426 to 450 of 4,266 Validation Jobs in the UK

intended across our products and research projects. This function supports the design and delivery of RF and mixed-signal hardware platforms through hands‐on validation of system performance. From early hardware bring‐up through to structured product validation, test engineering helps us understand how systems actually behave and feeds that … test results and working with engineers to diagnose and resolve performance issues across analogue, mixed‐signal, and digital domains. Working with QA and product validation teams to develop structured, repeatable test procedures that support product releases. Maintaining and improving lab test setups, equipment configurations, and test infrastructure over time. Producing ...

execute manual and automated tests across projects, collaborating with cross‐functional groups and stakeholders. This role requires hands‐on testing, API and data validation using SQL, Postman, Selenium/Playwright, and Agile/Scrum experience. SC clearance is required for government client work, with 2–3 days per week ...

solutions that enable high-quality data products and services. Initially focused on Data Management activities, you will play a key role in data profiling, validation, quality management and issue resolution while growing into broader Data Engineering ownership. Working closely with technical teams and business stakeholders, you will translate data requirements … engineering practices. Evaluate technical approaches and recommend solutions that balance delivery, data quality, testing and maintainability. Perform Data Management activities, including data profiling, validation, quality management and investigation and resolution of data issues. Troubleshoot data engineering issues, identify root causes and implement sustainable fixes. Identify opportunities for automation, including ...

technology, enterprise applications, data platforms and analytics environments. It ensures integrations are managed as reusable capabilities with appropriate standards for interoperability, semantics, observability, security, validation, and support. The role works with Product Owners, business and data owners, sites, architects, engineers, service teams, Quality, Cyber Security and external partners. It remains … recovery and service‐level expectations in the roadmap and definition of done. Ensure product initiatives satisfy applicable governance for cyber security, data protection, quality, validation, records management, change control, architecture, service readiness and operational resilience. Manage product risks, technical debt, obsolescence, duplicated interfaces and critical dependencies through appropriate governance. Lead ...

solutions that enable high-quality data products and services. Initially focused on Data Management activities, you will play a key role in data profiling, validation, quality management and issue resolution while growing into broader Data Engineering ownership.Working closely with technical teams and business stakeholders, you will translate data requirements into … engineering practices.* Evaluate technical approaches and recommend solutions that balance delivery, data quality, testing and maintainability.* Perform Data Management activities, including data profiling, validation, quality management and investigation and resolution of data issues.* Troubleshoot data engineering issues, identify root causes and implement sustainable fixes.* Identify opportunities for automation, including ...

notebooks, Delta tables, workflows and scheduled analytical pipelines. Working proficiency with Git/Azure DevOps, pull requests and controlled production changes. Strong data-validation, reconciliation and audit-trail practices. Nice to have: Loyalty economics, retail fuel/convenience or CRM-domain experience. Power BI or certified reporting-layer experience. Production … pipeline design beyond analytical notebooks, including Delta MERGE, idempotency and incremental processing. Experimentation or uplift-model validation experience. BNA or customer-decisioning exposure. MUST HAVE high-volume customer, payment, loyalty and transaction analysis Data Scientist Role Overview: Lead Data Scientist - Customer Intelligence, Incrementality & Value Measurement Primary focus: SCI/customer ...

data quality, control improvement and automation. Responsibilities Role specific: Lead application onboarding into the in‐house IAM governance platform, including data‐source identification, mapping, validation and production readiness. Lead database onboarding into IAM governance, including access‐source identification, account/role/privilege mapping, data validation and readiness for monitoring … access reviews. Lead OS/server onboarding into IAM governance, including Windows/Linux access sources, local and privileged access, group mappings, validation and ongoing monitoring readiness. Work with technology teams to establish reliable access data feeds and resolve data‐quality or integration issues. Use and enhance the IAM platform ...

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. Establishes clear “where AI helps/where it must … model for AI-assisted development (approved use cases, do/don’t guidance, and escalation paths) so teams use tools consistently and responsibly. Establishes validation standards for AI outputs—mandatory peer review, secure coding checks, and automated test requirements—before any AI-assisted change is merged or released. Strong understanding ...

audiences Quality & compliance Follow and help uphold the software development lifecycle in line with GAMP 5 and IEC 62304, including planning, design, verification and validation Produce and maintain software and analysis documentation, including requirements, design, traceability and verification records Make sure development activities comply with the QMS and records … learning models Expert in Python and modern ML frameworks Experience with model evaluation beyond accuracy: calibration, uncertainty, top-k performance, subgroup analysis and external validation Experience handling large, heterogeneous clinical imaging datasets, including data curation, quality control and label noise Understanding of dataset shift and generalisation across sites, devices ...

AI. We are looking for experience across the following core business analysis capabilities: Strong foundational business analysis skills, including requirements elicitation, analysis, documentation, validation, and ongoing management across the delivery lifecycle. Ability to understand business problems and change needs, and translate these into clear, structured, and actionable requirements that support … BPMN, process modelling, and impact assessment, and the ability to apply these appropriately. Ability to analyse business and operational data to support requirements validation, identify trends, and highlight risks, assumptions, or data quality issues. Experience engaging with a wide range of business and technical stakeholders to build shared understanding, manage ...

data quality, control improvement and automation. Responsibilities Role specific: Lead application onboarding into the in-house IAM governance platform, including data-source identification, mapping, validation and production readiness. Lead database onboarding into IAM governance, including access-source identification, account/role/privilege mapping, data validation and readiness for monitoring … access reviews. Lead OS/server onboarding into IAM governance, including Windows/Linux access sources, local and privileged access, group mappings, validation and ongoing monitoring readiness. Work with technology teams to establish reliable access data feeds and resolve data-quality or integration issues. Use and enhance the IAM platform ...

enforce strong data-change discipline so SDK changes do not unintentionally alter critical metrics, schemas, or downstream product behaviour. Lead experiment rollout and validation practices (feature flags, quality checks, and post-release verification) to confirm behaviour changes as expected. Maintain compliance and policy alignment across privacy and platform requirements, including … data literacy, including SQL proficiency, ability to work with Python for analysis, and practical experience in data quality monitoring. Experience with experiment design and validation in software releases, especially where data integrity is business-critical. Strong understanding of telemetry/schema change management and the downstream impact of data contract ...

teams. Key Responsibilities Provide expert guidance on SAS architecture, data flows, platform design, and cloud re-platforming approaches. Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge … articles. Ensure SAS data integrity throughout migration, testing, validation, and dual-running activities. Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience as a SAS Subject Matter Expert , including SAS architecture, administration, and analytics platforms. Strong understanding ...

successful candidate will lead cloud and AI security assessments, define secure architecture patterns, improve posture and monitoring, investigate complex security issues, automate control validation, and provide clear risk-based recommendations to technical and senior stakeholders. Key Responsibilities Cloud Platform, Identity & Workload Security Define and continuously improve security controls and reference … technology lifecycle. Cloud Posture, Exposure & Security Assurance Own and improve cloud security posture and workload-protection processes, including platform onboarding, control baselining, finding validation, risk prioritization, remediation tracking, exception handling, and integration with governance processes. Support vulnerability and exposure management across internet-facing assets, cloud workloads, applications, containers, and SaaS ...

Python e dei principali framework ML/DL Esperienza nello sviluppo di API REST tramite FastAPI Conoscenza approfondita di Pydantic per data modeling e validation Esperienza nell’utilizzo di Microsoft Azure e dei principali servizi cloud correlati ad AI/ML Esperienza nella progettazione di pipeline … Capacità di integrazione dei modelli in sistemi di produzione scalabili Conoscenza delle principali tecniche di training, validation, tuning e monitoraggio dei modelli Esperienza con strumenti di versionamento codice, CI/CD e containerizzazione Ottime capacità di problem solving e autonomia tecnica Esperienza nella gestione della technical delivery e coordinamento tecnico ...

end. Key Responsibilities Develop and deliver MI reports, dashboards, and analytics solutions using Power BI . Perform data discovery, data analysis, and validation activities using SQL and reporting tools. Work closely with Business Analysts to refine requirements and create user stories. Build reporting solutions from requirements through to testing … analysis and dataset reviews. Essential Skills & Experience Strong hands-on Power BI experience, including recent dashboard development. Strong SQL skills for data analysis, discovery, validation, and reporting. Experience using Power Query for data preparation and transformation. Proven experience developing reporting and dashboard solutions end-to-end. Experience working independently ...

with Cloud Engineering Develop automation using PowerShell, Python, Terraform, Ansible, APIs, Git, and CI/CD pipelines for configuration management, backups, monitoring, and compliance validation Drive continuous improvement and engineering standards, support NetApp storage networking (SAN, iSCSI, Fibre Channel), and evaluate emerging technologies Operational Resilience, Governance & Leadership Support disaster recovery … business continuity, and resilience initiatives through design reviews, testing, failover exercises, and recovery validation Maintain runbooks, architecture diagrams, IPAM data, and recovery procedures, ensuring changes comply with change, security, audit, and regulatory procedures, and provide technical evidence for audits and regulatory reviews Act as the senior escalation point for complex ...

regulatory obligations into clear, actionable requirements for business processes, technology solutions and controls. Maintain requirements traceability and support prioritisation, refinement, change control and validation throughout the delivery lifecycle. Work with product managers, technology teams and other delivery stakeholders to ensure requirements are understood, feasible, testable and aligned with programme objectives. … Collaborate with product managers, technology teams, data specialists and AI practitioners to assess feasibility, refine solution designs and support implementation. Define acceptance criteria and validation scenarios to assess whether AI-enabled capabilities meet business needs and perform as intended. Responsible AI, Governance and Assurance Translate relevant AI policies, standards, governance ...

teams. Key Responsibilities Provide expert guidance on SAS architecture, data flows, platform design, and cloud re-platforming approaches. Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams. Support the development of High-Level Designs (HLDs), Low-Level Designs (LLDs), technical documentation, and knowledge … articles. Ensure SAS data integrity throughout migration, testing, validation, and dual-running activities. Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience as a SAS Subject Matter Expert , including SAS architecture, administration, and analytics platforms. Strong understanding ...

technology, enterprise applications, data platforms and analytics environments. It ensures integrations are managed as reusable capabilities with appropriate standards for interoperability, semantics, observability, security, validation, and support. The role works with Product Owners, business and data owners, sites, architects, engineers, service teams, Quality, Cyber Security and external partners. It remains … recovery and service-level expectations in the roadmap and definition of done. Ensure product initiatives satisfy applicable governance for cyber security, data protection, quality, validation, records management, change control, architecture, service readiness and operational resilience. Manage product risks, technical debt, obsolescence, duplicated interfaces and critical dependencies through appropriate governance. Lead ...

Undertake hardware bring-up, bootloader development, power-mode configuration and system-level hardware debugging. Contribute to schematic design, PCB layout reviews, hardware integration and validation activities. Ensure embedded designs meet applicable security, reliability and electromagnetic compatibility (EMC/EMI) requirements. Lead technical design reviews, assess engineering risks and make informed … hardware/software integration. Experience with Git, CI/CD, GitHub, Azure DevOps, Jira, unit testing and automated test systems. Practical skills in hardware validation, fault-finding, system-level debugging, soldering and prototyping. Strong analytical and problem-solving abilities, with experience leading technical decisions, collaborating across engineering teams and mentoring ...

methods. Measure gains over base-model and prompting/RAG baselines, including generalization, regressions, data leakage, and operating costs. Collaborate on the packaging and validation of fine-tuned model artifacts and adapters. Agentic AI, MCP & A2A Apply modeling and evaluation expertise to intent routing, agent/skill discovery, MCP tool … model, prompt, retrieval, and routing decisions. Implement and maintain reproducible experimentation, model evaluation, and lifecycle workflows for assigned AI/ML initiatives, including automated validation and production readiness checks. MLOps, LLMOps & Model Lifecycle Apply reproducible experiment tracking across datasets, code, model versions, hyperparameters, prompts, retrieval configurations, metrics, and artifacts. Develop ...

methods. Measure gains over base‐model and prompting/RAG baselines, including generalization, regressions, data leakage, and operating costs. Collaborate on the packaging and validation of fine‐tuned model artifacts and adapters. Agentic AI, MCP & A2A Apply modeling and evaluation expertise to intent routing, agent/skill discovery, MCP tool … model, prompt, retrieval, and routing decisions. Implement and maintain reproducible experimentation, model evaluation, and lifecycle workflows for assigned AI/ML initiatives, including automated validation and production readiness checks. MLOps, LLMOps & Model Lifecycle Apply reproducible experiment tracking across datasets, code, model versions, hyperparameters, prompts, retrieval configurations, metrics, and artifacts. Develop ...

Drive Product Backlog management, refinement, and sprint prioritization Lead Data Modelling, Mapping across vendors and internal feeds Data Mining, Profiling, Transformation, and advanced SQL validation Work closely with stakeholders - Clients across lines of businesses, Operational partners, IT, PMO Drive interface strategy and design - Web GUI/API Lead engagements with … experience in documenting functional/technical specifications, epics, and user stories Expertise in Master or Reference Data space (preferred Instrument or Corporate Actions lifecycle) Validation and testing in collaboration with Dev/QA/Operations Experience with business process reengineering, business systems development, and modern system architectures (Cloud, APIs) Demonstrated ...

complexity. Create and manage automated reporting schedules and reporting solutions. Produce regular and ad-hoc management information reports for stakeholders. Perform detailed data analysis, validation and reconciliations. Analyse HR and payroll data to identify discrepancies, trends and opportunities for improvement. Support the configuration, administration and development of the MHR iTrent … developing complex and automated reporting solutions. Strong data analysis and reconciliation skills. Advanced Microsoft Excel or Google Sheets skills, including: Formulas Pivot Tables Data Validation Lookup Functions Data Analysis Techniques Experience managing HR, Payroll or Workforce Management data. Experience supporting enterprise business systems within a complex environment. Knowledge of system ...