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GPU Machine Learning EngineerMetric • Newcastle upon Tyne, UK
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GPU Machine Learning Engineer

GPU Machine Learning Engineer

Metric • Newcastle upon Tyne, UK
30+ days ago
Job type
  • Full-time
Job description

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. This role sits at the intersection of advanced ML research and applied engineering, focusing on generative algorithms and hybrid quantum-classical models. You’ll work closely with clients and partners to show how ML and quantum technologies can solve real-world challenges.


Responsibilities:

  • Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid quantum-classical neural networks.
  • Partner with clients to translate practical problems onto the company’s quantum hardware and deliver solutions that demonstrate value.
  • Expand and improve the company’s software platform with new algorithms, example applications, and research-driven features.
  • Support scientific innovation by publishing findings and helping safeguard intellectual property.


Required Skills & Experience:

  • Proven experience building and testing machine learning algorithms.
  • Hands-on experience with GANs, diffusion models, or flow-based generative models.
  • Strong programming skills in Python, PyTorch, and version control (Git).
  • Advanced degree (Master’s or PhD) in Computer Science, Physics, or a related technical field.


Preferred Skills:

  • Experience working with specialized computing hardware (HPC, NPUs, ASICs, or quantum processors).
  • Multi-GPU training experience.
  • Publication record in ML or AI research.
  • Comfortable presenting and collaborating with clients or stakeholders.
  • Familiarity with quantum computing principles.


Why Join:

This role offers the chance to work on cutting-edge ML research applied to quantum hardware, delivering impactful solutions that move from concept to real-world implementation. The position provides hybrid flexibility in London and direct exposure to pioneering quantum technology.

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GPU Machine Learning Engineer • Newcastle upon Tyne, UK

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