Chief Chemistry Architect for AI‑Driven Materials in London

Chief Chemistry Architect for AI‑Driven Materials in London

London Full-Time 72000 - 88000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the chemistry team and drive strategy in AI-driven materials development.
  • Company: Join PhysicsX Ltd., a pioneering company reshaping engineering with AI.
  • Benefits: Exciting travel opportunities, competitive salary, and a chance to shape the future.
  • Other info: Dynamic role with international exposure and significant impact on the industry.
  • Why this job: Be at the forefront of AI innovation in chemistry and materials science.
  • Qualifications: Expertise in atomistic modelling and machine learning required.

The predicted salary is between 72000 - 88000 £ per year.

Physics X Ltd. is re-architecting engineering with AI-driven chemistry and materials capabilities.

This role leads the chemistry team, directing strategy across capability development and customer-focused work, with hands-on depth in atomistic modelling and ML interatomic potentials.

You’ll travel to customer sites and Physics X offices internationally, helping shape an AI-native engineering company at a formative stage.

Chief Chemistry Architect for AI‑Driven Materials in London employer: PhysicsX Ltd.

At PhysicsX Ltd, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through mentorship opportunities and a focus on professional development, ensuring that our team members thrive while working on cutting-edge technology in a supportive environment. Join us to be part of a forward-thinking company that values your contributions and empowers you to make a meaningful impact in the world of AI-driven platforms.

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Contact Details:

PhysicsX Ltd. Recruitment Team

We think you need these skills to ace Chief Chemistry Architect for AI‑Driven Materials in London

Leadership Skills
Strategy Development
Hands-on Experience in Atomistic Modelling
Machine Learning for Interatomic Potentials
Customer Engagement
International Travel
AI-driven Chemistry Knowledge