Top Machine Learning Jobs in Lisbon

As a Staff Machine Learning Engineer, you'll lead the development of AI solutions, working with application teams and data scientists to build a reliable AI infrastructure at Robinhood. You'll oversee high-impact projects for a centralized AI platform, ensure seamless integration, and drive the implementation of effective ML models and data access strategies.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk. You'll transform diverse data sources into meaningful insights, collaborating with Product Management and Software Engineers during bi-weekly sprints.

The Machine Learning Engineer at Kalepa will frame, develop, and deploy machine learning models to assess business risks. This role involves analyzing structured and unstructured data to generate insights, collaborating closely with product and software teams, and working autonomously on projects within two-week sprints.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models, transforming structured and unstructured data into insights about business risks. The role emphasizes ownership over projects, collaboration with product management, and software engineers in an agile environment.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models that analyze the risk of various business classes. You'll transform vast structured and unstructured datasets into valuable insights while collaborating with product management and software engineers in an agile environment.

As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.

As a Senior ML Engineer at Curai Health, you will develop and enhance AI systems for patient and physician applications. You will fine-tune large language models, perform model evaluations, mentor team members, and collaborate across product, engineering, and clinical teams to generate impactful machine learning solutions.

As a Machine Learning Engineer, you will frame, develop, and deploy machine learning models to assess risk for various businesses using structured and unstructured data. The role emphasizes ownership of projects and collaboration with product management and software engineers in a sprint-based environment.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze risks for various businesses, utilizing both structured and unstructured data. The role requires close collaboration with Product Management and Software Engineers in an agile environment, with a focus on delivering actionable insights.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks associated with various businesses. Responsibilities include converting structured and unstructured data into actionable insights and working closely with product management and software engineers in a sprint-based environment.

The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models at scale, focusing on understanding the risk of various classes of businesses. They will turn structured and unstructured data into actionable insights, working collaboratively in sprints with Product Management and Software Engineers.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risks. Responsibilities include processing large datasets and collaborating with product and software teams to drive project direction.

As a Senior Applied Scientist at Chewy, you'll leverage machine learning and data science to enhance product discovery and optimize advertising solutions. Responsibilities include deploying models, collaborating with product and engineering teams, leading model development, publishing research, mentoring junior scientists, and communicating insights to leadership.

As an Applied Scientist at Chewy, you will develop machine learning and data science solutions to enhance the shopping experience for pet owners. Responsibilities include improving product relevance, click-through prediction models, and auction algorithms, while collaborating with product and engineering teams. You will also publish research and mentor junior scientists.

The Senior Lead Machine Learning Scientist will develop and implement machine learning algorithms, focusing on deep learning for multimodal data problems. This role involves leading research projects, collaborating with cross-functional teams, and staying current with advancements in AI and machine learning.

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.

The Machine Learning Engineer will frame, develop, and deploy machine learning models at scale, analyzing structured and unstructured data to derive insights about business risks. Responsibilities include collaborating with Product Management and Software Engineers within a two-week sprint framework, while maintaining full project ownership.