Top Machine Learning Jobs in Portugal

The Graduate Quantitative Researcher will develop algorithmic trading strategies, construct complex models, and leverage data to predict market movements.

The Fraud and Lead Quality Analyst analyzes and manages fraud detection and lead quality assurance programs, providing data-driven insights and improvements across various business units and platforms.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The AI Data Specialist role involves data collection, evaluation, and annotation for AI content, requiring advanced English proficiency.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.

The intern will support the development of AI-driven solutions for decarbonization, building models, and integrating sustainability data.

Lead predictive model development and MLOps practices to enhance product performance, collaborate with cross-functional teams, and mentor junior data scientists.

This role involves personalizing recommendations for retailers using machine learning, leading technical strategy, and driving significant business impact.

The Director of Enterprise Analytics leads the analytics team, focusing on strategic data insights, cross-functional collaboration, performance metrics, and team development to optimize revenue and improve operations.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

The analyst will enhance quantitative models, explore data sets, contribute to product development, and produce thought leadership articles within the equities platform at Voya Investment Management.

As a Senior Staff Machine Learning Engineer, you will enhance Coupang's search and discovery systems using advanced algorithms, focusing on information retrieval and recommendation systems, requiring significant industry experience.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Machine Learning Engineer needed to enhance ML platform, build infrastructure, and utilize ML frameworks to solve problems in a financial context.

This role focuses on sourcing, due diligence, and portfolio support in the AI investment ecosystem. It requires strong networking and analytical skills, combined with a proactive entrepreneurial spirit.