Senior AI Infrastructure Engineer - Scale Multi-GPU Training

LinuxRecruit; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Equity in early-stage startup

London lab

Job summary

LinuxRecruit is seeking an experienced AI Infrastructure or MLOps Engineer to join our London lab. You will architect and optimize distributed training across multiple GPUs and machines in AWS, eliminate bottlenecks in the data path, and manage cluster orchestration with Slurm and Kubernetes.

The role requires deep PyTorch expertise, familiarity with transformer models, and experience deploying production AI systems.

Qualifications

• Proven track record building production AI systems.
• Strong PyTorch experience and understanding of transformers.
• Experience with distributed training and high-performance compute.

Responsibilities

• Architect and optimize distributed training across multiple GPUs and machines.
• Manage cluster orchestration using Slurm and Kubernetes; expand to specialised GPU providers.
• Collaborate across teams in a fast-moving startup to shape technology decisions.

Skills

Distributed training design

Performance optimization

Collaboration & ownership

Problem solving under pressure

Tools

PyTorch

Slurm

Kubernetes

AWS

Job description

LinuxRecruit is seeking an experienced AI Infrastructure or MLOps Engineer to join our London lab. You will architect and optimize distributed training across multiple GPUs and machines in AWS, eliminate bottlenecks in the data path, and manage cluster orchestration with Slurm and Kubernetes.

The role requires deep PyTorch expertise, familiarity with transformer models, and experience deploying production AI systems.