Platform Engineer
Job description
Platform Engineer at Faculty responsible for designing, building and deploying secure, scalable cloud infrastructure for AI and ML workflows within the Life Sciences team. The role supports data scientists and ML engineers in delivering AI solutions for pharma, academic research centres and MedTech start-ups.
At a glance
- Employment
- Full-time
- Work mode
- Remote · London
What you'll do
- Building robust, secure, and scalable cloud infrastructure for AI and ML workflows.
- Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping.
- Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos.
- Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.
- Creating and maintaining reusable, company-wide libraries and infrastructure-as-code.
- Researching and integrating the best open-source technologies to enhance Faculty's infrastructure capabilities.
What we're looking for
- Pragmatic and outcome-focused, balancing the big picture with the details to execute complex projects in the real world.
- Thinks scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done.
- Drive to learn, constantly exploring new technologies and novel applications for existing tools.
- Deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.
- Experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices.
- Proficient knowledge of Networking and Cloud Security.
- Excels at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.
Your team
Life Sciences
Faculty's Life Sciences team builds AI solutions which optimise the research and commercialisation of life-changing therapies, partnering with major pharma firms, academic research centres and MedTech start-ups.
How to get hired
- 1Talent Team Screen (30 minutes)
- 2Pair Programming Interview (90 minutes)
- 3System Design Interview (90 minutes)
- 4Commercial Interview (60 minutes)
Apply
About Faculty
Faculty works with global customers to transform their performance through human-centric AI, innovating, building and deploying responsible AI across government, finance, retail, energy, life sciences and defence.
Mission
We established Faculty in 2014 because we thought that AI would be the most important technology of our time.
Key facts
- 2014
- Worked with over 350 global customers
- Clients span government, finance, retail, energy, life sciences and defence
- Uses an AI note-taker (Metaview) in interviews
- Every application is reviewed by a human, never decided by AI
What they value
- Diversity of individuals fosters diversity of thought
- Seeking truth
- Deep intellectual curiosity
- Measurable positive impact