Machine Learning Engineer

OverviewDirect message the job poster from GenerativeWe 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 orchestrationDesign, prototype, and train large models integrating multi-omic and clinical dataLead MLOps: CI/CD, model deployment, experiment tracking, and reproducibilityCollaborate with scientists and data engineers to translate biological data into predictive AI systemsContribute to foundational model architecture decisions and future open-source initiativesYour profile:5+ years building and deploying ML systems at scaleExpertise in PyTorch and modern ML tooling (ML Flow, Weights & Biases, Sagemaker, Ray)Experience in cloud and containerized deploymentInterest or experience in biology, bioinformatics, or healthcareProven track record of building research environments and deploying production-ready modelsBe a founding member of the engineering team with significant equity and full system ownershipWork on cutting-edge models at AlphaFold scale while staying hands-onDrive real-world impact on patient outcomes alongside leading scientists in microbiome researchIf you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Generative by 2xGet notified about new Machine Learning Engineer jobs in London Area, United Kingdom.London, England, United Kingdom 3 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 7 months agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr