Platform Engineer: AI Biotech Infra for Scalable Discovery

Helical Ltd.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Helical Ltd. is seeking a Platform Engineer to build and scale the infrastructure behind our AI-enabled biology lab. This hands-on role covers Kubernetes operations, cloud infrastructure, and production deployment across ML pipelines.

You will own CI/CD, observability, and migrations, while collaborating with ML, backend, and product teams to deliver scalable, secure, and robust systems for accelerated drug discovery.

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

multi-tenant architectures

tenant isolation

Autoscaling

production debugging

observability

Education

MSC/PhD in Machine Learning

Tools

Kubernetes

Docker

AWS

GCP

Azure

GPU workloads

CI/CD

infra-as-code

Python

Bash

Databases

Job description

Helical Ltd. is seeking a Platform Engineer to build and scale the infrastructure behind our AI-enabled biology lab. This hands-on role covers Kubernetes operations, cloud infrastructure, and production deployment across ML pipelines.

You will own CI/CD, observability, and migrations, while collaborating with ML, backend, and product teams to deliver scalable, secure, and robust systems for accelerated drug discovery.