Jordan Clive

Senior Machine Learning Scientist at Zendesk

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Jordan 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.
code7 years of coding experience
job5 years of employment as a software developer
bookMSc Computing (Machine Learning and Artificial Intelligence), MSc Computing (Machine Learning and Artificial Intelligence) at Imperial College London
bookB.Sc. in Mathematics and Earth Sciences (Natural Sciences), B.Sc. in Mathematics and Earth Sciences (Natural Sciences) at Durham University
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Github Skills (81)

transformers10
benchmark10
language-model10
python10
semantic-search10
to-do10
chat10
deep-learning10
bug-reporting10
gemma10
clustering10
glm10
chatgpt10
prompt-tuning10
multimodal10

Programming languages (4)

HTMLJupyter NotebookLexPython

Github contributions (5)

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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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