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