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Machine Learning Engineer

Generative
London
1 month ago
Applications closed

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Overview

Direct message the job poster from Generative

We are on a mission to redefine drug development by building the first foundation model of microbiome-drug interactions. We’re looking for a founding Principal Machine Learning Engineer a hands-on technical leader ready to architect core AI systems and write production code daily.

What you’ll do:

  • Architect cloud infrastructure for distributed ML pipelines using PyTorch, including cluster management and spot instance orchestration
  • Design, prototype, and train large models integrating multi-omic and clinical data
  • Lead MLOps: CI/CD, model deployment, experiment tracking, and reproducibility
  • Collaborate with scientists and data engineers to translate biological data into predictive AI systems
  • Contribute to foundational model architecture decisions and future open-source initiatives

Your profile:

  • 5+ years building and deploying ML systems at scale
  • Expertise in PyTorch and modern ML tooling (ML Flow, Weights & Biases, Sagemaker, Ray)
  • Experience in cloud and containerized deployment
  • Interest or experience in biology, bioinformatics, or healthcare
  • Proven track record of building research environments and deploying production-ready models
  • Be a founding member of the engineering team with significant equity and full system ownership
  • Work on cutting-edge models at AlphaFold scale while staying hands-on
  • Drive real-world impact on patient outcomes alongside leading scientists in microbiome research

If you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

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