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.

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.

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.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Design, develop, and maintain production ML services and AI agents; extend agent capabilities and hybrid human-expert workflows; implement observability for agent quality and system reliability; collaborate across ML and engineering to deploy and operate LLM-based features in production.

Lead design and scaling of Holafly's data architecture and pipelines, enforce CI/CD and data security, select cloud technologies (GCP), mentor data engineering teams, and partner with cross-functional leaders to deliver reliable, real-time analytics and ML support.

Implement and support Microsoft Customer Insights projects: integrate data sources, configure unified profiles, build customer segmentation and behavioural analyses, develop and execute test strategies, connect Customer Insights with Dynamics and other Microsoft platforms, support Sales alongside Corporate IT/T2D, and create dashboards using Power BI.

Design, build, and productionize RAG and Generative AI solutions integrating LLMs, vector databases, embeddings, and retrieval. Develop data pipelines and APIs, embed AI into RPA workflows, create PoCs and production deployments, ensure scalability, security, compliance, and monitor/optimize model performance while mentoring cross-functional teams.

Design, develop, test, and deploy RPA solutions and integrate Generative AI into workflows. Translate business requirements into scalable automation, participate in architecture and reviews, ensure quality, and monitor and optimize automation performance.

Drive application security and regulatory compliance through vulnerability management, CI/CD and Azure-based practices, security scanning, compliance testing (DR, pen tests), and developer best-practice governance. Report on product compliance, lead technical change (GenAI, FinOps), and support remediation and patching efforts.

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 client engagements, translate business problems into analytics and ML solutions, provide project oversight, develop presentations, identify new opportunities, and mentor junior team members while orchestrating the team.

Lead end-to-end FP&A consulting engagements across EMEA: design and deliver planning, budgeting, forecasting, and analytics using SAP solutions. Drive sales pursuits, RFPs, client workshops, and develop PoVs, accelerators and AI/GenAI-enabled planning use cases. Provide FP&A advisory, manage stakeholders, and ensure on-time, on-budget delivery of EPM/SAC transformations.

Lead technical delivery and product ownership for enterprise AI solutions: define strategy, translate requirements, lead AI squads across ML, data engineering, and software teams, enforce MLOps and governance, and drive deployment, adoption, and measurable business outcomes.

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.

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

Lead cross-functional projects from planning to delivery, improve operational processes, analyze budgets and KPIs, create internal communications, and introduce AI and automation to increase team efficiency and engagement.

Design, develop, and deploy production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research and implement state-of-the-art models, take prototypes through production, collaborate with data scientists and engineers, and contribute to proprietary insurance-focused AI models and scalable international AI products.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Design, build, and maintain enterprise UiPath automations including orchestration, exception handling, monitoring, security, and integrations. Translate architectures into reusable frameworks, review code, troubleshoot issues, mentor engineers, and support delivery in Agile environments.

Design, build, and maintain enterprise-grade UiPath automations including orchestration, exception handling, monitoring, security, and integrations. Translate architectures into reusable frameworks, review code, troubleshoot across environments, collaborate with architects and DevOps, and mentor junior engineers while supporting delivery planning and technical client discussions.

Drive end-to-end product development for iTero 3D imaging systems by translating clinical needs into software requirements, leading cross-functional agile teams, driving ML diagnostic initiatives from PoC to productization, analyzing clinical usage data for improvements, and embedding customer feedback into product decisions to enhance usability, performance, and clinical value.