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Pearson VUE

Advanced Specialist, AI Scientist – LLMs, Models Training, Agents

Pearson VUE

Advanced Specialist, AI Scientist at Pearson contributing to AI-driven innovations in learning. Involves prototype design and collaboration across technical and non-technical teams.

Posted 7/8/2026full-timePoznan • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Build Prototypes That Matter
  • Design and development of PoCs and prototypes that demonstrate the potential of emerging AI technologies in content generation, assessment, and innovative AI-driven personalised learning experiences.
  • Translate conceptual ideas into working demos contributing to the development of both AI components for innovative concepts, while also building and demonstrating applications with fully integrated front-end interfaces and back-end systems.
  • Execute R&D with Growing Independence
  • Take ownership of well-scoped R&D workstreams, delivering high-quality outputs with increasing autonomy.
  • Apply established standards for code quality, scalability, and experimentation. Proactively identify opportunities for improvement within your workstream.
  • Collaborate Across Boundaries
  • Partner with product managers, designers, researchers, and business stakeholders to understand use cases and contribute to feasibility and solution design.
  • Support communication with non-technical audiences, helping translate technical work into business-relevant insights.
  • Explore Emerging AI/ML
  • Stay ahead of trends in ML, GenAI, LLMs, and AI tooling to identify opportunities for innovation.
  • Evaluate new models, frameworks, libraries, and platforms for rapid prototyping and experimentation.
  • Share insights and learnings with the broader AI community to foster continuous improvement

Requirements

What you’ll need
  • Strong proficiency in one, ideally a few, AI/ML areas.
  • Experience with public cloud platforms and their AI-related services.
  • Understanding AI/ML applications in the educational content contexts.
  • Ability to work independently on complex tasks and contribute meaningfully to team projects.
  • Good communication skills and comfort working with cross-functional stakeholders.

Benefits

Comp & perks
  • A front-row seat to enterprise AI transformation.
  • Opportunities to develop your expertise and grow
  • A collaborative, inclusive, and innovation-driven culture.
  • Access to cutting-edge tools, platforms, and thought leadership.
  • Mentorship and guidance from experienced AI practitioners and technical leaders.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI TechnologiesMachine LearningPrototypingCode Quality StandardsScalabilityExperimentationAI-Driven Learning ExperiencesContent GenerationAssessmentEmerging AI Tools
Soft Skills
Good CommunicationIndependenceCollaboration