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Machine Learning Engineer (AI hardware)

ic resources

Oxford

Hybrid

GBP 60,000 - 90,000

Full time

7 days ago
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Job summary

A leading tech client is seeking a Machine Learning Engineer in Oxford to develop next-gen AI hardware solutions. The role involves enhancing ML algorithms for performance on AI processors and collaborating in a multidisciplinary team. Ideal candidates will have a strong educational background and at least 2 years of industry experience.

Benefits

Share options
Growing benefits package

Qualifications

  • Minimum 2+ years industry experience as an ML Engineer.
  • Experience in benchmarking and performance analysis on specialized hardware platforms.
  • Proficient in PyTorch and TensorFlow.

Responsibilities

  • Research, implement, and optimize machine learning algorithms for AI processors.
  • Design and develop simulation tools for AI model performance.
  • Develop benchmarking frameworks.

Skills

Machine Learning
Performance Analysis
Optimization
Programming in Python
Programming in C/C++
Experience with PyTorch
Experience with TensorFlow

Education

BSc, MSc, or PhD in Computer Science, EE, Mathematics, or similar

Tools

Python
C/C++
PyTorch
TensorFlow
HDL

Job description

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Machine Learning Engineer (AI hardware), Oxford

Client: ic resources

Location: Oxford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 87703aeca31f
Job Views: 3
Posted: 25.06.2025
Expiry Date: 09.08.2025
Job Description:

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 based on years of ground-breaking research. The successful Machine Learning Engineer will work in a multidisciplinary team to understand hardware architecture and develop ML models, simulation tools, and benchmarking frameworks.

Primary responsibilities:

  • Research, implement, and optimize state-of-the-art machine learning algorithms to enhance model performance on an AI processor
  • Design and develop simulation tools to simulate AI model performance
  • Develop benchmarking frameworks

Essential experience:

  • BSc, MSc, or PhD in Computer Science, EE, Mathematics, or similar
  • Minimum 2+ years industry experience as an ML Engineer working on full-cycle model development for AI hardware processors
  • Experience in benchmarking and performance analysis of machine learning models on specialized hardware platforms
  • Proficiency in PyTorch, TensorFlow
  • Programming in Python, C/C++

Desired experience:

  • HDL

What’s on offer?

  • £60-90k, share options, and a growing benefits package
  • Hybrid working (preferably 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, who is recruiting for this position in Oxford, UK.

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