Top Machine Learning Jobs in Portugal

The Senior Staff R&D Engineer will research and develop AI and 3D vision algorithms, support their implementation, supervise students, and contribute to scientific publications.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

As a Full Stack Data Scientist, you will analyze data, create models, build dashboards, and support cross-functional teams to drive data-driven decisions and operational efficiency at Bounce.

As a Senior AML Data Analyst, you will ensure accuracy in AML data, oversee regulatory reporting, and validate detection models, partnering with teams to enhance the AML framework.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The Product Owner will manage the product backlog, translate business needs into user stories, ensure product alignment within Agile teams, and drive continuous improvement of product outcomes, especially in AI/data-driven products.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.

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

The ML Ops Engineer will build and operate scalable ML inference platforms, focusing on model serving infrastructure and deployment pipelines for AI applications.

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 AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

You will solve complex problems related to cross-border logistics and B2B systems, focusing on high-load architecture and AI-driven tools.

The Senior ML Scientist is responsible for researching and building machine learning solutions for AI capabilities, collaborating closely with teams to improve customer support systems using ML techniques.

The Principal AI/ML Scientist & Engineer will lead a team, focusing on AI/ML strategy and developing data products for business outcomes.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

The intern will develop AI models, enhance neural mechanism understanding, and collaborate on generative modeling while maintaining code quality.

Develop and evaluate scalable deep learning algorithms, collaborate on generative modeling, and improve data processing pipelines to enhance understanding of neural mechanisms.

As a Senior Machine Learning Engineer, you will build and maintain production-grade ML systems, optimize models, and collaborate with cross-functional teams to enhance capabilities of the Living Graph architecture.

Design and build cloud-native, low-latency data and ML infrastructure; implement state-of-the-art research into backend services; write testable code; communicate results via papers/patents; collaborate with Product and Data Science.

The Senior Machine Learning Engineer will lead the development and maintenance of ML infrastructure and pipelines, ensuring smooth operations of ML projects and implementing MLOps best practices in collaboration with cross-functional teams.

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.

The Senior Data Scientist will develop and oversee machine learning models, collaborate with engineering teams, and lead data science initiatives to optimize and expand solutions.