Senior ML Platform Engineer - Scalable AI Deployment

Senior ML Platform Engineer - Scalable AI Deployment

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Scale AI, Inc.

At a Glance

  • Tasks: Own and scale the Generative AI Platform, working across backend and frontend.
  • Company: Join Scale AI, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for rapid learning.
  • Other info: Fast-paced environment with great potential for career advancement.
  • Why this job: Make a real impact in AI by delivering high-quality experiments quickly.
  • Qualifications: Experience in ML systems and a passion for learning new technologies.

The predicted salary is between 80000 - 100000 Β£ per year.

Scale AI, Inc. is seeking a senior engineer to own large new areas of Scale GP (Scale Generative AI Platform). You will work across backend, frontend, and interfaces with LLMs and ML models to push scalable, reliable systems in a fast-paced environment.

You will deliver experiments rapidly with high quality, spanning the full product lifecycle from concept to production, and you should be ready to learn new technologies quickly to stay ahead in AI tooling and platforms.

Senior ML Platform Engineer - Scalable AI Deployment employer: Scale AI, Inc.

At Scale AI, Inc., we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Senior ML Platform Engineer, you will have access to cutting-edge technologies and the opportunity for rapid professional growth while collaborating with a talented team dedicated to pushing the boundaries of AI deployment. Our commitment to employee development and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers in technology.

Scale AI, Inc.

Contact Details:

Scale AI, Inc. Recruitment Team

We think you need these skills to ace Senior ML Platform Engineer - Scalable AI Deployment

Backend Development
Frontend Development
LLM Integration
ML Model Deployment
Scalable Systems Design
Experimentation
Product Lifecycle Management