Machine Learning Engineer
Core
Design, develop, and deploy AI and machine learning models for drug development and manufacturing, including building scalable ML pipelines and LLM-based tools for knowledge retrieval.
Role type
Senior Machine Learning Engineer (Drug Development)
Builds
Production-grade ML models, scalable ML pipelines, and LLM-based tools for knowledge retrieval and workflow assistance.
Domain
Biotechnology / Pharmaceutical Manufacturing / Drug Development
Deliverable
production ML models
Required skills
End-to-end ML pipeline construction, model deployment, containerization, CI/CD, MLOps, prompt engineering, retrieval-augmented generation (RAG), vector search, Python, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, MLflow, cloud platforms, biological/chemical data handling.
Preferred skills
PhD in relevant field, experience with LLMs, experience with drug development ecosystem.
Responsibilities
Design, develop, and deploy AI and machine learning models; Build and maintain scalable ML pipelines and infrastructure; Deploy models to production using containerisation, CI/CD, and MLOps toolsets; Develop LLM-based tools using prompt engineering, retrieval, and embedding pipelines; Embed responsible AI practices and compliance in all solutions.
Seniority
Senior, hands-on IC
