Staff Software Engineer (Inference Platform), London

Overview

In this role you will lead the reliability and scale of IsoLabs foundation-model platform, collaborating with research and Applied ML teams to support larger models and data volumes. You will design and implement robust infrastructure, from GPU/TPU workloads to inference services, while improving observability and CI/CD stability. Your work enables researchers to run at digital speed with high throughput and minimal friction. This position offers a chance to shape biotech AI foundations and contribute to disease-focused innovation.

Pay / Benefits

• hybrid working model
• 3 days in the office per week
• collaborative culture
• disability accommodation discussions
• equal employment opportunities
• learning and growth culture

Responsibilities

• Own end-to-end platform reliability strategy for accelerator infrastructure and workload orchestration
• Lead reliability work for the global job scheduler
• Design a robust test harness to validate infrastructure upgrades safely
• Architect and optimize next-generation inference services for high throughput
• Overhaul logging and monitoring for proactive failure detection
• Improve internal CI/CD stability and faster feedback loops
• Contribute to tooling and architectural decisions across science, product, and operations teams

Key requirements

• Proven experience architecting and managing large-scale AI/ML workloads in production
• Expertise in cloud compute design within Google Cloud Platform (GCP)
• Significant experience deploying and managing workloads with Kubernetes (GKE)
• Professional familiarity with NVIDIA GPU generations and high-performance compute
• Strong programming skills and a reliability-first software development mindset
• Cross-functional collaboration
• Stakeholder management in fast-paced environments
• Curiosity and rigorous problem solving
• Google Cloud Platform (GCP)
• Kubernetes (GKE)
• NVIDIA GPUs

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