Top Machine Learning Jobs in Lisbon

The role involves using data analytics and machine learning to extract insights from data at a bank, improving efficiency and innovation. Responsibilities include data extraction, cleaning, developing data pipelines, conducting statistical analyses, and collaborating with stakeholders to add value from data.

As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.

Lead the development and deployment of machine learning models to analyze risk in various businesses. Responsible for processing vast amounts of structured and unstructured data to derive insights about behavior and risk, while collaborating with product and software engineering teams.

The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risks associated with various business classes, leveraging both structured and unstructured data. You will work closely with product management and software engineering teams in a collaborative, project-driven environment.

The role involves conducting research in AI and autonomous systems, focusing on developing robust models and techniques using driving data. The candidate will collaborate with research scientists and engineers, contributing to high-quality publications and real-world applications of autonomy technology.

The Machine Learning Engineer will lead the development and deployment of machine learning models to assess risks for various businesses. The role involves transforming structured and unstructured data into actionable insights and collaborating closely with product management and software engineers.

The Senior Machine Learning Engineer at Kalepa will lead the development and deployment of machine learning models that assess business risk using a variety of data sources. Responsibilities include turning structured and unstructured data into actionable insights while collaborating with product management and software engineering teams in a sprint-based environment.

The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models to assess risks of various business classes. Responsibilities include transforming large volumes of structured and unstructured data into insights, working collaboratively with product and software teams.

Design, train, and deploy deep learning models utilizing extensive labeled and unlabeled data from a fleet of vehicles, focusing on generative and foundation models to advance autonomous driving capabilities.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models that assess the risk of various business classes. The role involves analyzing structured and unstructured data to derive insights and will require collaboration with Product Management and Software Engineers.

As a Data Scientist at Adobe, you will prioritize and lead analytics initiatives, develop machine learning strategies, collaborate with product and marketing teams, conduct A/B experiments, and foster a data-driven culture to inform product roadmaps and business strategies.

The Lead ML Engineer will manage the deployment, monitoring, and management of machine learning models and data pipelines. Responsibilities include architecting end-to-end ML services, collaborating with cross-functional teams, and fine-tuning generative AI models for performance optimization.

The Staff Data Scientist will enhance data labeling capabilities at Pinterest by applying data science to improve throughput and quality of data collection. Responsibilities include identifying analytical opportunities, collaborating with engineers and customers, mentoring other data scientists, and evolving platform strategies in partnership with product and engineering leaders.

The Senior Data Scientist leads data science initiatives in healthcare, developing and implementing complex AI models. This role includes project management from design to deployment, collaboration with teams to ensure project success, and mentoring junior scientists. The position focuses on translating technical findings to actionable insights for stakeholders, optimizing models, and fostering a culture of data-driven innovation.

As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risks using various data sources. You will take ownership of projects, collaborate with Product Management and Software Engineers, and work in two-week sprints to deliver insights that enhance underwriting decisions.

Lead the development and deployment of machine learning models to assess business risks. You will work with various data sources to derive insights, driving project focus within a collaborative team framework. Full project ownership is expected, with a two-week sprint work methodology.