Platform Engineer: Hybrid AI Cloud & MLOps

Platform Engineer: Hybrid AI Cloud & MLOps

Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
Faculty

At a Glance

  • Tasks: Design and build secure cloud infrastructure for AI and ML workflows.
  • Company: Join a forward-thinking team dedicated to responsible AI solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Be part of a dynamic team focused on innovation and security.
  • Why this job: Shape the future of AI while collaborating with talented professionals.
  • Qualifications: Experience in cloud infrastructure and a passion for AI technologies.

The predicted salary is between 80000 - 98000 Β£ per year.

Faculty is seeking a Platform Engineer to build the backbone of applied AI for its customers.

You will design, build, and deploy robust, secure cloud infrastructure powering data and ML workflows.

Work in a cross-functional team to enable data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.

Join a team focused on responsible AI with strong emphasis on collaboration, security, and scalable architectures. #J-18808-Ljbffr

Platform Engineer: Hybrid AI Cloud & MLOps 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.

Faculty

Contact Details:

Faculty Recruitment Team

We think you need these skills to ace Platform Engineer: Hybrid AI Cloud & MLOps

Cloud Infrastructure Design
Deployment of ML Workflows
Collaboration Skills
Security Best Practices
Scalable Architecture Design
Cross-Functional Teamwork
AI Solutions Development