Top Machine Learning Jobs in Portugal

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Design, develop, and maintain Entrust's iOS SDK for document capture. Implement camera capabilities, on-device image processing and ML, integrate RESTful APIs, improve CI/CD and test automation, collaborate with product and design to deliver accessible, high-quality SDK features across devices.

Create, edit, and localize email and social-first copy for Google Nordics and Benelux. Produce high-impact short-form assets, drive engagement and A/B testing, partner with design, analytics, and data teams, maintain brand voice and accessibility, and manage content files and workflows with a focus on Dutch audiences and performance optimization.

Design, develop, and deploy revenue management and price optimization systems. Build forecasting and willingness-to-pay models, formulate and solve optimization problems, create scalable algorithms, collaborate with product and engineering teams, and mentor junior data scientists while advancing research in operations research and ML.

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.

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.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.

Design and develop AI-driven features to enhance customer experience, execute ML projects, and optimize AI performance while collaborating cross-functionally.

Lead and operationalize AI compliance and Responsible AI across development, translating regulations (e.g., EU AI Act, FDA/EMA) into policies, risk frameworks, and controls. Drive cross-functional risk assessments, monitoring, audit readiness, and training to ensure ethical, auditable, and GxP-aware AI deployment. Partner with Legal, Privacy, DDIT, and enterprise AI teams to enable safe, scalable AI adoption.

Lead and operationalize Development AI strategy, governance, and decision-support across Development, DDIT, and enterprise AI bodies. Build competitive intelligence, prioritize AI portfolio investments, run governance forums, ensure risk and compliance alignment, coordinate external partnerships, and drive capability-building and cross-functional execution to realize AI value for pharmaceutical development.

Lead development, launch, and continuous improvement of 1-3 AI-powered products in the life sciences. Define product vision, strategy, and roadmap; manage product lifecycle from MVP to scale; oversee budgets and resources; collaborate with business owners, DDIT, and external partners; drive data-driven decisions and ethical AI deployment.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Support digital retail platforms by defining tracking and KPIs, managing the full analytics workflow, building dashboards and reports, analyzing product and user behavior, validating data, and delivering insights to product teams and retailers.

Lead and grow a customer-facing engineering team delivering Feedzai solutions. Act as technical lead on client implementations, mentor engineers, hire talent, optimize processes, ensure delivery quality, coordinate with product and customer success, and drive operational excellence and incident response.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

The Head of Computer Vision will lead a team of ML Engineers, drive the long-term ML strategy, focus on breakthrough innovations, and establish cross-functional partnerships while mentoring and scaling the team effectively.

Write, edit, localize and proofread English-language email and social media copy for Google Nordics/Benelux; create social-first assets, run A/B test variants, collaborate with designers, developers, analytics and audience teams, and maintain brand voice and campaign documentation.

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.

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.

Lead the Weaviate Database product: own roadmap and strategy, translate customer and research insights into features across schema, storage, replication, and search quality, coordinate cross-functional teams, drive developer adoption, and measure feature outcomes post-release.

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

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

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