Top Machine Learning Jobs in Lisbon

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

The Customer Success Manager will onboard and support Portuguese utility accounts, ensuring effective use of digital twin technology and driving long-term partnerships and customer satisfaction.

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

The Systems Research Engineer will design real-time ML inference systems, define technical standards, drive architectural decisions, and communicate research findings, focusing on cloud-native applications and DevOps principles.

The Customer Value Architect will engage with customers to ensure the effective adoption and value realization of the Neara platform, focusing on ROI metrics and customer relationships.

As the Founding Marketing Lead, you will define and execute TensorOps' go-to-market strategy, generate qualified leads, and create compelling technical content to drive growth.

The Senior Strategic Project Manager will lead the coordination of strategic initiatives across EMEA, ensuring operational excellence and stakeholder engagement while managing multiple international partnerships and communications efforts.

As a Full Stack Data Scientist, you will analyze data, create models, and collaborate with cross-functional teams to drive data-driven decision-making and operational improvements for Bounce's services.

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.

As a Technical Program Manager, you will manage research programs, facilitate communication and processes, and support engineering and research teams in their objectives.

Design and implement machine learning pipelines, working closely with data scientists to create scalable models and production-grade code.

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.

Design, deploy, and maintain scalable ML pipelines and infrastructure. Implement CI/CD, automation, monitoring, and model lifecycle management. Collaborate with data scientists and engineers, provide technical leadership, and ensure reliable production integration of ML models using cloud and container orchestration technologies.

As a Machine Learning Engineer, you will build and productionize ML models, monitor performance, integrate models into data pipelines, and collaborate with software engineers on intelligent services.

Design and improve AI/ML solutions, develop data processing pipelines, collaborate with teams, provide mentorship, and promote best practices in AI/ML.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

As a ML Ops Engineer, you will design, deploy, and maintain ML pipelines, ensuring integration of models into production and optimizing performance.

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