1 to 25 of 379 Validation Jobs in Scotland

Fabric Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements ...

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 ...

forums.Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency ...

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 ...

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 skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

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 ...

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 ...

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 skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case 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 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 ...

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 ...

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 ...

building self-service ML tooling - model catalogues, automated pipelines, feature stores, and explainability (SHAP, LIME) surfaced to non-technical users. Understanding of industry-standard validation and testing for LLMs - ground-truth evaluation datasets, accuracy, hallucination and toxicity metrics, guardrails and content moderation, red-teaming, and embedding evals into CI/ ...

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 ...

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 ...

similar orchestration tools Experience with relational databases and SQL; familiarity with NoSQL databases and data modeling concepts Knowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patterns Ability to develop, debug, and maintain code in large enterprise environments with established controls and standards ...

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 ...

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 analysis**Desirable Skills & Experience:**· ISTQB certification or equivalent.· Experience testing within an Intelligent Transport Systems environment.· Experience implementing test automation within CI/ ...

solutions meet defined product requirements, performance standards and business objectives. Support the successful commercialisation of machine learning technologies by contributing to product integration, verification, validation and deployment activities. Work with clinical research partners and healthcare stakeholders to evaluate the clinical effectiveness and diagnostic performance of machine learning models and analytical ...