ML Engineer: Production AI for Security (Part-time)

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

Job summary

Faculty in the United Kingdom is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will bridge the gap between AI research and real-world impact by building scalable, production-grade machine learning systems and deploying ML software at scale.

Working with clients and cross-functional teams, you will champion technical feasibility, ensure seamless delivery, and collaborate with Frontier Labs to reinforce our leadership in practical AI

Qualifications

• Production ML systems built and deployed.
• Strong Python skills and engineering practices.
• Experience with cloud platforms (AWS/Azure/GCP) and security.
• Docker and Kubernetes experience for scalable apps.
• Familiar with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Excellent communicator to guide technical teams.

Responsibilities

• Building and deploying production-grade ML software, tools, and infrastructure.
• Creating reusable, scalable solutions for ML delivery and testing.
• Collaborating across engineers, data scientists and commercial leads.
• Leading technical scoping and architectural decisions.
• Defining and implementing ML deployment standards at scale.
• Advising customers and partners on ML concepts.

Skills

LLM development

Python

Software engineering

Communication

Autonomy

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Faculty in the United Kingdom is seeking a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will bridge the gap between AI research and real-world impact by building scalable, production-grade machine learning systems and deploying ML software at scale.

Working with clients and cross-functional teams, you will champion technical feasibility, ensure seamless delivery, and collaborate with Frontier Labs to reinforce our leadership in practical AI