Top Machine Learning Jobs in Portugal

The Senior ML Scientist is responsible for researching and building machine learning solutions for AI capabilities, collaborating closely with teams to improve customer support systems using ML techniques.

The Principal AI/ML Scientist & Engineer will lead a team, focusing on AI/ML strategy and developing data products for business outcomes.

The intern will develop AI models, enhance neural mechanism understanding, and collaborate on generative modeling while maintaining code quality.

Develop and evaluate scalable deep learning algorithms, collaborate on generative modeling, and improve data processing pipelines to enhance understanding of neural mechanisms.

As a Senior Machine Learning Engineer, you will build and maintain production-grade ML systems, optimize models, and collaborate with cross-functional teams to enhance capabilities of the Living Graph architecture.

Design and build cloud-native, low-latency data and ML infrastructure; implement state-of-the-art research into backend services; write testable code; communicate results via papers/patents; collaborate with Product and Data Science.

The Senior Machine Learning Engineer will lead the development and maintenance of ML infrastructure and pipelines, ensuring smooth operations of ML projects and implementing MLOps best practices in collaboration with cross-functional teams.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Senior Data Scientist will develop and oversee machine learning models, collaborate with engineering teams, and lead data science initiatives to optimize and expand solutions.

The Senior Machine Learning Engineer will design, develop, and deploy advanced ML solutions, focusing on LLMs and deep learning, while collaborating with cross-functional teams to deliver impactful business outcomes.

The Marketing Operations Manager will oversee AI-powered workflows within the marketing tech stack, optimizing tools, training teams, and measuring success based on AI initiatives and automation.

Design and implement machine learning pipelines, working closely with data scientists to create scalable models and production-grade code.

As a Machine Learning Engineer, you will develop scalable ML pipelines, maintain microservices for model hosting, and support CI/CD processes.

The Senior Machine Learning Engineer role involves designing and implementing ML pipelines and systems, collaborating with data scientists, and managing model deployment and diagnostics.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Design and improve AI/ML solutions, develop data processing pipelines, collaborate with teams, provide mentorship, and promote best practices in AI/ML.

Develop personalized product feeds for users by analyzing data, creating hypotheses, building models, and deploying scalable production code.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead development of AI agents, architect and scale agentic platforms, ensuring reliability, training LLMs, and collaborating cross-functionally. Responsible for mentoring and driving technical leadership.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.