Senior ML Engineer: Scalable, Responsible AI

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

Job summary

Faculty is seeking a Senior Machine Learning Engineer to lead development and deployment of cutting-edge AI systems for government, finance, retail and other sectors. You will design, build and deploy scalable ML software and infrastructure that meets rigorous operational and ethical standards.

This role requires deep ML lifecycle expertise, strong Python and software engineering skills, and experience with cloud platforms and container orchestration.

Qualifications

• Experience in deploying production-grade ML systems.
• Strong software engineering fundamentals and reusable architectures.
• Ability to lead technical scoping and architectural decisions for high‑impact ML.
• Experience collaborating with cross-functional teams and clients.

Responsibilities

• Lead development and deployment of scalable ML systems for diverse clients.
• Design, build and deploy production‑grade ML software and infrastructure.
• Define and implement best practices for deploying ML at scale.
• Collaborate with engineers, data scientists, product managers and commercial teams to solve client challenges.
• Mentor junior engineers and shape engineering culture.

Skills

TensorFlow

PyTorch

Python

AWS

Azure

GCP

Docker

Kubernetes

ML lifecycle

Tools

Docker

Kubernetes

Job description

Faculty is seeking a Senior Machine Learning Engineer to lead development and deployment of cutting-edge AI systems for government, finance, retail and other sectors. You will design, build and deploy scalable ML software and infrastructure that meets rigorous operational and ethical standards.

This role requires deep ML lifecycle expertise, strong Python and software engineering skills, and experience with cloud platforms and container orchestration.