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This listing was closed on Sep 15, 2026.
Browse Open JobsPrincipal Machine Learning Infrastructure Engineer
Summary by AIEngineer.careers
Principal Machine Learning Infrastructure Engineer is a AI Infrastructure Engineer role (full-time). with PhysicsX. in GREATER LONDON, GB. Imported listing (source: clever.cv). Apply on the employer's site (clever.cv).
Imported listing (source: clever.cv) · Apply on clever.cv
GREATER LONDON · GB
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Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from clever.cv
PhysicsX is seeking a Principal Machine Learning Infrastructure Engineer to lead the development and operation of infrastructure powering research model training, fine-tuning, and serving pipelines. This role partners directly with ML engineers and research scientists to train Large Physics Models, ensuring scalable and efficient workflow.
Responsibilities
- Operate and extend infrastructure for machine learning research, including model training, fine-tuning, and serving pipelines.
- Partner with ML engineers and research scientists to support the training of Large Physics Models.
- Ensure reliability, scalability, and efficiency of ML infrastructure.
- Drive architectural decisions for infrastructure to enable cutting-edge research.
Requirements
- Extensive experience in machine learning infrastructure, distributed systems, and large-scale compute.
- Proficiency in Python and common ML frameworks such as PyTorch or TensorFlow.
- Experience with GPU clusters and cloud-based ML platforms.
- Strong collaboration skills to work effectively with research teams.
P
PhysicsX
Greater London · GB
PhysicsX is an AI-native engineering software company that embeds physics-based AI into industrial engineering workflows. Their platform unifies simulation, AI, data, and engineering applications to accelerate design cycles, reduce development time, and optimize complex industrial systems.
