Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy secure cloud infrastructure for AI workflows.
- Company: Leading AI solution provider in the UK with a focus on innovation.
- Benefits: Flexible working arrangements and a commitment to diversity.
- Why this job: Join a dynamic team tackling complex machine learning challenges.
- Qualifications: Experience with major cloud providers and strong CI/CD practices.
- Other info: Emphasis on continuous learning and career development.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI solution provider in the UK is seeking a Cloud Engineer to design and deploy secure and scalable cloud infrastructure that enhances AI workflows. This role emphasizes collaboration with multidisciplinary teams to address complex challenges in machine learning.
Candidates should have substantial experience with a major cloud provider, strong CI/CD practices, and a commitment to continuous learning. The company promotes diversity and offers flexible working arrangements.
Cloud Engineer – AI Infrastructure & ML Deployments employer: Faculty AI
Contact Detail:
Faculty AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Engineer – AI Infrastructure & ML Deployments
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in cloud infrastructure and machine learning. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around CI/CD practices and cloud services. Practice common interview questions and be ready to discuss how you've tackled complex challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Cloud Engineer – AI Infrastructure & ML Deployments
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud infrastructure and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your CI/CD Knowledge: Since strong CI/CD practices are key for this position, make sure to mention any tools or methodologies you’ve used. We love seeing candidates who can demonstrate their hands-on experience in this area!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Faculty AI
✨Know Your Cloud Provider Inside Out
Make sure you’re well-versed in the major cloud provider relevant to the role. Brush up on their services, features, and best practices for deploying secure and scalable infrastructure. Being able to discuss specific examples of how you've used these services in past projects will really impress.
✨Showcase Your CI/CD Expertise
Prepare to talk about your experience with Continuous Integration and Continuous Deployment. Have examples ready that demonstrate how you've implemented CI/CD pipelines in previous roles, and be ready to discuss the tools you used and the challenges you faced.
✨Emphasise Collaboration Skills
Since this role involves working with multidisciplinary teams, be prepared to share experiences where you successfully collaborated with others. Highlight any cross-functional projects you've been part of and how you contributed to solving complex challenges in machine learning.
✨Demonstrate Your Commitment to Learning
The company values continuous learning, so come armed with examples of how you stay updated with industry trends and technologies. Whether it’s through online courses, certifications, or personal projects, showing your passion for growth will resonate well with the interviewers.
