Top Machine Learning Jobs in Lisbon

The RPA Analyst/Developer will design, develop, test, and implement RPA robots, ensuring reliability and quality while continuously improving development practices.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

The role involves working on high-quality, reliable, and scalable software solutions using various programming methodologies and technologies. You will embrace Agile practices and contribute to the company's mission to improve systems and deliver value to clients.

Seeking a dotnet Engineer with 2+ years of experience in dotnet core, proficient in OOP, SQL, and ideally SPA frameworks like Angular or React. Role focuses on innovative development practices within a remote-first work environment.

We are seeking a NodeJS Engineer with 3+ years of NodeJS experience, strong JavaScript and TypeScript proficiency, and familiarity with SQL databases. The role focuses on implementing continuous integration, cloud services, and agile methodologies while fostering personal growth in a remote-first environment.

The Data Scientist will explore Generative AI and machine learning applications in gaming, improving player experiences and creating scalable AI solutions.

The Reliability Engineer will optimize multi-sensor systems, automate model training for deep learning, and support lab testing and monitoring of deployed systems.

The Product Definition Analyst will document business flows, gather requirements, assist in solution design, and support testing for biometrics solutions in airport systems.

As a Senior AI Product Owner, you will lead the vision for our AI platform, prioritizing product backlogs, collaborating with teams, and driving system improvements through user research and agile practices.

Join the AI engineering team to develop reliable AI infrastructure for manufacturing systems, focusing on MCP servers, telemetry, and model retraining pipelines.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The role involves designing and implementing AI features within trading applications, focusing on model optimization, prompt engineering, and collaboration with teams to enhance software capabilities.

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.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Junior Machine Learning Engineer, you will build and productionize machine learning models, monitor performance, and collaborate with engineers on intelligent services and data pipelines.

Lead development of AI agents, architect and scale agentic platforms, ensuring reliability, training LLMs, and collaborating cross-functionally. Responsible for mentoring and driving technical leadership.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

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.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile applications, collaborate with teams, and analyze data to enhance user experience.