1 to 25 of 134 Validation Jobs in Scotland

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

skills, providing clear updates to stakeholders across levels. Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices. Preferred qualifications, capabilities, and skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs - ground-truth evaluation datasets, accuracy, hallucination and toxicity metrics, guardrails and content moderation, red-teaming, and embedding evals into CI/ ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

solutions meet defined product requirements, performance standards and business objectives. Support the successful commercialisation of machine learning technologies by contributing to product integration, verification, validation and deployment activities. Work with clinical research partners and healthcare stakeholders to evaluate the clinical effectiveness and diagnostic performance of machine learning models and analytical ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

developing and operating production analytics in Python and DataBricks; building and maintaining PowerBI dashboards for governance, CRO reporting, and regulatory obligations; supporting risk model validation and backtesting; and providing analytics advisory services to Investment Risk Specialists. Key Responsibilities: Develop and maintain production risk analytics, risk-owned datasets, and PowerBI dashboards ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

improve customer journeys to ensure a seamless transition experience. Collaborate with technical, operational, and business teams to translate requirements into practical solutions. Support testing, validation, and migration activities to ensure successful delivery. Manage stakeholder relationships and provide regular updates across project teams. Ensure governance, risk, and regulatory considerations are incorporated ...

improve customer journeys to ensure a seamless transition experience. Collaborate with technical, operational, and business teams to translate requirements into practical solutions. Support testing, validation, and migration activities to ensure successful delivery. Manage stakeholder relationships and provide regular updates across project teams. Ensure governance, risk, and regulatory considerations are incorporated ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life ...

Senior Platform Engineer Department: Engineering Employment Type: Full Time Location: Glasgow Description Encompass enables fast, accurate identity validation and verification of corporate customers, and a gold standard approach to KYC. Our award-winning corporate digital identity (CDI) platform incorporates real-time data and documents from authoritative global public data sources ...

objectives into manageable tasks and activities. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...