76 to 97 of 97 Validation Jobs in Lanarkshire

risk and metadata requirements into asset models and governance patterns the organisation can reuse. Developing Python and Pydantic-based components that support data governance, validation, workflows and integrations. Shaping and configuring models and operating structures to embed data governance at enterprise scale. Using AI-assisted development tools to improve speed … security, compliance and accuracy. What we're looking for: Strong Python development background with hands-on experience of Pydantic and FastAPI for data modelling, validation, schema design, serialisation and API development. Practical experience with JSON, YAML, REST APIs and SQL in data-heavy environments. Background in metadata and logical data ...

understanding of data migration strategies and methodologies, specifically in the context of SAP S/4HANA transitions. This includes expertise in data cleansing, transformation, validation, and the technical tools involved in migrating data to SAP S/4HANA. This role requires guiding cross functional teams, ensuring successful project delivery …/4 HANA MDG and Data Migration solutions, ensuring alignment with business needs, industry best practices, and technical standards. Define data models, workflows, validation rules, and integration points to optimize master data management processes. Provide technical leadership and guidance to project teams, including SAP MDG consultants, developers, and analysts. Establish ...

data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance … GitHub Copilot, ChatGPT or Claude responsibly. What were looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance and data quality . ...

data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance … Copilot, ChatGPT or Claude responsibly. What we’re looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance and data quality . ...

SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development … enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications ...

outputs and handling data according to sensitivity and security requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills:Formal training or certification … lineage analysis, metadata management, and data cataloguingDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating ...

outputs and handling data according to sensitivity and security requirementsApplies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectationsRequired Qualifications, Capabilities, and Skills:Formal training or certification … rule development, issue remediation, and preventative controlsDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted outputs (e.g., code, model/design summaries or operational checklists) before use, escalating ...

security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controlsUse enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting … using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivityAbility to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes ...

adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controls Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage … using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.Applies knowledge of tools within the Software Development Life Cycle toolchain, including … managing technologistsExperience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications ...

scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in engineering workflows, including security/ ...

scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency ...

scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/ ...

maintain software QA processes, standards, and acceptance criteria for onboard and ground segment software across the full development lifecycle. Ensure that software verification and validation activities are comprehensive and correctly executed. Ensure the Software Development Lifecycle meets applicable quality requirements and standards. Where situations require deviation from defined process, ensure … dependability and safety analysis methods. Experience with satellite operations or ground segment software in an operational environment. Experience supporting LEOP, commissioning, or in-orbit validation activities. Proficiency in scripting or data analysis for telemetry analysis. Background in configuration management in a regulated engineering environment. Experience with failure review boards ...

business requirements into robust functional architectures, blueprints, and target-state process workflowsPartner with technical architects and delivery leads to govern end-to-end testing, validation, and deployment strategiesLead functional design reviews, solution gates, and senior stakeholder alignment sessionsDemonstrate deep functional expertise across multiple core ServiceNow modules (ITSM/ITOM/… driving high-impact client transformationsPassion for delivery excellence and commitment to enabling client transformationDesirables:ServiceNow certifications (CSA, CAD, or multiple CIS) – highly regarded as validation of platform capability but not primary differentiatorUnderstanding of ServiceNow reporting, Performance Analytics, and advanced workflow automation capabilitiesCertified in ITIL Foundation or higher certificationsExperience managing project ...

As a Software Engineer III at JPMorganChase within the Climate Nature & Social Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in ...

scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teamsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive dataStrong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency ...

external customers, understanding system requirements, working with other design engineers to specify and accept sub system designs as well as creating verification and validation programs in the defence domain.The role holder reports to the Systems Engineering Discipline Manager.We are seeking a highly skilled Systems Engineer with a strong background … external customers to gather and understand system requirements.Work alongside design engineers to specify, review, and approve subsystem designs.Develop and implement robust verification and validation programs to ensure compliance with defence standards and operational needs.Act as a key technical interface between stakeholders, providing expert guidance throughout the system development lifecycle.Qualifications:Experience ...

within the work environment across technology risk and controls operations to accelerate evidence synthesis, issue analysis, and executive reporting, with human-in-the-loop validation and appropriate handling of sensitive data. Identify and escalate emerging and upstream technology risk through execution of the Firm's management framework tools, including risk … assessment, and mitigation Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment within technology risk and controls workflows, including validation practices and awareness of data sensitivity. Ability to define review/approval and escalation expectations for AI-assisted recommendations while maintaining security, auditability, and regulatory ...

management team.Your mission:Coordinate the creation of critical artefacts such as operations concepts, functional and system architectures, requirement and compliance statements, and verification and validation planning.Conduct optioneering assessments and design risk assessments (safety and CDM) to ensure robust project planning.Support integrated technical management by navigating technical and project risks, refining … days remote per week.QualificationsCoordinate the creation of critical artefacts such as operations concepts, functional and system architectures, requirement and compliance statements, and verification and validation planning.Conduct optioneering assessments and design risk assessments (safety and CDM) to ensure robust project planning.Support integrated technical management by navigating technical and project risks, refining ...

monitoring circuit designDesign verification through circuit simulations, including worst-case analysisSignal and Power integrity simulation and analysisPeer review of schematics and layoutsBoard bring-up, validation and debuggingAssisting the validation and qualification process for testing new and existing systems.Key Skills:Electronics theory, including component knowledge and analogue and digital circuitry expertise.Board ...