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ML Infrastructure Engineer
Builds the compute stack that makes large-scale AI training possible
£75k–£150k AI-driven
What it involves
Designs and manages GPU clusters, distributed training setups and cloud infrastructure so ML teams can train and serve models at scale without bottlenecks.
Skills & knowledge needed
CUDAKubernetesDistributed trainingCloud (AWS/GCP/Azure)Networking
Why it's emerging now
Every AI lab needs specialised infrastructure — demand far outpaces the supply of engineers who can build it.
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