Lead Specialist, AI Scientist – LLMs, Models Training and Agents

Pearson VUE

Lead Specialist, AI Scientist at Pearson focusing on LLMs and AI transformation. Leading innovative projects to drive enterprise-level AI initiatives in education while collaborating with cross-functional teams.

Posted 7/8/2026full-timePoznan • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in AI/ML, particularly in educational content applications, while leading technical efforts and mentoring peers in a fast-paced R&D environment. Capable of translating complex technical concepts into business impact through effective communication with cross-functional stakeholders.

Highest-signal resume keywords

AI/ML ProficiencyPublic Cloud PlatformsTechnical LeadershipCommunication SkillsPrototyping and Experimentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI TechnologiesMachine LearningPrototypingBack-End DevelopmentFront-End DevelopmentCode Quality StandardsScalabilityR&D MethodologiesAI-Driven Learning ExperiencesContent Generation

Soft Skills

MentoringCollaborationTranslating Technical ConceptsFacilitating ConversationsProblem Solving

Tools & Technologies

AI ToolingFrameworksLibrariesPublic Cloud AI ServicesEmerging AI Technologies

Industry Keywords

Educational ContentPersonalized LearningUse Case DevelopmentR&D LeadershipInnovation

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Build Prototypes That Matter
Lead the 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.
Drive R&D Leadership
Act as a hands-on technical lead across R&D efforts, setting standards for code quality, scalability, and experimentation.
Guide decisions and mentor junior peers through complex challenges.
Collaborate Across Boundaries
Partner closely with product managers, designers, researchers, and business stakeholders to shape use cases and validate feasibility.
Facilitate conversations with non-technical audiences, translating their needs into PoC ideas, and R&D results into business impact.
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 of AI/ML applications in the educational content contexts.
Ability to lead technical efforts and mentor peers in a fast-paced R&D environment.
Excellent communication skills and comfort working with cross-functional stakeholders.

Benefits

Comp & perks

A front-row seat to enterprise AI transformation.
Opportunities to influence strategy and accelerate product innovation.
A collaborative, inclusive, and innovation-driven culture.
Access to cutting-edge tools, platforms, and thought leadership.