miBiome Therapeutics LLP

miBiome Therapeutics is a biotech company pioneering data-driven solutions in human health through genomics and research. We're a growing, research-first team working on real-world biological problems that require advanced machine learning and statistical modeling. What You’ll Do: As a Machine Learning Engineer at miBiome, you’ll collaborate closely with bioinformaticians and research scientists to develop, train, and validate models that power genomics-based insights. Your work will involve: Building and optimizing ML models for large-scale genomics data Designing pipelines to process, integrate, and analyze structured and unstructured biological datasets Contributing to model evaluation and interpretation in the context of real-world genomics challenges Working cross-functionally with biology, data, and engineering teams What We’re Looking For: 1 – 2 years of experience in machine learning, preferably with real-world dataset experience Strong grasp of supervised and unsupervised learning techniques Proficiency in Python (TensorFlow/PyTorch, scikit-learn, etc.) Solid understanding of data preprocessing, model evaluation, and feature engineering Familiarity with version control (Git) and collaborative dev workflows Bonus: Experience with genomics data, biomedical datasets, or biotech R&D environments Why Join Us: Opportunity to work on cutting-edge health tech challenges Work alongside top talent in biology, engineering, and data science Flexible work environment with deep scientific impact Be part of a mission to transform human health through data