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.

Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire by sending your CV!