Overview
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.
Company:
IC Resources
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
About IC Resources
IC Resources develops and delivers insightful and relevant recruitment solutions to the technology community.
