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Faculty AI

Enterprise AI software and consulting services

Associate

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Experience working on AI implementation or data-intensive projects in a commercial setting.
  • Experience working in a life sciences company or with life sciences clients.
  • External client-facing experience and a record of building trusted relationships that contributed to project success.
  • Understanding of Agile and related methodologies, including iterative development and continuous delivery.
  • Ability to analyse and synthesise complex information and communicate ideas clearly.
  • Ability to take initiative and find solutions in ambiguous situations.

Responsibilities

  • Manage individual work streams to support the successful delivery and implementation of bespoke AI solutions.
  • Work alongside life sciences stakeholders to understand critical mission challenges and user needs.
  • Conduct open-source analysis to support the development of AI tools.
  • Translate complex operational requirements into clear user stories for delivery and engineering teams.
  • Design and test workflows that support user-centric decision-making in high-stakes environments.
  • Collaborate with technical teams to ensure projects run smoothly and solutions meet customer needs.
  • Contribute to internal thought leadership, strategy, and capability development across 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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