Top Machine Learning Jobs in Lisbon

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.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

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.

Participate in an 8-week training then work on client projects building and supporting software solutions. Contribute to development across areas like DevOps, big data, AI/ML, security, Salesforce and Outsystems, while receiving mentorship and on-the-job training toward a possible full-time role.

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.

Participate in an 8-week training program followed by on-the-job training working on software development, architectures, DevOps, big data, security, AI/ML, and data science projects, supported by mentoring and potential full-time placement.

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.

Join Accenture's Technology Graduate Programme for an 8-week training plus on-the-job project experience. Work on software development, architectures, DevOps, Big Data, security, AI/ML and data science projects, supported by training and mentorship with potential for a full-time offer.

Join Accenture's Technology Graduate Programme for 8 weeks of training and on-the-job project experience across software development, architectures, DevOps, data, AI/ML, security, Salesforce and Outsystems. Contribute to design, build and support client solutions while receiving mentoring and potential full-time placement after the program.

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

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.

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.

As a Senior AML & Risk Analyst, you will manage complex AML investigations, analyze transactional data, mentor junior analysts, and contribute to policy improvements.

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.

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.

Lead design, development, validation, and production deployment of advanced ML models. Drive technical projects, collaborate with Data/MLOps Engineers, translate stakeholder needs, and mentor junior data scientists.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.