About this role
Salary: £57,000 - 97,000 per year
Requirements: We need you to understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.We need strong Python skills and solid experience in software engineering best practices.We need hands-on experience with cloud platforms and infrastructure such as AWS, Azure, or GCP, including architecture and security.We need experience with container and orchestration tools such as Docker and Kubernetes to build and manage applications at scale.We need you to be comfortable with core ML concepts, including probability, statistics, and common learning techniques.We need excellent communication skills, with the ability to guide technical teams and advise non-technical stakeholders.We need you to thrive in a fast-paced environment and enjoy the autonomy to own scope and deliver solutions.Because of the nature of our Government client work, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time. Responsibilities: We build and deploy production-grade ML software, tools, and infrastructure.We create reusable, scalable solutions that accelerate the delivery of ML systems.We collaborate with engineers, data scientists, and commercial leads to solve critical client challenges.We lead technical scoping and architectural decisions to ensure project feasibility and impact.We define and implement our standards for deploying machine learning at scale.We act as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.We bring machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices.We work with clients and cross-functional teams to ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. Technologies: AIAWSAzureCloudDockerGCPSupportKubernetesMachine LearningPyTorchPythonSecurityTensorFlow More:
We established Faculty in 2014 because we believed AI would be the most important technology of our time. Since then, we have worked with over 350 global customers to transform their performance through human-centric AI. We do not chase hype cycles; we innovate, build, and deploy responsible AI that makes a measurable impact. Our teams bring deep technical, product, and delivery expertise across government, finance, retail, energy, life sciences, and defence. Our National Security and AI Safety business unit focuses on advancing the responsible development and deployment of AI to support national security and global stability, working at the frontier of high-stakes, high-impact missions. We partner with Government and leading technology organisations to help ensure AI is secure, trustworthy, and safe. This is a full-time role based in London, with hybrid working, flexible working, family-friendly flexibility, unlimited annual leave, private healthcare and dental, enhanced parental leave, Sanctus coaching, and an open approach to part-time hours.
last updated 36 week of 2026