New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire!
We’re 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.
Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire