Faculty was founded in 2014 to build responsible AI solutions for diverse industries. We serve over 350 customers and value intellectual curiosity.
About The Role
As a Software Engineer in the AI Platform team, you will be the architect of the infrastructure that makes world‑class AI possible. Working closely with the Applied AI team, you’ll build and maintain data‑science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Engineers. You will own the platform that enables us to transition from exploration to production‑grade ML products, ensuring high‑performance, scalability, and seamless integration into diverse client environments.
What You’ll Be Doing
- 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.
Who We’re Looking For
- You are a Software Engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.
- You understand the nuances of the machine learning product lifecycle and have a clear vision for how to move models efficiently from exploration to production.
- You possess modern systems programming skills in Python or Go and are comfortable selecting the best‑fit technology for complex infrastructure challenges.
- You bring practical experience with containerisation and orchestration, specifically using Docker and Kubernetes 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.
Our Interview Process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos
We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations. Diversity of individuals fosters diversity of thought, strengthening our ability to deliver measurable positive impact.
Some Of Our Standout Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
Faculty was founded in 2014 to build responsible AI solutions for diverse industries. We serve over 350 customers and value intellectual curiosity.
About The Role
As a Software Engineer in the AI Platform team, you will be the architect of the infrastructure that makes world‑class AI possible. Working closely with the Applied AI team, you’ll build and maintain data‑science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Engineers. You will own the platform that enables us to transition from exploration to production‑grade ML products, ensuring high‑performance, scalability, and seamless integration into diverse client environments.
What You’ll Be Doing
- 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.
Who We’re Looking For
- You are a Software Engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.
- You understand the nuances of the machine learning product lifecycle and have a clear vision for how to move models efficiently from exploration to production.
- You possess modern systems programming skills in Python or Go and are comfortable selecting the best‑fit technology for complex infrastructure challenges.
- You bring practical experience with containerisation and orchestration, specifically using Docker and Kubernetes 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.
Our Interview Process
- Talent Team Screen (30 minutes)
- Pair Programming Interview (90 minutes)
- System Design Interview (90 minutes)
- Commercial Interview (60 minutes)
Our Recruitment Ethos
We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions, and sexual orientations. Diversity of individuals fosters diversity of thought, strengthening our ability to deliver measurable positive impact.
Some Of Our Standout Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
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