Senior ML Engineer — Lead Production-Grade AI Systems

Faculty; City Of London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Faculty’s Life Science team is building AI solutions to optimise research and commercialisation of life-changing therapies. As a Senior Machine Learning Engineer, you’ll lead development and deployment of scalable, production-grade ML systems for diverse clients, ensuring ethical standards and robust performance.

You’ll mentor junior engineers, shape engineering culture, and partner with engineers, data scientists, product managers and commercial teams to translate complex concepts into

Qualifications

• Significant experience operationalising models built with TensorFlow or PyTorch.
• Deep software engineering expertise with Python and reusable systems.
• Hands-on experience with cloud platforms (AWS/Azure/GCP) including architecture, security, and infra.
• Experience with Docker and Kubernetes to build and manage scalable apps.
• Thrives in fast-paced, high-growth environments with ownership.
• Excellent communication, guiding technical teams and senior stakeholders.

Responsibilities

• Leading technical scoping and architectural decisions for high-impact ML systems
• Designing and building production-grade ML software, tools, and scalable infrastructure
• Defining and implementing best practices and standards for deploying machine learning at scale across the business
• Collaborating with engineers, data scientists, product managers, and commercial teams to solve client challenges
• Acting as a trusted technical advisor to customers and partners
• Mentoring and developing junior engineers, shaping our team's engineering culture and depth

Skills

TensorFlow

PyTorch

Python

ML lifecycle

Distributed systems

Production software

Client-facing communication

Education

Advanced degree in Computer Science/Math/ML

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty’s Life Science team is building AI solutions to optimise research and commercialisation of life-changing therapies. As a Senior Machine Learning Engineer, you’ll lead development and deployment of scalable, production-grade ML systems for diverse clients, ensuring ethical standards and robust performance.

You’ll mentor junior engineers, shape engineering culture, and partner with engineers, data scientists, product managers and commercial teams to translate complex concepts into