Machine Learning Engineer

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.

Responsibilities

Building and deploying production-grade ML software, tools, and infrastructure; Creating reusable, scalable solutions that accelerate the delivery of ML systems; Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges; Leading technical scoping and architectural decisions to ensure project feasibility and impact; Defining and implementing Faculty's standards for deploying machine learning at scale; Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders

Requirements

Understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch; Strong Python skills and solid experience in software engineering best practices; Hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security; Experience with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale; Comfortable with core ML concepts, including probability, statistics, and common learning techniques; Excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders; Thrives in a fast-paced environment and enjoys the autonomy to own scope, solve and deliver solutions; Eligibility for UK Security Clearance (SC) may be needed