Principal ML Platform Engineer - Reliability & Scale

Isomorphic Labs; Greater London; Hybrid; GBP 75,000 - 100,000; Full time

Job summary

A biotech AI company in Greater London is seeking a Senior or Principal Software Engineer to ensure the reliability and scalability of their ML platform. The successful candidate will be responsible for leading platform reliability strategies, managing GPU/TPU infrastructure, and optimizing inference services. Applicants should have proven experience in architecting AI workloads and expertise in Google Cloud Platform. The position follows a hybrid model with in-office attendance expected three days a week.

Qualifications

• Proven experience in architecting and managing large-scale AI/ML workloads in production.
• Expertise in cloud compute design, specifically within Google Cloud Platform (GCP).
• Significant experience deploying and managing complex workloads within Kubernetes.

Responsibilities

• Own the end-to-end strategy for platform reliability focusing on accelerator (GPU/TPU) infrastructure.
• Lead reliability work for the global job scheduler and ensure safe validation of infrastructure upgrades.
• Architect and optimize next-generation inference services for high-throughput performance.

Skills

Architecting AI/ML workloads

Cloud compute design (GCP)

Kubernetes expertise

NVIDIA GPU knowledge

Programming skills

Job description

A biotech AI company in Greater London is seeking a Senior or Principal Software Engineer to ensure the reliability and scalability of their ML platform. The successful candidate will be responsible for leading platform reliability strategies, managing GPU/TPU infrastructure, and optimizing inference services. Applicants should have proven experience in architecting AI workloads and expertise in Google Cloud Platform. The position follows a hybrid model with in-office attendance expected three days a week.