Machine Learning Engineer

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

Referrals increase your chances of interviewing at Generative by 2x

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 7 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

• 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.