Top Machine Learning Jobs in Lisbon

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies supporting Capital One's Data Strategy. Responsibilities include guiding ontology-based data product deployment, defining actionable problem statements, prioritizing ontological roadmaps, leveraging technology and architecture vision, and influencing stakeholders. They will also mentor junior associates and contribute to team culture while focusing on data integration and industry developments.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

As Sr. Director of Analytics, you will lead analytics initiatives to maximize the effectiveness of clients' media and digital investments. Responsibilities include developing analytics strategies, overseeing performance measurement, and generating actionable insights to enhance user experiences.

As the Sr. Director of Analytics, you will spearhead analytics initiatives, drive implementation of analytics frameworks, and lead a team. Responsibilities include improving media performance, user experiences, and marketing effectiveness through data-driven insights and analytics strategies. You will have a strong background in data science and business leadership, guiding clients to enhance their digital investments and outcomes.

Develop and validate models to solve applied clinical problems, build machine learning capabilities, and collaborate with cross-functional teams at Flatiron Health. Must have 3+ years of experience in ML and NLP.

The Director of Data Science will lead a high-performing team to implement innovative analytics approaches, focusing on machine learning and predictive modeling to optimize human resources functions. They will collaborate with various stakeholders to enhance data governance, develop data science strategies, and align HR data sources with organizational needs.

As a Senior Machine Learning Engineer at Capital One, you'll design, build, and implement machine learning applications while collaborating with teams. You'll work on real-world business problems, maintain models, and leverage cloud architectures to optimize delivery at scale, adhering to best practices in machine learning engineering.

As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.

The Chief Scientist will lead research and development in Edge and Spectral AI, focusing on innovative solutions for the Defense sector. Responsibilities involve overseeing projects, technical leadership, customer engagement, and creating new business opportunities. Success requires expertise across multiple technical fields and a proactive approach to advancing technology.

As a Senior Data Scientist, you will improve the performance of Roblox's game engine, establishing success metrics and operationalizing metrics monitoring. You will analyze data, use A/B experiments, and collaborate across teams to enhance user engagement and product launches.

As a Senior Technical Director on Discovery at Roblox, you'll drive the technical vision and implementation of machine learning solutions for search and recommendation systems. You'll lead engineers, collaborate with teams, and balance technology research with practical applications, aiming to enhance user engagement and retention.

The Senior Director of Creator & Engine Data Science at Roblox will lead data strategies and AI innovations across the Creator, Studio, and Engine ecosystems. Responsibilities include mentoring data science teams, enhancing Studio tools, optimizing engine performance, and integrating advanced technologies to empower creators. This role emphasizes collaboration with product and engineering teams to drive innovation and improve creator experiences.

As a Senior Data Scientist, you will work with cross-functional teams to establish success metrics for multimedia products, operationalize metrics monitoring, analyze performance trends, and improve user engagement and monetization through data insights. You will leverage A/B experiments and causal inference methodologies to assess product features and their impact on user experiences within the game engine.

The role involves building large-scale machine learning systems focused on connecting users within Roblox, developing features like People You May Know and Friendship Score, and mentoring junior engineers. You will influence product direction and define long-term ML strategies.

The Data Scientist will support vertical data science teams in experiment design and analytics, collaborate on innovative solutions to measure ecosystem health and business performance, and drive data-informed decision-making for Roblox's learning platform and ecosystem.

The Research Scientist in NLP will develop innovative solutions using machine learning techniques, focusing on long-context question-answering, complex reasoning, and improving alignment techniques. The role involves publishing in top-tier conferences, creating evaluation benchmarks, and enhancing large language models while collaborating with academic institutions.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies that support Capital One's Data Strategy, working collaboratively across teams to design ontology-based data products. They will guide the development of semantic technology integration, manage teams, and mentor junior associates while advocating for the importance of ontology in business outcomes.