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Senior Machine Learning Engineer

Opus Recruitment Solutions
London
7 months ago
Applications closed

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Salary : £80,000 - £100,000

Hybrid - 2 Office Days


Our client offers an innovative drug discovery platform that uses generative AI to explore organ-level mechanisms and design new drugs, aiming to enhance clinical success rates.


Role Summary

The client is seeking a senior AI/ML Engineer. You will work closely with top experts in AI for biology to push the boundaries of organism-level drug discovery.


Key Responsibilities

  • Create and assess machine learning models to interpret omics data for drug discovery applications.
  • Lead and collaborate on interdisciplinary projects in biology and drug discovery.
  • Convert developed solutions into user-friendly packages with comprehensive documentation.


Required Qualifications

  • Ph.D. or MSc. in computer science, mathematics, physics, computational biology, or equivalent experience.
  • Experience with natural language models, diffusion/flow matching models, and large-scale vision models using transformer architecture.
  • Proficiency in handling omics data, single-cell data, and perturbational data.
  • Expertise in advanced statistical techniques, machine learning, and modern deep learning methods.
  • Strong Python skills, including core data science libraries (Scikit-Learn, SciPy, TensorFlow, PyTorch).
  • Knowledge of software development best practices and collaboration tools (git-based version control, Python package management, code reviews).
  • Excellent communication skills for explaining complex algorithms and methods to non-technical stakeholders.
  • Bonus: Experience with cloud environments and tools such as Google Cloud, Amazon AWS.

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