Senior ML Engineer — Build Production-Grade AI at Scale

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

Job summary

Faculty is seeking a Senior Machine Learning Engineer in the UK 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 operational and ethical standards.

This role requires technical leadership, hands-on engineering, and confident client-facing communication to translate complex concepts into actionable strategies while mentoring junior engineers and shaping our team’s depth.

Qualifications

• Experience with end-to-end ML project lifecycle from data prep to deployment.
• Strong Python programming skills and software engineering practices.
• Proven ability to design scalable ML systems with production-grade tooling.

Responsibilities

• Lead development and deployment of production-grade ML systems for diverse clients.
• Design and implement scalable ML software and infrastructure.
• Define best practices for deploying machine learning at scale across the business.
• Collaborate with engineers, data scientists, product managers and commercial teams.
• Mentor junior engineers and contribute to engineering culture.

Skills

ML lifecycle

Python

Cloud platforms

Docker/Kubernetes

Leadership

Client-facing communication

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty is seeking a Senior Machine Learning Engineer in the UK 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 operational and ethical standards.

This role requires technical leadership, hands-on engineering, and confident client-facing communication to translate complex concepts into actionable strategies while mentoring junior engineers and shaping our team’s depth.