3 of 3 Permanent Model Validation Jobs in the South East

agentic AI – across research, rankings, submissions and product innovation. Oversee the end-to-end analytics lifecycle, from data acquisition and feature engineering through to model development, validation, deployment and monitoring Ensure AI-driven outputs are explainable, transparent and aligned with Chambers’ standards and reputation for independence Provide strategic … outcomes Collaborate with Product and Technology teams to embed AI and analytics into customer-facing products and internal platforms Establish best practices for experimentation, model governance, performance measurement and ethical AI use Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment ...

models that learn across multiple data modalities and scales, from granular signals through to population-level insights Embeds explainability, uncertainty and causal reasoning into model design, not as an afterthought Partners closely with downstream teams to ensure models can be fine-tuned, deployed and deliver real-world impact Makes … clear, defensible build vs adapt vs buy decisions across models, tooling and external partnerships Sets standards for model evaluation, bench-marking, validation and data quality Represents the organisation externally through publications, open-source contribution or recognised thought leadership What success looks like Reusable AI systems that are actively ...

perception, and high-level planning. Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. … frameworks, navigation, or multi-sensor integration. Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days ...