Top Machine Learning Jobs in Portugal

Data Scientist will leverage machine learning and analytic tools to enhance ad systems, drive business strategies, and lead research initiatives.

Lead the development and enhancement of data quality and research processes, utilizing machine learning and statistical modeling techniques. Collaborate with teams to translate requirements into data-driven solutions and monitor model performance.

The Senior Data Scientist will solve complex engineering problems, collaborate on analytics, generate reports, and improve systems using machine learning and data analysis.

Support the development of AI capabilities in robotics by researching ML models, collaborating with teams, and conducting experiments.

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.

The Associate Director will oversee QC for biologics, manage external testing partners, develop analytical methods, and ensure compliance with regulatory standards.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Develop data-driven solutions to optimize supply chain efficiency. Responsibilities include predictive modeling, building dashboards, and analyzing data to enhance operations.

As a Data Scientist, you will analyze large datasets, implement machine learning algorithms, and communicate findings. You'll support government clientele and ensure proper data management and modeling.

The Data Scientist will develop models using RWD, integrate data from multiple sources, and enhance data curation to support healthcare innovation.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Lead the analytics and insights teams, develop strategies for customer solutions, and implement innovative data-driven models to enhance business efficiency.

Analyze and report on data for Enterprise Fraud Operations, develop dashboards and tools, and communicate insights to stakeholders.

The Senior Data Scientist at MoveOn will leverage data-driven strategies to shape campaigns, optimize engagement, and provide actionable insights using advanced data science techniques.

Drive innovation in hazard data and analytics for the insurance industry, focusing on client interactions, regulatory strategy, and product expertise.

The Digital Risk Advisory Lead advises on digital solution lifecycle risks, leads risk assessments, implements compliance controls, and manages quality assurance for AI and data initiatives.

The Digital Senior Director leads AI product management, developing go-to-market strategies, driving revenue, and managing client relationships within the Education and Research sectors.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

The Director of Data Science will lead data initiatives, mentor teams, and leverage advanced analytics to drive business insights for partners. Responsibilities include implementing machine learning models, data governance, and fostering innovation in data solutions.

The Technology Development Program involves rotational experiences in Data Science and Data Analytics Engineering. Responsibilities include data analysis, model development, and collaboration on business initiatives. Candidates will enhance their skills in machine learning and data strategy, leading to a full-time role at program completion.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The Quantitative Researcher will analyze private credit markets using statistical models, conduct data analysis, and communicate insights to support investment teams.

Develop neural decoders to enhance Brain-Computer Interfaces (BCIs) with machine learning solutions. Collaborate across teams to drive project execution.

The Data Scientist II will develop predictive models using machine learning, analyze data, and inform business strategy in a collaborative team environment.