ML Platform Engineer - Build GPU-Driven ML Infra

US Health Partners, LLC; Cambridge; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity in company

Professional development budget

Flexible holidays

Job summary

CuspAI seeks a Platform Engineer to build and maintain the ML infrastructure that powers our AI research teams. You will architect systems enabling researchers to train and deploy models at scale, focusing on reliability, scale, and developer experience.

You will own the MLOps stack, implement CI/CD, model registries, experiment tracking, and deployment automation across multi-cloud environments and GPU clusters.

Qualifications

• Excited to enable scientists to work on world changing challenges in this domain.

Responsibilities

• Build the ML Infrastructure Platform: design a cloud-native platform on Kubernetes for training, evaluation, and deployment of models.

Skills

Python

Go

Cloud platforms

Kubernetes

Terraform

Helm

Kapitan

GitOps

Distributed ML

GPU clusters

Tools

Kubernetes

Terraform

Helm

Kapitan

GitOps

Job description

CuspAI seeks a Platform Engineer to build and maintain the ML infrastructure that powers our AI research teams. You will architect systems enabling researchers to train and deploy models at scale, focusing on reliability, scale, and developer experience.

You will own the MLOps stack, implement CI/CD, model registries, experiment tracking, and deployment automation across multi-cloud environments and GPU clusters.