Top Machine Learning Jobs in Portugal

The DS/ML Engineer at Veeva will develop and optimize data-driven applications, use AI for business workflows, and mentor team members, ensuring high-quality ML solutions.

As an Associate Machine Learning Engineer, you'll support the development and maintenance of infrastructure for ML models, collaborate with teams, and ensure code quality through testing and Agile practices.

The Machine Learning Engineer will build and maintain infrastructure for ML model deployment, develop APIs, ensure scalability, and collaborate with teams in an Agile environment.

Lead a team of analysts for Trade Surveillance, manage processes, enhance monitoring tools, conduct investigations, and report metrics to management.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Craftable Software seeks a Java Engineer to improve system quality and scalability. Ideal candidates are developers proficient in OOP, SQL, and SPA frameworks, eager for challenges and growth within an agile environment.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Senior Geospatial Machine Learning Engineer, you will develop and improve algorithms for vegetation analysis, enhance existing products, and lead projects impacting wildfire risk management.

Design and implement scalable data pipelines for telecom data, optimize ETL processes, collaborate with data scientists to deploy ML models, and ensure data integrity and performance.

The Engineering Manager, Machine Learning leads a team to deliver AI/ML features, collaborates on project improvements, and fosters team growth in a dynamic environment.

Upwork is opening a new hub in Lisbon and is hiring for technical roles, focusing on AI/ML engineering, product development, design, and back-office positions.

Research and implement physics-informed AI algorithms, design workflows, supervise teams, collaborate with external institutes, and publish findings.

Lead the development of AI agents and associated platforms, focusing on multi-agent systems, LLM training, and production infrastructure. Collaborate across teams and mentor engineers.

Build and maintain data pipelines, features, and services for ML and analytics, work on APIs, microservices, and integrate LLMs while ensuring MLOps best practices.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

Lead the development of GenAI infrastructure, build ML platforms, contribute to LLM testing and deployment, and collaborate across teams to improve AI-driven experiences.

As an ML Engineer II, you will develop and improve core components of Zendesk's GenAI infrastructure, focusing on LLM applications, benchmarking frameworks, and orchestration tools for AI agents while collaborating with cross-functional teams.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

As a Machine Learning Engineer, you'll build and deploy ML models, monitor performance, collaborate with teams, and integrate ML solutions into data pipelines.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

The Senior Machine Learning Engineer will implement and enhance ML solutions, working closely with various business departments to deliver scalable applications and improve MLOps practices.

As an AI/Machine Learning Engineer, you will design and implement ML pipelines, enhance production models, and collaborate with data scientists and engineers to drive business value.

The AI/Machine Learning Engineer will develop ML pipelines, collaborate with data teams, and implement scalable models while staying updated on AI advancements.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.