Cloud Engineer (Machine Learning)

About Faculty

Faculty transforms organisational performance through safe, impactful and human-led AI. 

We are Europe’s leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. 

We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. 

Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. 

Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. 

Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. 

AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely.

What You'll Be Doing


As a Cloud Engineer at Faculty, you’ll help our customers by building robust, secure and scalable Cloud Infrastructure to support their data and machine learning workflows.


You are engineering-focused, with a keen interest in machine learning and AI and will work as part of a cross-functional team, supporting both technical and non-technical stakeholders to deploy ML to solve real-world problems.


The work you do will help our customers solve a broad range of high-impact problems in the Life Sciences space - examples of which can be found here.


We’re a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

  • Working with stakeholders to champion Cloud Engineering best practices, standards and code repos; enabling Machine Learning Engineers and Data Scientists to take ownership of their cloud deployments.
  • Lead on designing and managing cloud architecture tailored for machine learning workloads
  • Proactively contribute to Faculty’s growth by working with our customers to recommend how they can leverage Cloud infrastructure to solve their problems.
  • Actively look out for the best open source technologies to be used in the development of Faculty's infrastructure
  • Create and maintain reusable libraries that are used company-wide.


Who we're looking for


At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.


We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen.


To succeed in this role, you'll need demonstrable experience in some of the following:

  • Experience designing and implementing cloud-native applications, preferably in AWS but Azure and GCP experience is great too!
  • Strong understanding of cloud architecture principles, including scalability, performance, and security.
  • A GitOps mindset:

    • Infrastructure as Code (IaC) using Terraform
    • CI/CD, for example ArgoCD, Gitlab Pipelines, CircleCI
  • Containerisation and deployment with Docker or Kubernetes
  • Networking and Cloud security fundamentals
  • Experience with MLOps using MLFlow or other similar tools, 
  • Python, NodeJS or other scripting languages



What we can offer you


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.

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logo Faculty Machine Learning Engineering FullTime 🌎 Remote 📍 Hybrid - London Apply Now
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