7 of 7 Model Validation Jobs in Scotland

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 ...

bring the data perspective. You'll help ensure experiments are designed with the downstream data requirements in mind, lead the approach to modelling and validation, and ultimately help turn complex real-world scientific data into robust ML-driven products. We're particularly interested in people with experience across areas ...

Design for Serviceability (DFS), and reliability engineering principles. Experience supporting supply chain, component lifecycle management, and obsolescence planning. Familiarity with hardware simulation, modelling, and validation methodologies. Experience developing common product platforms deployed across multiple product generations and product families. Equal Opportunity Employer We Are an Equal Opportunity Employer. Ralliant ...

domains, responsibilities, workflows, roles and operating models. Develop high-quality Python solutions for data modelling and governance use cases, using Pydantic for schema definition, validation, serialization, configuration-driven models and API-ready data structures. Build reusable Python libraries, modelling components and automation patterns supporting data ingestion, governance workflows, data … APIs, JSON, YAML, SQL and structured/unstructured data formats. Leverage in-memory databases and caching technologies where appropriate to support high-performance integrations, validation workflows and governance automation. Use AI-assisted coding and development tools responsibly to improve development productivity, code quality, documentation, testing and solution design. Review ...

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 ...

verification, Object-Oriented and Randomized Verification, as well as Gate Level Simulation. Top-level metric-driven analog mixed-signal (AMS) simulations. Modelling and validation of analog blocks (RNM, Verilog-AMS). Proficiency with Cadence tool suite, such as Xcelium/IMC/Virtuoso etc. Verification planning tools (ePlanner/… silicon verification of impactful, innovative mixed-signal products, working with a team of verification and design engineers. Bridge the verification and validation environments, supporting post-silicon validation. Execute for 100% verification coverage, combining DMS and AMS, top-level, IP-level, and Formal Analysis. Establish and continuously improve verification flows ...