Generative is thrilled to be partnering with an AI-native TechBio company building a new generation of machine learning systems for understanding complex biological systems.
Biological data is noisy, high-dimensional and heavily shaped by the experimental process. The challenge is to build models that can separate genuine biological signal from artefacts — and turn large-scale experimental datasets into reliable scientific insight.
They're looking for a Senior ML Research Engineer to develop novel ML models and the research infrastructure behind them, working across metagenomics, metabolomics, 16S and other multi-omic datasets.
This is a highly hands-on research role where you'll own problems end-to-end — from hypothesis and dataset design through model development, rigorous evaluation and publication-quality research.
You'll work across:
- Novel ML models for complex biological data
- Foundation models, pretraining and fine-tuning
- Representation learning across sequences, graphs and molecular data
- Rigorous evaluation of noisy real-world datasets
- Reproducible training and inference infrastructure
- Experimental design and collaboration with biological scientists
- GPU / cloud training and scalable ML systems
- Research leading towards publications and scientific breakthroughs
They're particularly interested in strong ML researchers and engineers with experience building and shipping research-driven ML systems. A PhD, publications or equivalent evidence of independent research is valuable.
Direct biology experience is not essential. Experience with omics, sequencing, molecular data, generative models or scientific/healthcare datasets is a strong plus — but exceptional ML researchers from other domains where data is noisy, high-dimensional or difficult to model are also encouraged to apply.
The company is building a genuine ML Lab-in-the-Loop, where models inform experiments and experimental results continuously feed back into the models. The goal is to create a rapid cycle between data → models → experiments → learning.
If you're an ML researcher who wants to work on fundamental problems in biological intelligence rather than incremental model optimisation, I'd be very interested in speaking.
#J-18808-Ljbffr
Senior Machine Learning Research Engineer employer: Generative
Generative is an exceptional employer for those looking to thrive in a dynamic recruitment environment. With a strong focus on professional development, our Guildford office fosters a collaborative work culture where ambitious individuals can build meaningful relationships and drive impactful results in the AI and tech sectors. Enjoy competitive commission structures, comprehensive training, and the opportunity to grow your career alongside innovative startups.
