Top Machine Learning Jobs in Portugal

As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, develop and deploy machine learning models, and work on optimizing product search rankings using algorithms. You will contribute to solving complex problems in e-commerce, focusing on machine learning applications in areas like NLP, computer vision, and predictive modeling.

The Sr. Manager, Data Science will lead projects focused on optimizing Walmart’s supply chain strategies using advanced analytics and data modeling. Responsibilities include project management, data analysis, and the development of metrics and dashboards, with a goal of enhancing customer experience and operational efficiency.

As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.

The Senior Quantitative Analyst will develop multi-asset investment frameworks, construct portfolios, build algorithms and APIs, research forecasting methods, and mentor junior analysts, all while utilizing advanced optimization and simulation techniques.

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.

The Data Scientist will develop and implement AI and ML models to improve patient care and administrative services. They will collaborate with clinicians and researchers, evaluate healthcare data tools, and ensure the safe application of machine learning algorithms in clinical settings.

As a Data Scientist, you will analyze large Risk and Compliance datasets, develop and monitor machine learning models, and collaborate with team members to integrate data-driven insights into products. Your role involves understanding technical dependencies and analyzing risks and benefits of various approaches to solve problems.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks, utilizing both structured and unstructured data. This role involves project ownership, collaboration with product management, and working in agile sprints.

The Data Scientist I at Bank of America is responsible for analyzing large datasets to identify revenue opportunities and develop risk management strategies. The role involves collaborating with stakeholders, utilizing data analysis techniques, presenting findings, and maintaining quality work across multiple priorities while fostering a collaborative environment.

The Engineering Lead Manager, Data Science is responsible for overseeing the research, development, and implementation of ML and data science algorithms within a high-performance environment. This role requires both technical leadership and the ability to drive efficiency in global transaction processing and auction evaluations.

Join Talroo as a Principal Machine Learning Scientist to scale and expand high-value business initiatives using cutting-edge AI technologies and A/B testing. Work with a top-tier team to improve job recommendation processes and provide real, measurable revenue impact. Ideal candidate will have a passion for technology and solid background in computer science.

As a Research Scientist, you'll conduct research to enhance productivity and the discovery experience for scientists, develop AI tools, collaborate with researchers, mentor early-career scientists, and publish your findings.

As an Applied Research Scientist, you'll conduct innovative research to enhance the productivity of scientists using AI, collaborate with the team, mentor early-career researchers, author scientific papers, share open source software, and develop relationships with academic and industry organizations.

The Head of Emerging Technology & Data Science is responsible for driving advanced technology and analytics integration within Hartford Funds. This role involves leading innovation in AI and machine learning, collaborating with stakeholders to identify solutions, and maintaining a catalog of AI solution patterns. The individual will report on progress, serve as a thought leader, and represent the company in the investment community.

As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.