At a Glance
- Tasks: Design and build robust cloud infrastructure for AI and ML workflows.
- Company: Join a forward-thinking faculty focused on applied AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Empower data scientists and ML engineers while working with cutting-edge technologies.
- Qualifications: Experience with Terraform, Docker, Kubernetes, and CI/CD practices.
The predicted salary is between 60000 - 80000 £ per year.
Faculty is seeking a Platform Engineer to build the backbone of applied AI, designing, building, and deploying robust cloud infrastructure for data and ML workflows. You will work cross-functionally to empower data scientists and ML engineers to deploy their work effectively.
You will collaborate with stakeholders from idea through shipping, contribute to internal best practices, and continuously improve infrastructure with Terraform, Docker, and Kubernetes, backed by strong CI/CD/GitOps.
AI Platform Engineer - Cloud Infra & Automation (Hybrid) 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.
