Jordan Clive
Lead Deep Learning Scientist at Chattermill
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJordan Clive is a Lead Deep Learning Scientist based in London with 7 years of experience building and productionizing NLP, ASR, and retrieval-augmented generation systems. At Chattermill he leads ML pipeline design and MLOps while translating cutting-edge research into deployable models, from bespoke embedding and reranker models to speech recognition and translation services. His background includes large-scale training at LAION (up to 70B params on A100s/H100s) and academic work at Imperial College that introduced state-of-the-art PEFT techniques, giving him deep expertise in parameter-efficient fine-tuning and semantic search. Comfortable moving between research and engineering, he has a track record of converting novel methods into client-facing products and early customer wins in new verticals.
7 years of coding experience
2 years of employment as a software developer
12-week Data Science Immersive, 12-week Data Science Immersive at General AssemblyMSc Computing (Machine Learning and Artificial Intelligence), MSc Computing (Machine Learning and Artificial Intelligence) at Imperial College LondonBachelor’s Degree B.Sc. in Mathematics and Earth Sciences (Natural Sciences), Bachelor’s Degree B.Sc. in Mathematics and Earth Sciences (Natural Sciences) at Durham University
Github Skills (90)
transformers10
multilabel-classification10
benchmark10
language-model10
python10
flax10
to-do10
chat10
deep-learning10
bug-reporting10
clustering10
chatgpt10
prompt-tuning10
ai10
transformer10
Programming languages (5)
Github contributions (5)
jordiclive/metadata
Mar 2023 - Jul 2024
Experiments on including metadata such as URLs, timestamps, website descriptions and HTML tags during pretraining.
Contributions:2 PRs, 274 pushes, 26 branches in 1 year 4 months
jordiclive/ControlPrefixes
Sep 2021 - Jun 2022
Contributions:15 commits, 3 PRs, 21 pushes in 9 months
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