Senior AI Systems Engineer: Safe, Scalable ML

Faculty; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Faculty in London seeks a Senior Software Engineer to lead development and deployment of scalable ML systems for national security and enterprise clients. You will design production-grade ML software and infrastructure that meets rigorous ethical standards and security requirements.

You will bridge AI research and real-world impact, mentor engineers, and collaborate with cross-functional teams while partnering with Frontier Labs to strengthen practical AI safety leadership.

Qualifications

• Significant experience building and deploying secure and scalable ML systems.
• Experience with multi-agent tooling and AI safety evaluation procedures.
• Strong Python skills and ability to build robust, reusable systems.

Responsibilities

• Lead technical scoping and architectural decisions for high-impact ML systems.
• Design production-grade ML software, tools, and scalable infrastructure.
• Define and implement best practices for deploying machine learning at scale.
• Collaborate with engineers, data scientists, product managers, and commercial teams to solve client challenges.
• Mentor junior engineers and shape engineering culture.

Skills

Python

LLM applications

Multi-agent tooling

AI Safety

Software architecture

Cloud platforms

Tools

Docker

Kubernetes

AWS

Azure

GCP

TensorFlow

PyTorch

Job description

Faculty in London seeks a Senior Software Engineer to lead development and deployment of scalable ML systems for national security and enterprise clients. You will design production-grade ML software and infrastructure that meets rigorous ethical standards and security requirements.

You will bridge AI research and real-world impact, mentor engineers, and collaborate with cross-functional teams while partnering with Frontier Labs to strengthen practical AI safety leadership.