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    Founding Machine Learning Engineer - London, United Kingdom - Amberes

    Amberes
    Amberes London, United Kingdom

    2 weeks ago

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    Description


    FOUNDING - Machine Learning Engineer USP's:Backed by one of the world's very best VC'sExceptional leadership teamFuture AI UnicornWorking with the brightest minds in AIGreat culture - incredibly supportiveStrong Stock Package @ Founding LevelSponsorship AvailableAmberes has partnered with one of the world's leading VC firms, to help them build one of their hottest future AI Unicorn businesses.

    This future Unicorn specialises in building guardrails for large language models for Regulated industries, mainly Healthcare and Finance.

    This beneficial AI system will change the industryThe Founding MLE will be influential in steering the product development, the technical success, the overall growth, and mainly the culture of a future Unicorn.

    You will have the opportunity to work with exceptional VC backers, who have experience building and launching some of the most recognisable companies in the world, and work alongside the brightest minds in the AI/ML world.


    Required Experience:
    Master's degree as a minReleased publications in top conferencesA GitHub or other Portfolio sitesA minimum of 3+ years of being a key member of a leading AI research laboratory, or a pioneering AI business (whether this is a fast-growth AI start-up, or an AI leading business)

    Required Expertise:

    Machine Learning ExpertiseExperience serving LLM models at scaleAble to produce and refine large-scale ML systemsCreating HPC clusters across GPU/TPUBuilt custom tooling for GPU farmIdeally, but not essential, Python software engineering experience (software design/architecture)Developed and orchestrated complex machine-learning pipelinesEvaluating language models across GPUs, in PyTorch.

    Improved model training time by 100xNot essential, but experience working in a High-Frequency Trading environment could be beneficialIf of inetrest, please do apply.

    Thank you,Team Amberes
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