London-Based Forward Deployed ML Engineer — AI Infra

Carbon Data Solutions; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Modal is seeking Forward Deployed ML Engineers to work at the intersection of deep technical work and direct customer impact in London. You will partner with leading AI teams to optimize production AI workloads, focusing on LLM serving, model training, and high-performance inference.

You’ll join a team of world-class engineers and researchers, collaborating with customers and internal teams to deliver tangible performance improvements and scalable ML infrastructure across multiple industries.

Qualifications

• 2+ years of professional ML engineering experience.
• Strong ability to communicate complex technical topics to stakeholders.
• Experience with inference optimization, model training, and GPU programming.
• Familiarity with ML infrastructure and end-to-end AI workloads.

Responsibilities

• Collaborate with customers to architect and optimize production AI workloads on Modal.
• Contribute to open-source projects and publish technical content showcasing Modal’s capabilities.
• Work with product and sales teams to align engineering with business goals.
• Build trusted relationships with CTOs, ML leads, and engineering leaders at customer companies.
• Conduct demos and proofs of concept to demonstrate performance advantages.

Skills

ML engineering

Communication

GPU programming

Model training

Tools

vLLM

SGLang

slime

verl

TRL

Job description

Modal is seeking Forward Deployed ML Engineers to work at the intersection of deep technical work and direct customer impact in London. You will partner with leading AI teams to optimize production AI workloads, focusing on LLM serving, model training, and high-performance inference.

You’ll join a team of world-class engineers and researchers, collaborating with customers and internal teams to deliver tangible performance improvements and scalable ML infrastructure across multiple industries.