Senior ML Infrastructure Engineer — Hybrid

Isomorphic Labs; City Of London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Isomorphic Labs in London is seeking versatile software engineers to advance the ML infrastructure that underpins scalable training and inference across vast compute and data resources.

You will collaborate with engineering, research and product teams to design and evolve platforms, with a preference for candidates who have built infrastructure at scale and who bring hands-on Kubernetes, GCP or multi-cloud experience.

Formación

• Demonstrated ability to independently identify opportunities and deliver solutions.
• Experience building and evolving infrastructure or platforms at significant scale.
• Strong Python programming.
• Nice to have: Domain knowledge of ML inference, training or research infrastructure
• Nice to have: Hands-on experience building for Kubernetes
• Nice to have: Experience with Google Cloud Platform (GCP)
• Nice to have: Experience with multi-cloud environments

Responsabilidades

• Evolve the ML infrastructure platform to accelerate both human and agent-driven research at scale
• Explore options to deploy agents to increase the robustness and reliability of the platform
• Develop the platform to enable the next generation of distributed, performance-critical training and inference workloads
• Partner closely with engineering, research and product teams to identify and deliver impact

Conocimientos

Independently identify opportunities

Cross-functional collaboration

Infrastructure platform engineering

Python programming

Herramientas

Kubernetes

GCP

Multi-cloud environments

Descripción del empleo

Isomorphic Labs in London is seeking versatile software engineers to advance the ML infrastructure that underpins scalable training and inference across vast compute and data resources.

You will collaborate with engineering, research and product teams to design and evolve platforms, with a preference for candidates who have built infrastructure at scale and who bring hands-on Kubernetes, GCP or multi-cloud experience.