Job - ML Engineer - Applied Science | MBN
Back to jobs

ML Engineer - Applied Science

  • Data Science
  • London
  • Permanent
  • £70,001-£80,000
  • About the role

    Machine Learning Engineer BioTech – London Hybrid - £80k

    We’re looking to speak with Machine Learning Engineers to work on developing an early warning system for new variants of COVID.

    Who are we?

    We’re the AI startup that's changing the game! With top-notch researchers, developers, and data scientists, we're pushing the boundaries of what's possible with deep learning. Our customized AI models and consultation services are transforming industries like healthcare, finance, and transportation. And with a passion for academic research, we’re advancing the field of AI and propelling us towards an exciting future where AI is an integral part of our daily lives.

    You’ll join 300+ colleagues, with a further 180 joining this year across the globe and will be working mostly remotely whilst we secure a bigger London office, following which you may required to work in the office 2/3 days a week.


    Who are you?

    As part of our BioTech team we’re looking for a Machine Learning Engineer to work with the R&D team to develop our Early Warning System to detect new variants of COVID

    You will have:

    • Strong coding in Python
    • Experience with CI/CD deployment tools (Docker, K8, GCP)
    • Experience in Computational Biology
    • Knowledge of Computational Biology tools, databases and file types.


    What are we offering

    Our colleagues have joined us because of the impact we are making on the world, partnering with some of the leading companies and institutions in the world to solve  some of the most complex challenges affecting humankind.

    We’ve recently been acquired by one of the largest BioTech firms in Europe and in the process of reviewing our overall package, but we currently offer upto £80,000 base salary, 25 days holiday and 3% pension, along with equity and a discretionary bonus.

    How do I find out more? 

    If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:

    • Email me at
    • Call me on 02037736498