Lead Specialist, AI Scientist

Pearson VUE

Lead Specialist engaging in AI technologies for enhanced personalized learning experiences at Pearson. Designing prototypes and conducting research in AI/ML innovation.

Posted 7/12/2026full-timePoznan • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and ML technologies, particularly in LLMs and machine learning applications within educational contexts. Capable of leading technical projects, mentoring peers, and effectively communicating complex ideas to diverse stakeholders.

Highest-signal resume keywords

AI/ML ExpertiseLLMs and SLMsMachine Learning ApplicationsPublic Cloud PlatformsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningComputer VisionReinforcement LearningPrototypingAI Component DevelopmentCode Quality StandardsScalabilityExperimentationAI Tooling

Soft Skills

Excellent CommunicationMentoringCross-Functional Collaboration

Industry Keywords

Content GenerationPersonalized Learning ExperiencesR&D EnvironmentEducational Content ContextsInnovation Opportunities

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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.
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.
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.
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 at least one of the following AI/ML areas, with expertise across both being highly advantageous:
LLMs, SLMs, Agents
Machine Learning (Deep Learning, Computer Vision, Reinforcement Learning, etc.)
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.