the Artificial Intelligence curriculum, recruiting instructors, creating course content, and collaborating with cross-functional teams to enhance learning experiences.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

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

The RPA Analyst/Developer will design, develop, test, and implement RPA robots, ensuring reliability and quality while continuously improving development practices.

The Strategic Director will lead product strategy for payer solutions, develop client-centric products, and enhance market access offerings, ensuring alignment with client needs and market trends.

Lead data science initiatives, manage a team, and communicate analytical insights to drive strategic business decisions at Novartis.

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

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

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.