2 of 2 Model Validation Jobs in Cambridge

engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. More ❯

for delivering robust, secure, and ethical AI services at scale. You'll be a part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools - with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Perform functional, performance … to establish service-level quality metrics and observability hooks. Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes. Participate in threat modelling and security validation of exposed APIs and AI services. Provide feedback early in the lifecycle to reduce defects and improve design. Mentor junior testers, encourage continuous learning, and contribute to a culture … of innovation. AI & Cloud Expertise Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection. Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations Defining Performance Metrics for AI services and testing for the same Awareness of AI More ❯