# Lead Machine Learning Engineer (Safety)

**Company**: Faculty
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/faculty/a785e1ff-6d97-49b0-82ea-1a85026a70a7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8a35f78d-bd3

## Description

As a Lead Machine Learning Engineer at Faculty, you'll drive the technical strategy, architecture, and deployment of cutting-edge, secure AI systems across high-stakes domains.

Bridging AI research and production impact, you'll set the benchmark for engineering excellence and operationalise scalable ML infrastructure.

Working alongside Frontier Labs, you will champion practical, safety-first AI frameworks, model capability evaluations, and multi-agent systems.

You will act as a principal advisor to client leadership, mentor engineering talent, and steer cross-functional teams to solve critical, real-world AI challenges.

Responsibilities:

- Steering technical strategy, system architecture, and rigorous capability testing for complex ML systems and Frontier AI models

- Architecting production-grade, secure ML software, orchestration tools, and scalable cloud infrastructure

- Establishing company-wide standards and best practices for safe, reliable, and ethical machine learning deployment at scale

- Collaborating with cross-functional teams and executive stakeholders to translate high-impact client needs into resilient AI solutions

- Advising senior clients and partners as a trusted AI safety and technical authority, articulating complex strategies clearly

- Mentoring and developing engineering talent, actively elevating team capabilities and nurturing an inclusive, high-performing culture

- Partnering with Frontier Labs to advance safety evaluation procedures, multi-agent harness tooling, and robust AI governance frameworks

Requirements:

- Significant leadership experience designing, deploying, and securing scalable LLM applications, multi-agent frameworks, and AI safety evaluation processes

- Exceptional software engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems

- Deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity

- Mastery over the full ML lifecycle, with proven expertise operationalising production systems using PyTorch, TensorFlow, or similar frameworks

- Experience in fast-paced, high-growth environments, bringing autonomy, strategic ownership, and a track record of guiding technical decisions

- Excellent communication skills, translating complex technical risks into clear strategic direction

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- AWS
- Azure
- GCP
- Docker
- Kubernetes

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty/a785e1ff-6d97-49b0-82ea-1a85026a70a7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)