Machine Learning Engineer

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.

Candidates must live within 1 hour of Cambridge and be able to commute to the office 3 days per week.

Tagged as: engineer job