Platform Engineer
Faculty AI
Platform Engineer
Faculty AI
Enterprise AI software and consulting services
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.
As an engineer in the Applied AI Platform Team, you will provide the internal delivery platform that makes world-class AI possible.
You will take ownership of a collection of Cloud infrastructure, tools, templates, and processes that technical teams use to launch and accelerate projects.
Working closely with the Applied AI team, you’ll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Machine Learning Engineers.
You will encourage engineering best practices, research new technologies, design and build new infrastructure and promote ways of working that enables us to transition from complex exploration to full-stack, production-grade machine learning products.
Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability.
Contributing to the continuous evolution of our technology stack, from building new features in our notebook development environments to refining model monitoring systems.
Collaborating with a small, fast-moving team of customer-facing technologists to design and build the infrastructure our delivery teams need to succeed.
Designing and implementing infrastructure-as-code and DevSecOps processes to support distributed, containerised microservices architectures.
Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients.
Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning.
You are an engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.
You being experience and knowledge of at least one of the major cloud providers (AWS, GCP or Azure)
You possess modern systems programming skills in Python or Go, and you are comfortable selecting the best-fit technology for complex infrastructure challenges.
You bring practical experience with Docker containerisation and orchestration, to manage distributed systems at scale.
You have a strong background in Infrastructure-as-Code (IaaC) using tools like Terraform or CloudFormation, combined with a deep interest in DevSecOps practices.
You thrive in small, ambitious teams where you can take high levels of ownership and communicate effectively with both technical and non-technical peers.
Talent Team Screen (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial Interview (60 minutes)
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.
A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.
Enterprise AI software and consulting services
Faculty AI provides AI as a service that combines strategy, software and hands-on delivery to help organizations implement AI solutions across sectors such as government, healthcare, retail and energy. Its Frontier decision intelligence software helps clients simulate and understand cause‑and‑effect relationships, while Faculty supports data work, model development and deployment through consulting and engineering delivery. The company differentiates itself by offering end‑to‑end, enterprise‑scale AI implementations centered on decision intelligence, backed by a track record with high‑profile clients like the NHS, Red Bull, Virgin Media and Moonpig. Its goal is to help organizations become data‑driven by deploying scalable AI systems that improve efficiency, decision accuracy and operational performance, while expanding internationally.
Explore more opportunities at Faculty AI