Machine Learning Infrastructure Engineer

1 month ago


London, United Kingdom European Recruitment Full time

Machine Learning Infrastructure Engineer - DeepSpeed, HPC Clusters, Quantization, Parallelism
Our client are building LLMs to evaluate AI models. They are building an exceptional engineering team, and you could be part of it
As their Machine Learning Infrastructure Engineer, you’ll develop the framework allowing for rapid training and experimentation of large language models.

Develop the core inference engine serve large machine learning models at scale and across distributed systems.
Enable high throughput training runs achieving top hardware efficiency optimisation.
Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.
Proficiency in efficient serving of large machine learning models at scale, including quantisation, parallelism, distributed computing (E.g. deepspeed, megatron, ray)
By applying to this role you understand that we may collect your personal data and store and process it on our systems.



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