Senior ML Engineer - AI Safety & Production Systems

Fdetimes; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Faculty is seeking a Senior Machine Learning Engineer to lead development and deployment of production-grade AI systems for diverse clients. You’ll architect scalable ML software, ensure ethical standards, and bridge research with real-world impact while guiding cross-functional teams.

You’ll mentor engineers, define technical strategy, and collaborate with Frontier Labs to advance safe AI practices, with emphasis on security, reliability, and measurable outcomes.

Qualifications

• Extensive experience building and deploying secure, scalable LLM apps.
• Strong Python development and software engineering practices.
• Hands-on cloud architecture and production ML systems experience.

Responsibilities

• Lead scoping and architectural decisions for high-impact ML systems.
• Design and build production-grade ML software and scalable infrastructure.
• Define best practices for deploying ML at scale across the business.

Skills

LLM deployment

Python

Cloud platforms

Docker & Kubernetes

TensorFlow

PyTorch

AI Safety evaluation

Software engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty is seeking a Senior Machine Learning Engineer to lead development and deployment of production-grade AI systems for diverse clients. You’ll architect scalable ML software, ensure ethical standards, and bridge research with real-world impact while guiding cross-functional teams.

You’ll mentor engineers, define technical strategy, and collaborate with Frontier Labs to advance safe AI practices, with emphasis on security, reliability, and measurable outcomes.