101 to 125 of 962 Validation Jobs in the UK

expectations, prioritise work based on business value, and translate technical findings into commercial language. Champion data accuracy and consistency; implement best practices for data validation and documentation. About you: 4+ years experience as a Data Analyst or Analytics Engineer. Advanced proficiency in SQL (Window functions, CTEs, query optimization) for complex ...

quality gates at enterprise scale Prompt testing and evaluation : Implement and maintain robust evaluation frameworks (like LLM Evals) to automate the testing and validation of Generative AI prompt outputs and model performance Hybrid cloud test environments : Design and implement our Kubernetes-native test deployment model that works seamlessly across ...

jobs, async programming, dependency injection, unit/integration testing frameworks. • Security Concepts: OWASP Top 10/ASVS, threat modelling, OAuth2/OIDC, TLS, input validation, secrets management, RBAC/ABAC. • Cloud & DevOps: Azure (App Service/AKS/Functions), IaC (Terraform/Bicep), CI/CD pipelines, containers (Docker), observability ...

Server and AI Agent experience The consumption of MCP endpoints from 3rd parties Complex data requirements and solutions System integration challenges and implementations Data validation and error handling Quality assurance and testing approaches Essential Soft Skills Leadership ability Quick decision-making capabilities Clear communication and reasoning Ability to defend ...

Support business development activities, including proposal writing and identifying new opportunities Collaborate with cross-functional teams including design, manufacturing, and commercial functions Oversee testing, validation, and prototype evaluation to support product development and verification Ensure compliance with internal processes, quality standards, and relevant regulatory requirements Manage analysis data, documentation ...

modelling principles Define and Implement Best Practice Establish scalable standards for: Data modelling (e.g. dimensional modelling, layered architecture) Transformation workflows (ELT patterns) Testing and validation Documentation and governance Introduce modern development practices (e.g. version control, CI/CD where appropriate) Hands-On Delivery Build and optimise data models, transformations ...

pipelines – develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run Implement CI/CD for ML workloads – automated validation, monitoring, rollback strategies, and model lifecycle management Establish reliability and governance – logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage ...

production stability. Engineering & AI Execution Lead cross‐functional teams across engineering, data science, and ML engineering. Establish best practices for AI development, including model validation, monitoring, and retraining. Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing). Ensure seamless collaboration between data, product, and engineering teams. ...

assurance processes to ensure systems are reliable and fit for purpose Respond quickly to defects, incidents, and changing requirements with clear analysis and effective validation We Raise the Bar Champion high standards for product quality, usability, and performance Continuously improve test strategies, automation, and QA processes Advocate for best practices ...

ethics and processes, Trust guidance and best practice. 3. Lead on analysis of statistical models and algorithms, including quality standards, bias-risk assessments and validation, and evaluate and report on the predictive utility and interpretability of different tools. 4. Review current development techniques and identify and recommend opportunities for improvement ...

tools and platforms remain cutting‐edge. Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production. Monitor and maintain compliance of deployed AI tools through regular security audits, vulnerability assessments, and updates ...

moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role ...

solutions to diverse stakeholders. Advanced SQL and scripting skills (UNIX/Shell/PowerShell) used to architect complex test data management solutions and backend validation processes. Demonstrated expertise in combining advanced technical execution with strategic oversight, successfully driving firm-wide quality standards while providing cross-project mentorship and guidance. Desirable ...

assurance activities across complex, multi-supplier programmes. The role combines traditional full lifecycle testing with modern DevOps engineering practices, cloud-based automation, data validation, and analytical dashboard assurance. Working closely with the Senior Test Manager, the postholder ensures that all test activities meet programme quality objectives, supplier deliverables, and governance … Jenkins, GitHub Actions). Drive regression coverage, continuous testing, and quality gate enforcement. Demonstrate measurable improvements in testing efficiency and quality outcomes. Backend Data Validation (MySQL) Write and execute MySQL/SQL queries to perform backend data integrity checks. Validate stored procedures and end-to-end data flows between integrated ...

financial institution, ensuring the integrity of data used for Board-level reporting. You will act as the single point of responsibility for data collection, validation, and transformation for a specific asset class. Core Responsibilities Data Lifecycle: Lead the transport, cleansing, and loading of raw data into the enterprise data warehouse. ...

between Finance and IT teams throughout the project lifecycle Review and optimise existing finance system processes and workflows Ensure accurate data migration, reconciliation, and validation Support system configuration, testing (UAT), and deployment phases Identify and resolve system issues and discrepancies Deliver user training and provide post-implementation support Maintain documentation ...

in... Developing a comprehensive Workday data testing strategy and execution plan(s) Defining testing scope for conversions, integrations, and data loads and identify data validation rules, acceptance criteria, and reconciliation logic. Working with IS Project Management to ensure compliance to quality gates Working closely with Workday functional leads, data migration ...

ownership of complex tasks across the full software lifecycle—from requirements to integration, testing and delivery. · Apply object-oriented design principles and verification/validation techniques. · Collaborate with a skilled team while maintaining independence in your work. What We're Looking For · Proven ability in C# .NET development including ...

governance of all D365 environments. Support configuration management and controlled promotion of configuration and code across environments. Assist with data migration activities, including validation, reconciliation and cutover support. Support testing activities (SIT and UAT), including environment readiness, defect triage and resolution support. Support governance, control and audit requirements, including access ...

business and system requirements Analyse current ("as-is") processes and design improved ("to-be") workflows Support data and migration activities, including data mapping and validation Collaborate with technical teams, vendors, and project managers Facilitate workshops, interviews, and user acceptance testing (UAT) Ensure alignment with regulatory and local government requirements ...

/access related use cases Work with data linked to users, roles, entitlements, access controls, privileged accounts and audit requirements Automate ingestion, transformation and validation of data from enterprise systems Support governance, lineage, quality controls and operational monitoring Work closely with IAM, security, infrastructure and data stakeholders in an agile ...

based models, and SCD Type 2 handling Experience designing and building scalable data ingestion, transformation, and serving pipelines Ability to implement data quality rules, validation frameworks, and testing patterns across data pipelines Experience performance tuning pipelines, including partitioning, latency optimisation, and compute efficiency Strong understanding of data governance, access control ...

interviews Identify process improvements and support business change initiatives Ensure requirements traceability and alignment with organisational objectives Support testing activities, including UAT coordination and validation Produce high-quality documentation, including business cases, process maps, and reports Key Skills & Experience Proven experience as a Business Analyst, ideally within the public sector ...

tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools ...

standard ticket triage/prioritization. Preferred qualifications: Experience supporting trading systems or desks at a large investment bank. SQL proficiency for rapid data validation and incident triage. Experience with object-oriented programming and microservices-based Java/SOA environments. Monitoring/alerting setup and tuning (e.g., Prometheus, Grafana, Kibana, PagerDuty ...