51 to 75 of 379 Validation Jobs in Scotland

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 promote reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life ...

ensure functional correctness and timing closurePerform synthesis, static timing analysis, and support design-for-test (DFT) insertion and pattern generationCollaborate with analog, firmware, and validation teams to integrate digital content into mixed-signal SoCsAssist with silicon bring-up and debug; support lab measurements and correlation to simulationContribute to methodology improvements ...

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 ...

enabled analytics where appropriate to improve transparency, traceability, and regulatory compliance.Guide the implementation of regulatory reporting platforms and RegTech solutions while ensuring appropriate governance, validation, and oversight where AI-assisted capabilities are utilised.Build strong client relationships while contributing to business development, proposition development, mentoring, and the continued growth of Capco ...

diverse data access patternsApply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectationsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery ...

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

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 teamApplies knowledge of tools within the Software Development Life Cycle ...

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 Cycle ...

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 ...

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 ...

technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial services, providing strategic ...

architecture, security and governance standards Develop and maintain Dataverse data models, including relational data structures, security roles, business units, column-level security and data validation frameworks Design and implement integrations between Power Platform, enterprise applications, APIs, ERP systems, databases, Azure services and custom connectors to support end-to-end business ...

code/no-code solutions to improve monitoring, assurance or reporting activity. Understanding of responsible AI use, including the need for human judgement, validation, data protection, clear records and appropriate challenge of outputs. Ability to work effectively with assurance specialists, Technology, data owners and system vendors, translating between business, assurance ...

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 teamApply knowledge of tools within the Software Development Life Cycle ...

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 teamApply knowledge of tools within the Software Development Life Cycle ...

Embed appropriate access controls, encryption, masking, segregation, retention, monitoring and audit requirements into technical designs. Data Quality and Observability - Define technical implementation patterns for validation, reconciliation, lineage capture, monitoring, alerting and incident investigation. Performance and Scalability - Assess and optimise technical designs for latency, throughput, availability, cost, resilience and maintainability. Integration ...

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 handling ...

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 teamApplies knowledge of tools within the Software Development Life Cycle ...

production services, reusable libraries and automation—not only scripts, notebooks or data analysis. Practical FastAPI and Pydantic experience covering API creation, schema design, complex validation, serialization, async processing, error handling and testing. Strong conceptual, logical, physical and metadata modelling , including canonical models, data contracts, source-to-target mapping, schema versioning ...

Infrastructure or Web application penetration testing Cloud security assessments Producing clear, high-quality technical reports Presenting findings and remediation advice to clients Supporting vulnerability validation and re-testing Contributing to internal tooling, research and knowledge sharing What we're looking for Essential Commercial penetration testing experience within a consultancy ...

efficiently Build automation frameworks using Python, Git, and Pytest, while exploring AI-powered testing with Gen-AI and AI/ML tools to enhance validation processes Contribute to test strategy, coverage, and risk-aware methodologies to strengthen quality assurance Deliver high-quality features for AI Connect, data center, and next ...