26 to 50 of 1,519 Validation Jobs in London

technical liaison and strategic partner toplanning teams, client stakeholders, and cross-functional departments,translatingbusiness specifications into precise technical requirements for implementation. Design andenforce robust validation and auditingprocessesto ensure the highest levels of data integrity, consistency, and reliability across all platforms. Oversee the development and maintenance ofdata pipelines and data models ...

complete picture of an organisation. Data Literacy: Confident working with data products and APIs; an understanding of SQL or analytics tooling for sizing, validation, and system mapping. Agile Expertise: Experience working in Agile teams, supporting ceremonies, and writing technical user stories. Stakeholder Management: Excellent facilitation skills with the confidence ...

quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations Build scalable, automated processes for delivering analytical results across multiple programs and data types ...

innovation Champion delivery best practices across WWT’s consulting, engineering and integration capabilities. Leverage WWT’s Advanced Technology Center (ATC) to accelerate solution validation, prototyping and customer innovation. Promote automation and modern delivery models to improve efficiency and outcomes. Drive standardization and scalability across engagements while tailoring approaches to client ...

operations Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance ...

insights.* Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems.* Develop and evaluate insightful models using robust performance and validation methodologies.* Communicate findings and recommendations clearly to both technical and non-technical stakeholders.* Contribute to development of innovative AI, machine learning and advanced analytics capabilities. ...

decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code ...

business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing, validation, and quality assurance activities Proficiency with GitHub or equivalent version control platforms, including code reviews, testing frameworks, and CI/CD practices Demonstrated ability ...

JMeter for performance and load testing. JavaScript/TypeScript are also in use. C#/JavaScript Test automation frameworks Postman SQL and data validation REST APIs Azure-hosted applications and services Gherkin/BDD Event-driven architectures CI/CD pipelines Preferred experience Insurance, financial services, fintech or other complex ...

including data extraction and manipulation using SQL. Practical experience with Oracle OL/SQL and R-SQL. Ability to develop, implement and maintain data validation, integrity and reconciliation controls, investigate discrepancies, and implement corrective actions to improve data quality and reporting accuracy. Demonstrated experience enhancing or migrating legacy Excel/ ...

sector or accessible digital services Strong communication and stakeholder collaboration skills Exposure to AI/ML-enabled development, including LLMs, context and guardrails‐style validation/testing, and model deployment/maintenance concepts Strong communication skills and ability to work effectively in a hybrid environment Due to the volume ...

Configuration Support Work closely with technical consultants to translate requirements into platform configurations Support data migration activities including legacy data mapping, template preparation, and validation Assist in creating and reviewing test cases for UAT (User Acceptance Testing) Facilitate UAT sessions and track defect resolution through to closure Project Delivery Collaborate ...

support SOAR and automation initiatives using technologies such as Microsoft Sentinel Automation, Cortex XSOAR, Splunk SOAR, Tines, and Swimlane . Threat Analysis & Detection Validation Validate the effectiveness of security detections through threat-focused analysis and threat hunting activities. Perform quality assurance reviews of detection rules and analyst handling processes. Review ...

delivered on time, within budget and to a high quality. The role is accountable for driving the adoption of best practice across modelling, experimentation, validation and implementation, ensuring insights translate into practical and measurable business outcomes. The Data Science Manager will provide technical leadership across advanced analytics, machine learning ...

delivery milestones.Identify and proactively resolve risks, issues, and delivery blockers to ensure successful programme outcomes.**Data, Reporting & Integration Management**Coordinate data cleansing, migration, mapping, validation, reconciliation, and business sign-off activities.Ensure reporting, analytics, and integration requirements are clearly defined, delivered, and aligned with business objectives.Drive stakeholder readiness for data adoption ...

through to consumption. Analytical engineering depth: translates business requirements into maintainable data models and performant transformation logic. Data quality discipline: designs for validation, testability, lineage awareness, and predictable operational behaviour. Collaboration and influence: works effectively across engineering, analytics, and business stakeholders; drives clear technical decisions. Senior execution: balances speed ...

risk to maximise testing impact across distributed engineering organisations. Data testing and SQL: Working knowledge of data testing methods (data quality checks, schema validation, transformation testing, ETL/migration testing), plus SQL proficiency for querying and profiling large datasets to diagnose quality issues. Quality metrics and reporting: Experience building quality ...

automated code reviews, synthesis, workflow orchestration, agent-driven monitoring/troubleshooting). Prototype and evaluate agentic workflows for automated anomaly detection, market data quality validation, and intelligent developer tooling. Technical Leadership & Excellence Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency ...

model and analyse data Learn how our APIs, decisioning flows and data pipelines work, and work directly with engineers on specs, testing and release validation Support Product Managers with discovery, delivery and partner onboarding Launch readiness & operations Define success criteria for each launch and the metrics that show whether ...

support models to meet service levels, internal standards, control obligations, and peak‐volume expectations. Establish monitoring, reporting, escalation, vendor oversight, health checks, observability, data validation, latency, capacity, release governance, readiness artifacts, and resiliency controls. Maintain engineering standards, capacity and resiliency planning, recovery playbooks, back‐out plans, readiness drills, support handoffs ...

insights. Apply appropriate machine learning, predictive analytics and data science techniques to real-world problems. Develop and evaluate insightful models using robust performance and validation methodologies. Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Contribute to development of innovative AI, machine learning and advanced analytics capabilities. ...

permission inheritance, and secure collaboration patterns. Demonstrated experience planning and delivering SharePoint or Microsoft 365 migrations. Hands‐on experience with Power Apps, including forms, validation, user experience design, security, and connectors. Hands‐on experience with Power Automate, including multi‐step flows, approvals, expressions, exception handling, retry logic, notifications, and integrations. ...

flow requirements between D365 CE and adjacent systems for the integration and data architecture teams to design and build. Support data migration planning and validation alongside the Delivery Manager, working with data architects to define migration rules, cleansing strategies, and cutover acceptance criteria for all CRM workstreams. Be the primary ...

successful call, by a person or an agent, as a metric you own. Partner with Product to add technology value Act as the technical validation point for product ideas, pressure‐testing feasibility, cost, risk and sequencing early, before commitments are made. Bring technology‐led opportunities to the table: things ...

product and process data. Support releases and integrations end-to-end: maintain pipelines, automate deployments, manage repositories and environments and ensure changes follow validation and change-control requirements. Work with R&D and central ontology/knowledge-graph teams to implement and operate data and metadata structures (for example applying ...