Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build secure and scalable cloud infrastructure for AI and ML workflows.
- Company: Join Faculty, a leader in human-centric AI solutions.
- Benefits: Diverse team, learning opportunities, and a collaborative environment.
- Why this job: Shape the future of AI while tackling real-world healthcare challenges.
- Qualifications: Experience with cloud providers, Infrastructure as Code, and containerised solutions.
- Other info: Work alongside brilliant minds and grow your skills in a dynamic setting.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Cloud Engineer role at Faculty. At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
About the Team: Faculty’s Life Science team is focused on building AI solutions which optimise the research and commercialisation of life‑changing therapies. We partner with major pharma firms, academic research centres, and MedTech start‑ups to design and deliver solutions that address critical healthcare challenges, democratising health for all.
About the Role: We're looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure and scalable cloud infrastructure that powers cutting‑edge data and machine learning workflows. Working in a cross‑functional team, you’ll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.
What You’ll Be Doing:
- 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.
Who We’re Looking For: You are pragmatic and outcome‑focused, balancing the big picture with the details to execute complex projects in the real world. You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done. You have a drive to learn, constantly exploring new technologies and novel applications for existing tools. You possess deep experience with at least one major cloud provider (AWS, Azure or GCP) and Infrastructure as Code, especially Terraform. You are experienced in building and deploying containerised solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices. You possess proficient knowledge of networking and cloud security. You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning and scoping.
What We Can Offer You: The Faculty team is diverse and distinctive, and we all come from different backgrounds. We are driven by intellectual curiosity and empower our employees to work with an impressive group of brilliant minds. 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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
Cloud Engineer employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Faculty on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the technical interview by brushing up on your cloud skills. Dive into AWS, Azure, or GCP documentation, and practice coding challenges related to Infrastructure as Code. Show us you can walk the talk!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your soft skills too! Being able to communicate effectively with both technical and non-technical stakeholders is key. Share examples of how you've done this in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Faculty team. Let’s get you that Cloud Engineer role!
We think you need these skills to ace Cloud Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Engineer role. Highlight your experience with cloud providers like AWS, Azure, or GCP, and showcase your skills in Infrastructure as Code and containerisation. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can help us tackle healthcare challenges. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. Demonstrating your hands-on experience with cloud infrastructure and machine learning workflows will definitely catch our eye.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Faculty
✨Know Your Cloud Stuff
Make sure you brush up on your knowledge of major cloud providers like AWS, Azure, or GCP. Be ready to discuss your experience with Infrastructure as Code, especially Terraform, and how you've used it in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex challenges you've tackled in previous roles. Faculty values a pragmatic approach, so think about how you balanced the big picture with the details to deliver effective solutions.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining your ideas clearly. Use simple language to describe technical concepts, and be ready to discuss how you gather requirements and plan projects.
✨Stay Curious and Open-Minded
Faculty is all about innovation, so demonstrate your drive to learn new technologies. Share any recent tools or open-source technologies you've explored and how they could enhance cloud infrastructure capabilities.
