Top Machine Learning Jobs in Lisbon

As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to analyze business risks using varied data sources. You'll manage projects with autonomy while collaborating with Product Management and Software Engineers in a two-week sprint cycle.

Lead the framing, development, and deployment at scale of machine learning models to assess business risk. Collaborate with teams to create insights from structured and unstructured data through a project-driven approach.

The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks using structured and unstructured data. This role involves ownership of projects with a collaborative approach alongside Product Management and Software Engineers in a sprint environment.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to assess business risks using diverse data sources. You will take ownership of projects, working in sprints with product and software teams to deliver insights and solutions.

As a Machine Learning Engineer, you will lead the development and deployment of machine learning models, transforming large amounts of structured and unstructured data into insights about risk for various businesses. You will work closely with Product Management and Software Engineers in an agile environment.

As a Senior Machine Learning Engineer at Kalepa, you will lead the development of innovative AI solutions for the insurance sector, utilizing your expertise to improve underwriter decision-making processes and drive significant business outcomes. You will collaborate closely with cross-functional teams to enhance the AI Copilot platform.

The Head of Portfolio Risk Analytics will lead the team in developing and overseeing the portfolio risk analytics and monitoring frameworks, focusing on risk assessment, performance analysis, and compliance with regulations in consumer finance. Responsibilities include designing risk appetite frameworks, collaborating across functions, and implementing stress testing and sensitivity analysis.

As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.

As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.

The Machine Learning Engineer will frame, develop, and deploy machine learning models at scale to assess the risk of various businesses by analyzing structured and unstructured data. This role includes ownership of projects and collaboration with product managers and software engineers.

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.