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Hyper Recruitment Solutions

Open 39d

Machine Learning Engineer

Posted Updated 8 views
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Salary: £33,000 - 73,000 per year

Requirements:
  • A degree or higher qualification in a relevant field such as Computer Science, Data Science, or Bioinformatics, with proven applied experience.
  • Demonstrated industrial experience developing machine learning solutions within biological or biochemical research settings.
  • Strong understanding of disordered proteins, protein dynamics, and the limitations of static techniques like NMR.
  • Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
Responsibilities:
  • Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
  • Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
  • Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
  • Use technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
  • Translate scientific challenges into effective computational solutions.
Technologies:
  • Machine Learning

More:

We are a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This role is based at our modern facility and offers the opportunity to contribute to groundbreaking research in a dynamic, open-source environment. We provide a collaborative setting with significant influence over scientific direction, a competitive salary package, and the potential for sponsorship if required. The position is four days on-site, supporting excellent work-life balance, and we operate within a state-of-the-art facility supported by recent government funding. Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer and supports the STEM sectors with scientific recruitment expertise.

last updated 36 week of 2026

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