Top Machine Learning Jobs in Portugal

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.

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

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.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

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.

Seeking a skilled DevOps Site Reliability Engineer to develop and support Observability capabilities, ensuring reliability and performance of monitoring solutions.

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.

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

As the Director of AI, you will define and drive the AI strategy, oversee R&D efforts, and lead organizational adoption of AI workflows across various departments.

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

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

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

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.

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 Senior Product Manager at Zendesk, you will define and implement the roadmap for ML-powered features, enhancing customer satisfaction through automation and AI technology.

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

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

As a Senior AI Product Owner, you will lead the vision for our AI platform, prioritizing product backlogs, collaborating with teams, and driving system improvements through user research and agile practices.

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

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

You'll develop specs and workflows, implement quality standards, and improve data pipelines while collaborating with teams throughout the delivery lifecycle.