3 of 3 Permanent Model Validation Jobs in Midlothian

decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them … unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

/IR Systems Engineer, you will: Contribute to the requirement capture and management, definition, development, modelling, manufacture, test, validation and verification of advanced EO/IR technologies and systems Mentor early-career engineers in your immediate team, or across the business Adopt, adhere to, and contribute to the improvement … culture of continual learning and improvement, acting as a change agent for systems engineering Contribute to the planning and execution of structured Verification and Validation (V&V) activities, ensuring that all EO/IR system behaviours and performance characteristics are rigorously demonstrated using analysis, modelling, laboratory evaluation, and field ...