AI for Science: Cloud ML Infrastructure Engineer

Biopharma Careers; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Biopharma Careers is seeking Software Engineers to design, build and operate scalable cloud infrastructure for AI4S models and agentic systems. You will ensure reliability, implement CI/CD pipelines, automated testing, monitoring and incident response in a production environment.

The role emphasizes hands-on platform engineering on modern cloud technologies, collaborating with ML engineers and domain experts to deliver robust, high-performance software for scientists.

Qualifications

• Degree in a quantitative or engineering discipline or equivalent professional software engineering experience.
• Advanced Python programming and building robust, scalable software solutions (e.g., FastAPI).
• Experience with cloud platforms (GCP/Azure) and cloud-native architectures.

Responsibilities

• Design, build and operate scalable infrastructure and services for AI models and agentic systems.
• Own reliability: CI/CD, automated testing, monitoring, alerting, and incident response.

Skills

Python

FastAPI

Cloud platforms

CI/CD

Kubernetes

SQL databases

English fluency

Education

Bachelor's degree in CS/Engineering

Tools

GKE

Google Cloud Platform

Cloud Run

Artifact Registry

Cloud SQL

Job description

Biopharma Careers is seeking Software Engineers to design, build and operate scalable cloud infrastructure for AI4S models and agentic systems. You will ensure reliability, implement CI/CD pipelines, automated testing, monitoring and incident response in a production environment.

The role emphasizes hands-on platform engineering on modern cloud technologies, collaborating with ML engineers and domain experts to deliver robust, high-performance software for scientists.