Forward-Deployed ML Engineer: AI Infra Architect

Mixpeek

Greater London

On-site

GBP 70,000 - 120,000

Full time

7 days ago
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Job summary

Modal in London is seeking Forward Deployed ML Engineers who work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI teams to optimize production workloads, including LLM serving and model training.

You’ll join a team of engineers and researchers who build, demo, and instrument real-world AI systems, collaborating with product and sales to deliver customer value while advancing Modal’s platform.

Qualifications

  • 2+ years of professional ML engineering experience.
  • Experience with inference optimization, model training, GPU programming, or ML infrastructure.
  • Familiar with serving and training toolchains (e.g., vLLM, SGLang); depth in at least one.
  • Strong communicator capable of technical architecture discussions with engineers and leadership.
  • Interested in working directly with customers; energized to understand problems and help solve them.
  • Willing to work in person in London.

Responsibilities

  • Architect and optimize production AI workloads with customer use cases.
  • Collaborate with product and sales teams, contributing as an engineer and product stakeholder.
  • Build trusted relationships with technical leaders at client companies.
  • Conduct technical demos, experiments, and proofs of concept to demonstrate Modal’s advantages.
  • Contribute to open‑source projects and publish technical content showcasing Modal’s capabilities.

Skills

ML engineering
Inference optimization
GPU programming
ML infrastructure
Customer-facing

Tools

vLLM
SGLang

Job description

Modal in London is seeking Forward Deployed ML Engineers who work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI teams to optimize production workloads, including LLM serving and model training.

You’ll join a team of engineers and researchers who build, demo, and instrument real-world AI systems, collaborating with product and sales to deliver customer value while advancing Modal’s platform.

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