Senior ML Engineer - Lead Production AI Systems

Faculty Fellowship; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Faculty is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable ML software and infrastructure that meets rigorous standards.

This cross-functional role blends technical leadership with client-facing collaboration, mentorship, and hands-on model deployment at scale.

Qualifications

• Experience operationalising ML models using TensorFlow or PyTorch.
• Proficient in building robust, scalable ML infrastructure in production.
• Strong communication and client-facing collaboration skills.

Responsibilities

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

Skills

Python

ML lifecycle

Leadership

Client-facing

Communication

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty is seeking a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI systems for diverse clients. You will design, build, and deploy scalable ML software and infrastructure that meets rigorous standards.

This cross-functional role blends technical leadership with client-facing collaboration, mentorship, and hands-on model deployment at scale.