101 to 125 of 379 Validation Jobs in Scotland

information assets. Evaluate and implement tools to support data quality management across the lifecycle (including being hands‐on with data cleansing and data validation processes). Share insights and improvement requirements, so that they can be prioritised as part of an agile development and release process Skills Deep technical proficiency ...

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 migration strategy and plan, producing mapping specifications from legacy systems to future Software as a Service (SaaS) solutions. Define cleansing, transformation and validation rules, coordinate mock loads, reconciliation cycles and final cut over across all data in the project scope. Resolve complex data issues with functional subject matter experts ...

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 ...

OSPF, IS-IS, VXLAN, VLANs, HSRP/VRRP, routing policy, multicast, and related enterprise services Undertake hands‐on build, proof‐of‐concept, lab validation, and technical testing activity to de‐risk delivery and validate designs before deployment into production Troubleshoot and resolve complex technical issues encountered during project delivery, implementation ...

incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security ...

lifecycle knowledge. Understanding of radar and RF technologies. Understanding of Electronic Warfare principles. Integration of complex system architectures. Requirements management and traceability. Verification and validation planning. Technical analysis and problem solving. Stakeholder engagement and technical communication. Defensive Aids Sub-Systems (DASS). Radar Warning Receivers (RWR). Electronic Support Measures ...

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 ...

engagements benefit from it Experience within financial services, particularly wealth, private banking, or asset management Experience designing or contributing to AI governance, model validation, or guardrail frameworks Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr ...

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

responsible application of AI to improve surveillance effectiveness and reduce false positives.Support AI model tuning and optimisation activities within surveillance environments, ensuring appropriate governance, validation, auditability, and human oversight.Engage stakeholders across business, technology, compliance, and risk functions to deliver collaborative, data-driven transformation initiatives.What We're Looking ForExperience in enterprise ...

procurement and executive stakeholders. Understanding of the drug discovery process, early-phase R&D and the role of data-driven insight in target discovery, validation, biomarker development and translational research. Ability to support pricing, forecasting, financial planning, recruitment and business operations in a growth-stage environment. High levels of credibility ...

through solutions such as RPA, AI-enabled workflows, digital technologies, and data-driven reporting.Manage project governance, risks, and stakeholder communications, ensuring appropriate oversight and validation where AI-assisted tools are utilised.Build trusted advisor relationships with senior leaders while contributing to business development and identifying innovative approaches to finance transformation.What ...

digital products and servicesProduce high-fidelity prototypes to communicate and validate interaction logic with users and developersDefine and document micro-interactions, error states, validation patterns, and edge casesApply and extend the GOV.UK Design System, contributing reusable patterns where appropriateCollaborate closely with engineering teams to ensure accurate, accessible implementation of designsEnsure ...

applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standardsRequired Qualifications, Capabilities, and SkillsSignificant experience in software engineering with formal ...

concept demonstrators to evaluate new technologies and solutions and showcase their value to customersDefine and execute experiments, analyse data, and drive lab-based validation to characterise performance, validate hypotheses, and guide technical directionDevelop models, algorithms and analysis techniques to investigate new concepts and address complex problemsIterate quickly when results ...

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 team Apply 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 frameworksJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy ...

influence architecture definition and microarchitecture decisions Translate system requirements into detailed specifications and high-quality RTL implementations Work closely with verification, physical design, and validation teams to ensure first-silicon success Drive quality, power, and area optimization across the design Mentor junior engineers and contribute to engineering best practices Collaborate ...

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

incident management in distributed systemsWorking knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data ...

international travel, as engagements benefit from itExperience within financial services, particularly wealth, private banking, or asset managementExperience 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 ...