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Faculty AI

Enterprise AI software and consulting services

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Extensive experience in application development and a deep understanding of modern system architecture and design patterns.
  • Proficiency in Python and at least one compiled language, with a proven track record of shipping code to paying customers.
  • Hands-on experience with DevOps tools, including GitLab CI/CD and Docker, and deployment on bare metal or Kubernetes.
  • Eligibility for UK Security Clearance (SC).

Responsibilities

  • Lead and mentor a dedicated squad of engineers to ensure delivery of high-quality, scalable software.
  • Design and build complex components of client deliverables across backend and edge/Internet of Things domains.
  • Implement robust continuous integration and continuous delivery processes and containerisation strategies using Docker and Kubernetes.
  • Ship production-ready code in Python and compiled languages such as Rust, C++, or Go.
  • Collaborate with cross-functional teams to integrate advanced artificial intelligence and machine learning capabilities into software architectures.
  • Distill complex technical concepts into clear, actionable insights for technical and non-technical stakeholders.

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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