Platform Engineer: Scale Kubernetes & ML Infra

Helical; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Helical is building an AI-native biology lab and production-ready AI-driven workflows. We seek a Platform Engineer to scale the infrastructure behind our virtual AI lab, debugging Kubernetes and refining architecture while shipping to production.

You will own cloud infra, ML training and inference pipelines, and CI/CD across multi-tenant environments. The role involves collaboration with ML, backend, and product teams to enable scalable, secure, and observable systems for AI-driven drug

Qualifications

• 4+ years in platform / DevOps / infra.
• Strong Kubernetes, Docker, cloud (AWS/GCP/Azure).
• GPU workloads / ML infra.
• Experience designing & operating multi-tenant architectures with strict tenant isolation.
• Familiarity with autoscaling & service isolation.
• Experience with CI/CD, databases, infra-as-code.
• Comfortable debugging production systems.

Responsibilities

• Run and scale Kubernetes (incl. GPU workloads).
• Own cloud infrastructure and infra-as-code.
• Support ML training & inference pipelines.
• Manage CI/CD, observability, and deployments.
• Handle databases, storage, and migrations.
• Build automation (Python/Bash).
• Work closely with ML, backend, and product.

Skills

Kubernetes

Docker

Cloud platforms

ML infra

Multi-tenant architectures

Autoscaling

CI/CD

Infra-as-code

Production debugging

Python/Bash

Tools

Kubernetes

Job description

Helical is building an AI-native biology lab and production-ready AI-driven workflows. We seek a Platform Engineer to scale the infrastructure behind our virtual AI lab, debugging Kubernetes and refining architecture while shipping to production.

You will own cloud infra, ML training and inference pipelines, and CI/CD across multi-tenant environments. The role involves collaboration with ML, backend, and product teams to enable scalable, secure, and observable systems for AI-driven drug