Remote MLOps Architect - AWS for Enterprise ML/LLM

Remote MLOps Architect - AWS for Enterprise ML/LLM

Full-Time Working from home possible
Quantiphi Limited

At a Glance

  • Tasks: Lead MLOps strategy and scale ML operations in cloud environments.
  • Company: Quantiphi Limited, a leader in AI/ML solutions for Fortune 500 clients.
  • Benefits: Full-time remote role with competitive salary and exposure to cutting-edge technology.
  • Other info: Join a dynamic team and enhance your career in a fast-evolving field.
  • Why this job: Make a global impact by driving innovative AI/ML projects.
  • Qualifications: Experience in MLOps, cloud-native design, and mentoring skills.

Quantiphi Limited is seeking an experienced MLOps Architect to drive end-to-end MLOps strategy across enterprise AI/ML programs. The role requires hands-on technical depth, cloud-native design, and the ability to scale ML operations in cloud environments. You will lead the architectural direction, mentor engineers, and influence client projects globally.

The position is full-time and remote within the UK, offering exposure to cutting-edge AI/ML tooling and collaboration with Fortune 500 clients.

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Remote MLOps Architect - AWS for Enterprise ML/LLM employer: Quantiphi Limited

Quantiphi is an exceptional employer that fosters a dynamic and innovative work culture, where AI Engineers can thrive while working on groundbreaking projects in agentic AI. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with global teams, all within a flexible hybrid work environment that promotes work-life balance. Located in Europe, this role offers unique advantages such as the opportunity to travel to diverse customer sites, enhancing both your professional experience and personal development.

Quantiphi Limited

Contact Details:

Quantiphi Limited Recruitment Team

We think you need these skills to ace Remote MLOps Architect - AWS for Enterprise ML/LLM

MLOps Strategy
Cloud-Native Design
AWS
AI/ML Tooling
Architectural Direction
Mentoring
Client Project Influence