8 of 8 Model Validation Jobs in the South East

engineers to design, experiment, validate, and deploy production-grade AI systems for customer-facing applications. Key Responsibilities Lead hypothesis generation, experimentation, and model validation to support new AI/ML business solutions. Design, run, and manage data science experiments with high standards of rigor and reproducibility. Build … Familiarity with LLM fine-tuning, evaluation frameworks, or prompt engineering. Contract Details Location: London or Edinburgh Duration: 3-month initial contract Start: ASAP Working model: Hybrid Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. ...

environment. The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems … outputs into clear insights recommendations for technical non-technical stakeholders Work closely with data engineers analysts to ensure models are production-ready scalable Validate model performance manage bias ensure outputs are robust explainable reliable Contribute to continuous improvement of data science practices tooling governance Essential Skills for the Data ...

must have): Experience leading the implementation data modelling and dashboard design techniques to support future-proofed, portable reporting designs. Strong knowledge of data modelling, validation and quality assurance. Proven expertise with data warehousing solutions. Experience with cloud-based or hybrid data environments. Expertise in the security, privacy and ethical ...

executive reporting; escalate early with clear options and impacts. Ensure comprehensive risk & control coverage: operational risk, conduct risk, data privacy, regulatory obligations, and model/process validation. Coordinate front-to-back stakeholders (Product, Sales, Operations, Finance, Risk, Compliance, Legal, Regulatory Change) to shape solutions. Drive continuous improvement and process ...

operational constraints, and compliance obligations in detail. ISO 20022 Deep understanding of ISO 20022 , including message structure, mandatory and optional elements, data modelling, mapping, validation, and cross-scheme differences. Experience designing or reviewing solutions that implement ISO 20022 end to end. Architecture and Solution Design Significant experience ...

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 ...