126 to 150 of 2,357 Validation Jobs in London

Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles, standards ...

/or CloudFormation. Standardise provisioning through reusable modules and reduce configuration drift and operational toil. Integrate smoke tests, health checks and post‐deployment validation into CI/CD pipelines. Improve monitoring, alerting, dashboards, logging and operational readiness using actionable, SRE‐aligned practices. Identify and remediate security, compliance, configuration and platform ...

eventual retirement. Work with product managers and developers to elaborate requirements and build cutting edge FX products suitable for Payments. Oversee product testing, validation, and quality assurance processes. Monitor product performance, gather client feedback, and iterate on product features and enhancements. Ensure products comply with all relevant internal policies ...

Support Assist DevOps Engineers with building, improving and supporting deployment pipelines and routine automation across production and non-production environments. Support application deployment, release validation, monitoring and optimisation using Azure DevOps, GitHub, Azure Portal, Azure App Service and Dynatrace. Help investigate incidents, requests and recurring application issues, contributing code fixes ...

Alternatives, and related asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion ...

Alternatives, and related asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion ...

Funds, Alternatives, and related asset servicing capabilities.Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff.Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements.Drive ...

dashboards and management information using reporting tools such as Power BI.Improve reporting efficiency while maintaining strong governance and data integrity.Data GovernanceOversee the collection, validation and governance of Operational and Technology Risk data.Work closely with Technology, Operational Risk and business stakeholders to improve data quality and reporting consistency.Establish controls to ensure ...

dashboards and management information using reporting tools such as Power BI.Improve reporting efficiency while maintaining strong governance and data integrity. Data GovernanceOversee the collection, validation and governance of Operational and Technology Risk data. Work closely with Technology, Operational Risk and business stakeholders to improve data quality and reporting consistency. Establish ...

time in our source systems to ensure data quality. Heal - finding & fixing data errors in our systems after they occur with SQL data quality validation rules and Power BI dashboards to track quality levels and drive remediation efforts. Prevent working with Operations and IT teams, to implement data quality ...

networks, reinforcement learning, and transfer learning.Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.Proficiency in data visualization tools and techniques.Experience ...

reinforcement learning, and transfer learning. Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing. Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines. Proficiency in data visualization tools ...

complex issues, coordinating with stakeholders, and ensuring system availability, performance, and service excellenceOversee integrations, data management, and system lifecycle activities, including data migration, validation, reconciliation, platform upgrades, releases, enhancements, and continuous optimisationCollaborate with business stakeholders, vendors, and third-party partners to define requirements, implement solutions, manage platform roadmaps, support projects ...

automation and optimization Act as a liaison between technical teams and business users, translating complex technical concepts into user-friendly language Conduct system testing, validation, and user acceptance testing for new implementations and updates Provide ongoing support and training to end-users across the organization Monitor system performance and usage ...

decisions and effectively direct specialist engineering and architecture teams. Work with structured and unstructured data to support data profiling, analysis, reconciliation, requirements definition and validation, using SQL and related data-analysis techniques where appropriate. Bring perspectives from both consulting and industry environments to develop pragmatic Data & AI strategies that balance ...

initiatives. Use AI test generators to produce HIPAA/GxP-compliant synthetic clinical trial datasets for automated validation. Leverage AI tools to auto-draft validation artifacts, data lineage manifests, and audit documentation required under GxP, HIPAA, and GDPR standards. System Resilience: Troubleshoot complex production issues across distributed data environments ...

legacy systems: validate data quality, define transformation rules, oversee cutover planning Use modern AI tools to accelerate delivery: automate documentation, generate project artifacts, build validation scripts, enhance productivity Cross‐Functional Collaboration & Influence Partner with Sales during presales phase to shape deal strategy, validate scoping accuracy, and ensure smooth handoff from ...

problems and answering queries. Mentor other development staff members and provide technical assistance as needed. Participate in architecture and code reviews. Support testing and validation activities within data related projects and initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with ...

shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend ...

decisions and effectively direct specialist engineering and architecture teams. Work with structured and unstructured data to support data profiling, analysis, reconciliation, requirements definition and validation, using SQL and related data-analysis techniques where appropriate. Bring perspectives from both consulting and industry environments to develop pragmatic Data & AI strategies that balance ...

legacy systems: validate data quality, define transformation rules, oversee cutover planning Use modern AI tools to accelerate delivery: automate documentation, generate project artifacts, build validation scripts, enhance productivity Cross‐Functional Collaboration & Influence Partner with Sales during presales phase to shape deal strategy, validate scoping accuracy, and ensure smooth handoff from ...

scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters.CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production.Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana ...

Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana ...

United States Digital Space LLC is seeking a skilled engineer to validate their ML software stack crucial for future AI systems. You will build testing infrastructure and automation to enhance the reliability and performance of ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional … services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios ...