New hybrid Machine Learning Engineer job based in Cambridge Cambridgeshire!
Were looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models.
Key responsibilities and requirements for the Machine Learning Engineer job:
Train and deploy SOTA models on production-scale datasets
Optimize models using pruning quantization distillation
Enhance speech features (diarization multilingual keyword boosting)
Scale training workflows across multi-GPU systems
Apply and influence the latest ML research
Key skills / experience required for the Machine Learning Engineer job:
MSc/PhD in a relevant field with strong ML/deep learning foundations
Hands-on experience with PyTorch or TensorFlow
Expertise in model training at scale and GPU systems
Knowledge of model compression and optimization techniques
A background in speech recognition would be beneficial
This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge Cambridgeshire.
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