Senior ML Systems Engineer - LLM Deployment & Infra

Senior ML Systems Engineer - LLM Deployment & Infra

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Build and optimise production-ready pipelines for large language models.
  • Company: Join Google’s innovative AI systems team.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on performance, safety, and reliability.
  • Why this job: Shape the future of AI by deploying cutting-edge technology at scale.
  • Qualifications: Experience in software engineering and a passion for AI systems.

The predicted salary is between 72000 - 88000 £ per year.

Google is seeking a Software Engineer to join our AI systems team, building production-ready pipelines for large language models and agent testing across 2D/3D environments. You will translate research into scalable, robust software that runs at scale on modern hardware.

You will work with researchers and engineers to optimize and deploy LLMs like Gemini on Google's production infrastructure, shaping performance, safety, and reliability while collaborating across multiple teams on end-to-end.

Senior ML Systems Engineer - LLM Deployment & Infra employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior ML Systems Engineer - LLM Deployment & Infra

Software Engineering
Machine Learning
Large Language Models (LLMs)
Production-Ready Pipelines
2D/3D Environments
Scalable Software Development
Performance Optimisation