Senior ML Infrastructure Engineer — Hybrid & Equity

PhysicsX Ltd; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Equity options

10% employer pension contribution

Free office lunches

Flexible working

Hybrid setup

Enhanced parental leave

Private healthcare

Personal development

Work from anywhere

Job summary

A deep-tech company in London is seeking a Senior Machine Learning Infrastructure Engineer to enhance and manage the infrastructure for model training and deployment. You will collaborate with ML engineers and research scientists to ensure effective model training at scale. The ideal candidate should have at least 5 years of experience in ML infrastructure, strong problem-solving skills, and proficiency in distributed training technologies. This position offers equity options, a 10% pension contribution, and a hybrid work setup.

Qualifications

• 5+ years of experience building and operating ML infrastructure at scale.
• Deep expertise in distributed training: debugging NCCL hangs, optimizing communication.
• Strong systems fundamentals: Linux, networking, storage I/O.

Responsibilities

• Design and operate distributed training infrastructure for neural operator architectures.
• Optimize training pipelines for throughput and fault tolerance.
• Build serving infrastructure for pre-trained LPMs supporting inference.

Skills

Distributed training expertise

Problem-solving skills

Collaboration and communication

Systems fundamentals

Proficiency in Python

Experience with Kubernetes

Experience with ML frameworks (PyTorch preferred)

Job description

A deep-tech company in London is seeking a Senior Machine Learning Infrastructure Engineer to enhance and manage the infrastructure for model training and deployment. You will collaborate with ML engineers and research scientists to ensure effective model training at scale. The ideal candidate should have at least 5 years of experience in ML infrastructure, strong problem-solving skills, and proficiency in distributed training technologies. This position offers equity options, a 10% pension contribution, and a hybrid work setup.