Defence ML Engineer — Production-Grade AI

Faculty; United States; Hybrid; USD 93,000 - 159,000; Full time

Job summary

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You will bring ML models from lab to real-world production, shaping scalable software architecture and best practices.

Collaborate with clients and cross-functional teams to ensure feasible, timely, and high-quality ML systems. You will work on projects requiring UK Security Clearance (SC) eligibility, travel 2–4 days per week to client sites, and flexibility to work from our London office or

Qualifications

• Experience operationalising models with Scikit-learn, TensorFlow, or PyTorch.
• Strong Python and software engineering practices.
• Hands-on experience with cloud platforms (AWS/Azure/GCP), including architecture and security.
• Experience with Docker and Kubernetes for scale.
• Excellent communication and ability to translate ML concepts for stakeholders.
• Thrives in a fast-paced environment with autonomous ownership.

Responsibilities

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable solutions that accelerate ML delivery.
• Collaborate with engineers, data scientists, and commercial leads to solve client challenges.
• Lead technical scoping and architectural decisions for feasibility and impact.
• Define and implement deployment standards for ML at scale across projects.
• Advise customers and partners on ML concepts and architectures.

Skills

Full ML lifecycle

Python

Cloud platforms

Docker

Kubernetes

Statistical methods

Communication

Tools

Docker

Kubernetes

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Faculty is seeking a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You will bring ML models from lab to real-world production, shaping scalable software architecture and best practices.

Collaborate with clients and cross-functional teams to ensure feasible, timely, and high-quality ML systems. You will work on projects requiring UK Security Clearance (SC) eligibility, travel 2–4 days per week to client sites, and flexibility to work from our London office or