1 to 25 of 357 Validation Jobs in Scotland

Snowflake including legacy EDW estates (e.g., Teradata, SQL Server), data lakes/lakehouses, and integration platforms covering migration assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context ...

Testers to support refinement, prioritisation, delivery clarification and implementation readiness. Testing and Quality Assurance - Support test scenario definition, UAT coordination, defect triage and validation that delivered functionality aligns with agreed requirements and acceptance criteria. Client Reporting Context - Support the ongoing evolution of Rathbones' reporting capabilities, helping to improve the quality ...

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 ...

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 ...

Server databases, ETL processes and data integrations, ensuring information flows efficiently across business systems. Alongside this, you'll help manage the governance, validation and maintenance of master data, working collaboratively with teams across the business to improve consistency and data quality. As part of our ongoing digital transformation ...

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 ...

GFCC MI reporting suite, including dashboard governance, change management, issue resolution and periodic reviews to ensure reporting remains fit for purpose. Oversee data validation and control frameworks to ensure the accuracy, completeness and integrity of financial crime management information across reporting processes and systems. Other tasks and activities within ...

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 ...

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 ...

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/ ...

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 ...

future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future platform. Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with ...

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 ...

Engineer – Hybrid (Fixed Term 12 months) Location: Harlow, Essex (Hybrid) Clearance: SC Eligible Responsibilities Deployment & Technical Support: Support the initial deployment, configuration, and technical validation of the new financial platform; provide hands‐on troubleshooting and issue resolution across application, interface and configuration layers; work closely with infrastructure, network, and security ...

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 ...

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 ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

cases. Configure and maintain Informatica MDM Hub, C360, and R360 components for mastering party, product, or reference data. Establish and enforce data quality principles, validation rules, and match-merge best practices. Drive continuous improvement through performance tuning, process automation, and documentation. Work closely with business stakeholders and technical teams ...

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 ...