Top Machine Learning Jobs in Portugal

As a Quantitative Research Intern, you'll work on research projects involving statistical models and machine learning to improve trading algorithms and strategies, impacting real-world trading decisions.

Develop and implement algorithmic trading strategies using statistical models and machine learning, analyzing large data sets to predict market movements.

As a Quantitative Research Intern, you'll develop trading algorithms and analyze strategies using statistics and machine learning, impacting Optiver's trading decisions.

As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning while working with big data technologies.

Develop and implement algorithmic trading strategies using statistical models and machine learning to analyze and predict market movements while collaborating in a research team.

Lead the technical vision for machine learning in search and recommendation systems, ensuring effective implementation and high standards. Collaborate across teams, balance research with practical applications, and simplify complex problems.

As a Senior Data Scientist, you'll optimize matchmaking algorithms, define performance metrics, and collaborate on system efficiency improvements, focusing on large-scale user connections.

The Head of Data Science will lead and develop strategic AI/ML initiatives, mentoring teams, managing budgets, and collaborating with C-suite executives to drive business outcomes and innovation in data science.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

Lead the development of machine learning models and features for Coupang's Ads Technology platform, improving ad targeting and performance.

The Data Scientist will support US Sales Operations by analyzing data to uncover insights, build predictive models, and develop interactive dashboards to enhance performance and optimization opportunities.

As a Process Analyst, you'll validate AI outputs, assess process map quality, collaborate with stakeholders, and recommend improvements to products and tools.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

As a Machine Learning Scientist, you will advance medical NLP, contribute to research, develop methods, and collaborate with clinicians to create impactful solutions.

The Senior Data Scientist will develop machine learning models to enhance site personalization and support data-driven solutions, collaborating with cross-functional teams.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

This role involves performing data-related tasks such as data collection, evaluation, annotation, and tagging across various content types, primarily aimed at improving AI-generated content.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

As an ML Engineer, you will build and productionize predictive models for ad inventory and campaign performance, contributing to the growth of Netflix's ad platform.

As a Senior Applied Machine Learning Engineer, you will develop machine learning solutions, manage project lifecycles, and integrate data into production systems.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.