About this role
In London, UK, Faculty seeks a Lead Machine Learning Engineer to guide technical direction for complex AI and machine learning projects within the Public Services Business Unit. This position suits an experienced technical leader who wants to deliver large-scale AI-powered platforms in high-risk environments and support government and public sector advancements.
Role Overview
As a Lead Machine Learning Engineer at Faculty, the professional will establish technical roadmaps and architectural standards for complex AI applications. The role involves overseeing the delivery of large-scale platforms, managing team priorities, coaching engineering staff, and defending architectural choices to senior stakeholders.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Established in 2014, Faculty builds and deploys responsible AI to transform performance for global customers across government, finance, retail, energy, life sciences, and defence. The organization focuses on human-centric technology and operates a Public Services Business Unit dedicated to leveraging artificial intelligence for the public good, including work with the NHS and strategic government initiatives.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is based in London, UK, with potential requirements to work on site with clients from time to time.
What security clearance is needed for this role?
Due to the nature of the government client work, candidates may need to be eligible for UK Security Clearance (SC).
What frameworks and tools are used in this role?
The position involves working with Kubernetes, TensorFlow, PyTorch, CI/CD pipelines, and building APIs.
What does the interview process look like?
The interview process includes a talent team screen, an introduction to the hiring manager, a pair programming interview, a system design interview, and a commercial and leadership interview.