Senior Machine Learning Engineer
Core
Design, build, and deploy scalable ML solutions that process complex physiological and biological data to create actionable insights for health and performance.
Role type
Senior Machine Learning Engineer
Builds
Production-grade ML models and end-to-end pipelines for physiological and genetic data
Domain
Health technology / Bioinformatics
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Spark, MLOps, CI/CD, model versioning, monitoring, AWS, Azure, GCP, statistics
Preferred skills
Postgraduate qualification, experience with health/physiological/biological data environments
Technologies
PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, Spark, AWS, Azure, GCP
Responsibilities
Design, build, and deploy machine learning models for physiological and performance-related predictions; Develop and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment; Work with large-scale physiological and genetic datasets to extract actionable insights; Collaborate with cross-functional teams to translate domain expertise into scalable ML solutions; Optimise model performance, scalability, and reliability in production environments; Implement model monitoring, evaluation, and retraining processes; Ensure strong data quality, governance, and reproducibility standards
Seniority
Senior, hands-on IC