Faculty · Enterprise software
Lead Machine Learning Engineer (Safety)
- London (Hybrid)
- Full-time
AI roleMachine LearningTrains models
Still open on Faculty's site · checked 4 hours ago
- Level
- Lead or manager
- Posted
Requirements
As written by Faculty · Read the original
Who we're looking for
You have significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes.
You bring exceptional software engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems.
You demonstrate deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity.
You possess mastery over the full ML lifecycle, with proven expertise operationalising production systems using PyTorch, TensorFlow, or similar frameworks.
You excel in fast-paced, high-growth environments, bringing autonomy, strategic ownership, and a track record of guiding technical decisions.
You communicate persuasively with both technical teams and senior non-technical stakeholders, translating complex technical risks into clear strategic direction.
Skills
Stack
- Python
- PyTorch
- TensorFlow
- AWS
- Google Cloud
- Azure
- Kubernetes
- Docker
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
