Top Machine Learning Jobs in Lisbon

Lead prompt engineering initiatives, coach and support business users on AI tools, create best practices and training, evaluate AI platforms, mentor junior staff, and document technical learnings to integrate AI into workflows.

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.

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

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Manage Emiri client deployments by investigating issues, triaging root causes, coaching commercial teams, configuring and QAing client models, testing fixes, and communicating resolutions while influencing the product roadmap through user feedback.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

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.

Design and deploy ML and AI solutions for finance planning and forecasting. Build predictive and prescriptive models, prepare and optimize enterprise datasets, implement model monitoring and Responsible AI, and collaborate with finance stakeholders to deliver scalable analytics, dashboards, and generative AI/LLM initiatives.

Design and build data science solutions using visualization, machine learning, and statistical modeling. Develop algorithms and quantitative methods, integrate structured and unstructured data sources, pilot new tools and techniques, and collaborate across teams to deliver scalable, global solutions that inform business decisions and improve processes.

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.

Own and grow the RateHawk Selections product: define strategy and roadmap, run fast experiments, prioritize opportunities from data and research, align Product/Engineering/Commercial/Operations, and co-own delivery to drive measurable revenue.

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.

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.

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.

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.

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 design and adoption of the Operations Target Operating Model, govern and deliver Ops improvement initiatives (including automation and AI), quantify and track cost-to-serve impact, coordinate multi-stakeholder M&A and growth activities, and produce COO-ready strategic outputs. Own KPI frameworks, initiative prioritization, and enablement of automation/AI use cases while coaching associates and ensuring TOM adoption across Operations.

Lead Salesforce product initiatives for Channel and Enterprise sales: gather and document requirements, build roadmaps, define solutions, drive implementation, enable adoption, produce reports, and partner with sales, sales ops, IT and enablement to improve selling effectiveness and reduce CRM admin burden.

Develop and deploy IE tools for automated cycle-time calculations, capacity allocation, productivity incentives, and data-driven analysis. Support simulation, material flow, IT validation, capacity balancing, and introduce machine learning for setup prediction and optimization. Train and support operational IE teams.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

Lead delivery of cloud-based data engineering, BI and advanced analytics solutions. Advise clients, design solution architectures, build data platforms on Microsoft Fabric/Databricks, develop ETL/ELT pipelines, and create Power BI dashboards. Lead and mentor teams, manage projects end-to-end, and integrate ML/Generative AI into analytics products.

Lead a product vertical end-to-end for a neobank superapp: define strategy, roadmap, and acceptance criteria; shape technical design for money movement, reliability, and compliance; apply and evaluate AI/LLM features; coordinate engineering, design, compliance, ops and finance to ship secure, auditable financial products.