Machine Learning Engineer

I am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and the succesful Machine Learning Engineer will utilize their expertise in AI model quantization to deploy, analyse and enhance performance.

Primary responsibilities

• AI model quantization for various fields including LLMs.
• deploy, analyse and enhance the performance of quantized AI models on a hardware processor.
• Stay informed about the latest developments in model quantization, analog computing, and AI acceleration.

Essential experience

• MSc or PhD in Computer Science, EE, Mathematics or similar.
• Minimum 3+ years in industry as an Machine Learning Engineer working on AI model development for hardware processors, with a focus on quantization
• Solid understanding of numerical representations used in machine learning and quantization techniques
• Quantization and model compression tools such as ONNX, TVM
• PyTorch, TensorFlow

Desirable experience

• PhD with relevant publications or patents in AI hardware or AI model quantization
• Model quantization specifically for LLMs

What’s on offer?

• £60-90k DOE
• Share options
• Hybrid working (3+ days on-site per week)

Interested? This is a great opportunity for a Machine Learning Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in Oxford, UK.