1 to 25 of 101 Validation Jobs in Glasgow

Fabric Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements ...

reuse. Gather requirements covering metadata, taxonomy, lineage, ownership, entitlements, search, onboarding, and data quality. Define requirements for mastered data, including identifier design and lifecycle, validation, matching, mapping, hierarchies, and cross-references. Use SQL or similar analytical tools to investigate datasets, validate requirements, and support product decisions. Stakeholder Collaboration & Improvement Work ...

Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency ...

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 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/ ...

similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards ...

testing web applications, APIs, and integrated systems.· Experience writing and executing SQL queries, with the ability to understand database structures and interrogate data for validation and analysis**Desirable Skills & Experience:**· ISTQB certification or equivalent.· Experience testing within an Intelligent Transport Systems environment.· Experience implementing test automation within CI/ ...

.• Work with technical teams to ensure requirements are understood and delivered in line with agreed outcomes.• Support customer workshops, playback sessions and requirements validation activities.• Contribute to workflow diagrams, functional designs and business process documentation.• Work collaboratively with architects, consultants, developers, testers and change and enablement teams throughout implementations.Customer ...

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 ...

into robust technical solutions Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops Required qualifications, capabilities ...

others Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities ...

information exchange Multi-Level Security architectures Trusted Gateway Services Secure Replication Services Guard-based Information Exchange Experience implementing and managing information release policies, content validation controls, file sanitisation processes, malware inspection, and data transfer governance. Strong understanding of trust boundaries, security domains, data segregation, and secure information sharing principles. Experience ...

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, 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. 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 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 ...

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 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. Applies knowledge of tools within the Software Development Life ...

create measurable value. Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Contribute to the engineering community by advocating firmwide frameworks ...

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 ...