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 successful Machine Learning Engineer will utilize their expertise in AI model quantization to deploy, analyze and enhance performance.
Primary Responsibilities
AI model quantization for various fields including LLMs. Deploy, analyze 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 a 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. Experience with quantization and model compression tools such as ONNX, TVM. Proficiency in 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)
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AI model quantization for various fields including LLMs. Deploy, analyze 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 a 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. Experience with quantization and model compression tools such as ONNX, TVM. Proficiency in 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)
#J-18808-Ljbffr
