1 to 25 of 162 Validation Jobs in Scotland

maintain high-quality automated test scripts using modern testing frameworks (e.g. Selenium, WebdriverIO, Cypress )Integrate automated tests within CI/CD pipelines for continuous validation, experience with Azure Devops will be a great bonus.Familiarity with performance, load and stress testing tools like JMeterAdditional InformationWhy Version 1 At Version ...

change impacts across systems, processes, data and teams, identifying risks, assumptions, constraints and dependencies.Work with test teams and stakeholders to support test scenario definition, validation, defect triage and solution acceptance.Champion customer and colleague needs throughout analysis and delivery, ensuring solutions are practical, usable and aligned to the intended experience.Collaborate effectively ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

Power Platform, Power Automate, and Dataverse — or equivalent — to reduce manual effort across P&C processes.Lead business requirements, use case development, UAT and business validation for P&C data, reporting and analytics outputs and AI products.Support P&C stakeholders in moving from manual reporting to governed, AI-enabled analytics — translating ...

continuous improvementDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patternsApply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation ...

communication skills, providing clear updates to stakeholders across levels.Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices.Preferred qualifications, capabilities, and skillsExperienced in using Business Driven Development/Test Driven Development test methodology or test case automation.Experienced in using ...

workflows.Use Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers.Lead UAT and business validation for analytics outputs and AI products.Work closely with business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. ...

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 ...

Proof of Concept demonstrationsFacilitate requirements gathering, design, and gap analysis workshopsOversee functional configuration and provide technical input on integrations and data migrationConduct solution validation and user trainingProvide post go-live functional support and ongoing advisory servicesEnsure timely and quality project delivery while managing client expectationsQualificationsAbout YouYou’ll be a trusted ...

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 within ...

enterprise programmesConfigure Oracle Cloud instances for client Proofs of Concept and demonstrationsRun requirements gathering, design, and gap analysis workshopsLead application configuration and solution validation workshopsDrive functional ownership of:Data migration activitiesIntegrations with peripheral systemsTesting strategy, script creation, and UAT supportDeliver high-quality reporting solutions using:Oracle Transactional BI (OTBI)Financial ...

scale.Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.Good foundation in statistics, probability, optimization, experimentation, and applied machine learning.Advanced proficiency in Python and modern AI frameworks, including ...

PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g. ...

PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g. ...

Evaluate, select, and implement data quality tools and technologies to automate data quality checks, monitoring, and reporting processes, including those that can support the validation of unstructured or semi-structured data relevant for Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data ...

Evaluate, select, and implement data quality tools and technologies to automate data quality checks, monitoring, and reporting processes, including those that can support the validation of unstructured or semi-structured data relevant for Generative AIOptimise existing data quality processes for efficiency and effectivenessCollaboration & Training:Work closely with the businesses, Data ...

Role: **Lead and motivate global project teams across the full project lifecycle **Define scope, manage requirements and evaluate technical solutions **Oversee configuration, commissioning, validation and acceptance **Support implementation and business change management **Produce clear project plans, reports and governance updates **Engage with senior stakeholders and IT Steering Committees **Ensure smooth ...

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 analysisDesirable Skills & Experience:· ISTQB certification or equivalent.· Experience testing within an Intelligent Transport Systems environment.· Experience implementing test automation within CI/CD pipelines. ...

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

lead the identification, design, and implementation of automation opportunities across the Controllership function. Develop Python-based solutions to automate data collection, reconciliation, reporting, validation, and control activities.Build and maintain Power BI dashboards and reporting solutions to improve management insight and operational transparency.Support the adoption and development of new tools such ...

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 ...