Research Machine Learning Engineer
- Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals.
- Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible.
- Reinforcement learning
- Large Language Models (LLMs)
- Optimisation methods
- Deep learning frameworks (e.g., TensorFlow, PyTorch)
- Applied AI research at scale
- Hybrid remote work with offices in Cambridge or London
- The chance to publish and share your work with the broader research community
- Collaborate with a world-class team of researchers and engineers
- Work on high-impact projects with significant reach and visibility
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