Posted:
1/27/2025, 5:52:15 AM
Location(s):
London, England, United Kingdom ⋅ England, United Kingdom
Experience Level(s):
Mid Level
Field(s):
AI & Machine Learning ⋅ DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Hybrid
At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.
About the role:
What we’re looking for:
An software engineer who loves building tools to enable others, understanding their impact, and improving them
Experience of the machine learning product lifecycle and how data scientists go from exploration to deployed models
Modern systems programming in at least one programming language e.g Python, Go and Scala
Infrastructure-as-code and DevSecOps in one or more major cloud environments.
Experience working as part of a small, fast-moving team
Distributed, containerised microservices architectures: docker, kubernetes
Specifics that will help:
Kubernetes cluster management using kubectl or kops
IaaC: CloudFormation, Terraform
DevSecOps: GitLab CI/CD, Helm
MLOps using MLFlow, Jupyter notebooks.
Programming in Scala and Python: Some of our existing tooling is in Scala, and python is the language of our data science workflows, but we’re open to using the right technologies for the job
Our systems run in AWS, but we’re looking at how to integrate with other cloud providers so experience in more than one will help.
Experience in a platform/internal enablement team
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally.
Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people.
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.
Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.
Website: https://faculty.ai/
Headquarter Location: London, England, United Kingdom
Employee Count: 251-500
Year Founded: 2014
IPO Status: Private
Last Funding Type: Non-equity Assistance
Industries: Artificial Intelligence (AI) ⋅ Consumer Electronics ⋅ Electronics ⋅ Information Technology ⋅ Machine Learning ⋅ Software