AI Cloud Platform Engineer - Hybrid & Infra for ML
Faculty About the role
Faculty is seeking a Platform Engineer to design, build, and deploy robust cloud infrastructure that underpins AI and ML workflows for our customers.
You will work with Azure and AWS, implement infrastructure as code with Terraform, and deploy containerised solutions using Docker and Kubernetes, supported by strong CI/CD and Git Ops practices.
Hybrid working and client-facing collaboration are key. #J-18808-Ljbffr
Your tasks
Design and deploy cloud infrastructure for AI and ML workflows using Azure and AWS.
Your profile
Experience with cloud platforms, Terraform, Docker, and Kubernetes is essential.
What's also included
Enjoy hybrid working, competitive salary, and opportunities for professional growth.
Tech stack & ways of working
AI Cloud Platform Engineer - Hybrid & Infra for ML employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
Your perspectives
Be at the forefront of AI and ML, making a real difference in tech.
