About this role
Faculty is hiring a Senior Machine Learning Engineer in London, UK, to build and deploy responsible AI systems for public services and government clients. This position suits an experienced practitioner with deep software engineering and client-facing skills who wants to drive impactful public sector projects.
Role Overview
The Senior Machine Learning Engineer leads the technical development and deployment of machine learning applications for various clients within the Public Services Business Unit. The role involves designing scalable infrastructure, establishing engineering standards, and advising external partners on technical strategies.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Faculty was established in 2014 to focus on human-centric artificial intelligence and has worked with over 350 global customers. The organization builds responsible technology across government, finance, retail, energy, life sciences, and defence sectors. The Public Services Business Unit concentrates on utilizing artificial intelligence to benefit individual citizens, inform strategic government decisions, optimize the National Health Service, and reduce bureaucratic backlogs.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is based in London, UK, with occasional on-site work required with government clients.
What clearance is needed for this position?
Candidates may need to be eligible for UK Security Clearance due to the nature of the work with government clients.
What does the interview process look like?
The interview process consists of a 30-minute talent team screen, a 90-minute pair programming interview, a 90-minute system design interview, and a 60-minute commercial interview.
What technical frameworks and tools are required?
The role requires experience with Python, machine learning frameworks like TensorFlow or PyTorch, cloud platforms such as AWS, Azure, or GCP, and container and orchestration tools like Docker and Kubernetes.
Is remote work or part-time hours an option?
The posting states that the company is open to conversations about part-time hours, and work includes occasional on-site visits with government clients in London.