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# Machine Learning Engineer

- **Company:** Metric
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Artificial Neural Networks, Computer Programming, Python (Programming Language), Machine Learning, Quantum Computing, Pytorch, Git, Computer Equipment, Information Technology, Software Version Control
- **Published:** July 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850735954-2

## About the Role

* 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.

## Description

We're looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack 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., * 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.


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