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Faculty AI

Enterprise AI software and consulting services

Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Demonstrated experience building scalable, maintainable, and well-tested web applications using React.
  • High proficiency in foundational web technologies, including ES6 JavaScript, HTML, and CSS3.
  • Hands-on experience writing TypeScript or other typed languages and contributing to robust codebases.
  • Experience in data visualization techniques and implementations, such as D3.
  • Exposure to deploying applications into the cloud using platforms such as AWS, GCP, or Azure.

Responsibilities

  • Collaborate with data scientists, data engineers, and design specialists to build client-facing products.
  • Prioritize, plan, and coordinate frontend features, and communicate them to internal and external stakeholders.
  • Set up and maintain development and deployment infrastructure for the dedicated frontend team.
  • Maintain and enforce technical best practices and standards across Faculty's frontend capacity.
  • Create and maintain reusable component libraries for use in projects company-wide.
  • Provide training, mentoring, and onboarding support for new frontend engineers.
  • Act as the go-to authority for frontend software engineering within the team.

About the Company

Faculty AI

Enterprise AI software and consulting services

Faculty AI provides AI as a service that combines strategy, software and hands-on delivery to help organizations implement AI solutions across sectors such as government, healthcare, retail and energy. Its Frontier decision intelligence software helps clients simulate and understand cause‑and‑effect relationships, while Faculty supports data work, model development and deployment through consulting and engineering delivery. The company differentiates itself by offering end‑to‑end, enterprise‑scale AI implementations centered on decision intelligence, backed by a track record with high‑profile clients like the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data‑driven by deploying scalable AI systems that improve efficiency, decision accuracy and operational performance, while expanding internationally.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$56.5M
Headquarters
London, United Kingdom
Founded
2014

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