Salary: £57,000 - 97,000 per year
Requirements: - We are looking for a Software Engineer who is passionate about building internal tools and creating foundational systems that help others excel.
- We want someone who understands the machine learning product lifecycle and how to move models efficiently from exploration to production.
- We are looking for strong systems programming skills in Python or Go, with the ability to choose the best technology for complex infrastructure challenges.
- We want practical experience with containerisation and orchestration, specifically Docker and Kubernetes for managing distributed systems at scale.
- We are looking for a strong background in Infrastructure as Code using tools like Terraform or CloudFormation, with a deep interest in DevSecOps practices.
- We want someone who thrives in small, ambitious teams, takes high ownership, and communicates effectively with both technical and non-technical peers.
Responsibilities: - We will own our existing deployment and MLOps tooling to keep software delivery a key driver of quality and reliability.
- We will contribute to the evolution of our technology stack, including new features in notebook development environments and improved model monitoring systems.
- We will collaborate with a small, fast-moving team of customer-facing technologists to design and build the infrastructure our delivery teams need.
- We will design and implement infrastructure as code and DevSecOps processes for distributed, containerised microservices architectures.
- We will integrate our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to support our global clients.
- We will scale our internal enablement capabilities and remove technical friction to accelerate machine learning deployment.
Technologies: - AI
- AWS
- Azure
- Cloud
- DevSecOps
- Docker
- Excel
- GCP
- Support
- Kubernetes
- Machine Learning
- MLOps
- Python
- Terraform
- microservices
- Architect
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 performance through human-centric AI. We build and deploy responsible AI for clients across government, finance, retail, energy, life sciences and defence, and we are growing fast. You will join our AI Platform team in London, working in a hybrid setup alongside Applied AI and a team of over 100 Data Scientists and Engineers. We offer benefits including unlimited annual leave, private healthcare and dental, enhanced parental leave, family-friendly flexibility, flexible working, Sanctus coaching, and hybrid working. We value intellectual curiosity, diversity of thought, and measurable positive impact, and we encourage applications from people of all backgrounds. Our interview process includes a talent team screen, pair programming interview, system design interview, and commercial interview. We are open to part-time hours, and applications are reviewed by a human.
last updated 36 week of 2026