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Top Machine Learning Jobs in Lisbon
The Lead Software Engineer will develop and enhance Disney's advertising machine learning platform, focusing on improving inventory forecasting, ad delivery, pricing, and targeting using AI. This role involves creating scalable solutions for data analysis and modeling while collaborating with researchers and balancing architectural considerations.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
As a Sr. Machine Learning Engineer, you will leverage large-scale computation and machine learning to enhance customer products. You will oversee dataset analysis, lead model development, manage ML Ops, and communicate complex issues effectively while fostering a collaborative environment for improved user experiences.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
The Data Owner Director will strategize and deliver product data to support business operations and advanced analytics. Responsibilities include driving data quality, collaborating with stakeholders to understand data usage, prioritizing data issue resolution, managing data risks, and overseeing data-related initiatives while ensuring compliance with company standards.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
Featured Jobs
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.
As a Lead Machine Learning Engineer at Capital One, you'll design and implement machine learning applications, collaborate with cross-functional teams, and solve complex problems through coding and model validation. You'll ensure high performance and reliability of deployed models while leveraging cloud technologies and CI/CD practices.
As a Staff Data Engineer, you will lead the design, development, and maintenance of data infrastructure and pipelines, ensuring efficient access to data for business intelligence and analytical needs. You will mentor junior engineers while overseeing data integration projects and driving the technical vision of the department, ensuring alignment with Zoro's strategic goals.
As a Machine Learning Scientist focused on Speech AI and NLP, you will research and produce advanced machine learning models and applications, collaborate across the firm to develop impactful software solutions, and design scalable data processing pipelines for optimizing business results. You will prioritize innovative learning and knowledge sharing.
As a Lead Machine Learning Engineer, you will design, develop, and implement ML applications, manage model performance, and collaborate with Agile teams to solve business problems. The role involves maintaining production models, leveraging cloud technologies, and ensuring best practices in responsible AI.
As a Principal Machine Learning Engineer, you will develop scalable ML systems for Roblox's Virtual Economy, overseeing design, collaborating with teams, mentoring junior engineers, and setting the direction for future ML initiatives.
As a Machine Learning Engineer at JPMorgan Chase, you will design and develop machine learning systems, preprocess datasets, research algorithms, and support workflows for experiments and model deployments. You will transform prototypes into deployable models and develop applications based on business requirements.
The Principal Data Scientist will develop innovative machine learning models and build a data-driven culture that enhances customer financial inclusion. Responsibilities include feature engineering, collaborating with teams to adopt models, and establishing data science standards. The role entails solving high-impact challenges related to marketing, product development, and user experience personalization while monitoring and updating production models.
As a Senior Data Scientist at Udemy, you will collaborate with cross-functional teams to enhance skill assessment platforms, develop data pipelines, and psychometric models. You'll work on defining metrics, building dashboards, and implementing innovative solutions in educational assessment. The role requires strong analytical skills and familiarity with measurement models.
The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.
As a Senior Principal Machine Learning Engineer at Atlassian, you will design and implement innovative machine learning models to enhance products like Jira and Confluence, analyze vast datasets for insights, and collaborate with cross-functional teams to foster AI integration. You'll also mentor colleagues and lead AI knowledge-sharing sessions.
The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.
As an Applied AI ML Senior Associate, you will develop machine learning and deep learning solutions, conduct experiments, and work collaboratively in a team to productionize AI/ML solutions. Responsibilities include enhancing ML workflows with large language models, coding in Python, and optimizing system performance.
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.
As a Senior/Principal Machine Learning Engineer at Roblox, you will build models for search, recommendation, and personalization in the Marketplace. You will work with cross-functional teams, manage complex projects, establish engineering best practices, and mentor junior engineers, all while ensuring systems are scalable and reliable.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As a Senior Machine Learning Engineer, you'll design, develop, and implement machine learning applications across an Agile team. Your responsibilities include building ML models, informing infrastructure decisions, automating tests and deployments, and monitoring existing models. You'll collaborate with cross-functional teams to optimize ML solutions and ensure they follow best practices in Responsible and Explainable AI.
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