Top Machine Learning Jobs in Portugal

In this role, you will leverage strong test automation skills in Java or Python to test large-scale production systems. Responsibilities include scoping project requirements, building test cases, testing AI/ML models, analyzing test results, and reporting defects.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for large datasets, enhance ML engineering platforms, implement ML Ops, and ensure high-quality deliverables. You will also conduct research on architecture patterns and collaborate with global teams to deliver projects efficiently.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale ML algorithms, implement MLOps, and write production-ready code. You will ensure high quality deliverables, collaborate with client teams, and contribute to evaluating new technologies and architecture patterns.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for massive data sets, implement ML Ops, and produce high-quality code. You will collaborate with global teams, participate in scrum calls, and contribute to researching new technologies.

As a Machine Learning Engineer at ZS, you will design and implement model pipelines, scale algorithms for large datasets, develop and maintain ML engineering platforms, and ensure high-quality code for production readiness. You will collaborate with teams, participate in scrum meetings, and contribute to research on new technologies while focusing on continuous model improvement.

The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.

As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.

As a Senior Machine Learning Engineer at Rokt, you will design and build machine learning models to tackle various business challenges, work on user targeting, segmentation, and dynamic ad content generation, and mentor team members while collaborating closely with cross-functional teams.

As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.

The Senior Data Science Analyst will execute analytical initiatives by solving business problems using advanced analytics and machine learning techniques. Responsibilities include developing reports and dashboards, managing risk issues, collaborating with partners, and continuously improving work processes.

The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.

As a Principal Quantitative Modeler, you will enhance modeling frameworks, develop econometric and machine learning models, and provide insights for Capital One's risk and capital needs. Collaborate across teams to create analytical solutions and communicate results effectively to drive business performance.

The Executive Director of Data Engineering and Governance will lead data engineers and governance analysts in designing and overseeing technology architecture for data management. Responsibilities include implementing data governance frameworks, managing data quality processes, and collaborating with data owners to establish critical data elements. This role also involves directing the use of AI and machine learning for data cleansing and organization, while aligning technical solutions with business strategy and goals.

The Executive Director, Data Engineering & Data Governance will lead a team of data engineers and analysts to develop and implement technology solutions for data management and governance. Responsibilities include establishing data quality processes, building data structures, and using AI and machine learning to enhance data handling. This role also involves cross-functional collaboration, project management, and development of business strategies to improve operational efficiency.

As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.

Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.

As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.