About this role
This position suits an experienced practitioner who wants to lead the creation and implementation of artificial intelligence systems for clients across sectors such as government, finance, and retail. Based in London, the Senior Machine Learning Engineer role involves guiding technical architecture and mentoring team members at Faculty.
Role Overview
Faculty is hiring a Senior Machine Learning Engineer in London to build and launch production-grade software and infrastructure. The position requires cross-functional collaboration and direct interaction with clients to address critical operational challenges.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Founded in 2014, Faculty assists global customers with performance transformation through human-centric artificial intelligence. The organization develops responsible technology for clients in government, finance, retail, energy, life sciences, and defence.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the role located?
The position is based in London, UK.
What technical frameworks are mentioned for model operationalisation?
The posting specifies frameworks like TensorFlow or PyTorch.
What cloud platforms are required?
Hands-on experience with cloud platforms such as AWS, Azure, and GCP is requested.
What container and orchestration tools are needed?
Experience with Docker and Kubernetes is required.
What does the interview process include?
The 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.