451 to 475 of 2,371 Validation Jobs in London

working. Partner with platform and technology teams to develop longer-term automation and process improvements. Champion data quality by embedding robust quality assurance and validation processes, reducing manual errors and ensuring consistent outputs. Monitor delivery performance, proactively identifying bottlenecks and implementing solutions to keep projects on track. Coordinate resources across ...

maintain recurring and ad hoc HR reports, data extracts and dashboards for HR, Payroll, Finance, leadership and regulatory reporting. Support data gathering and validation for key workforce reporting, including diversity-related analysis, while maintaining appropriate confidentiality and data governance. Work with Payroll and HR Shared Services to understand the downstream ...

builds, and documentation.Drive adoption of delivery frameworks, accelerators, and reusable assets.Contribute to continuous improvement of integration delivery practices.Business Development SupportSupport sales activities including estimation validation, solution input, and SOW reviews.Participate in proposals, orals, and solution discussions where required.Identify opportunities for additional client value and service expansion.Requirements:Bachelor’s degree ...

JSON/YAML; Git (or comparable Source-Control Platforms; Infrastructure-as-Code (Terraform or equivalent); CI/CD Tooling; Automated Configuration Management; Configuration Testing & Validation; Security Orchestration & Workflow Automation. You Do Not Need to be Full-Time Software Developer , but you should approach Security Technology as an Engineering Problem rather ...

assisted development practices. Job Responsibilities Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing Promote reuse of effective patterns across the team to improve consistency ...

with the ability to build and maintain complex models across all three financial statements. Experience working with large and often imperfect datasets, including reconciliation, validation and data cleansing. A pragmatic, proactive approach with the ability to deliver high-quality outputs in a changing environment. Excellent communication and stakeholder management skills ...

assisted development practices. Job Responsibilities Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing Promote reuse of effective patterns across the team to improve consistency ...

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 ...

maintaining modular, testable and high-quality data models and transformation pipelines using DBT or equivalent structured SQL frameworks Improving pipeline robustness through automation, monitoring, validation, dependency management and engineering best practices to reduce manual intervention and production failures Diagnosing and resolving pipeline failures, supporting reruns and validations, and addressing data ...

high-quality outcomes. Lead cross‐functional execution across Engineering, Commercial, Marketing, Operations and client‐facing teams to support successful releases. Own release readiness, including validation, issue management and stakeholder communication. Analyse product performance and customer feedback following release, using the resulting insight to guide future improvements. Manage multiple initiatives concurrently ...

/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing ...

efficiency and consistency of information communicated across the global Commercial organizationOwn data quality in practice: completeness, mapping and transformation checks, duplication and history validation, and the defect backlog that comes with new sourcesBuild and maintain curated silver and gold data products for commercial domains, including outages, ship tracking, plant capacity ...

internal and third-party sources Build REST APIs to serve as the bedrock of an internal platform Investigate inconsistencies in existing internal data, write validation rules and document definitions, and help establish trusted datasets for asset management Turn manual collection, checking, reconciliation, reminders, document generation and reporting tasks into dependable ...

workflows Cloud deployment experience (Azure preferred), using services such as Azure OpenAI, AI Foundry or AI Search, with Docker and Kubernetes Understanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or Airflow Strong communication ability to explain trade-offs around cost, latency and accuracy ...

limited to): Day-to-day system administration and user support across finance applications Maintenance of core data structures (e.g. phase and task setup, validation, and updates) Performing daily checks, reconciliations, and issue resolution Supporting system integrations and data flows between platforms Assisting with configuration and testing for new systems ...

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 ...

with a common goal. This role is based at the Linklaters London office with a hybrid working model available. The role Supports the collection, validation and reporting of Technology, Data and AI financial and consumption data. Prepares the FinOps reporting, dashboards and performance metrics, helping to improve cost transparency ...

basis modelling, and consistent interpolation and calibration methodologiesImplement these models in our quant library and trading/risk platforms, carrying out rigorous numerical testing, validation and documentationDeliver these models to productionWork closely with traders and the wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify ...

reliability. Contribute to streaming data pipelines (Kafka/Flink or equivalent) to support near real-time data use cases. Apply data quality checks and validation to ensure accuracy and consistency of data assets. Support the implementation of data contracts and schemas for reliable integration between systems. Monitor and troubleshoot pipelines ...

scoping and solution design to execution and ongoing delivery. Ensure high analytical and technical standards across the team, including SQL, PySpark, Python, and data validation best practices. Act as an escalation point for complex analytical challenges, providing hands‐on guidance where needed. Partner closely with Engineering to define scalable infrastructure ...

inventory adjustments, inline sample returns, and sub‐inventory management Produce and maintain VAS error rate reporting and monitor operational KPIs Support data validation, reconciliation, and operational governance activities to ensure reporting accuracy Support and manage inline sample return processes across Distribution Centres Monitor process compliance and coordinate continuous improvement initiatives ...

researchers to design, implement, and productize machine learning models that drive quantitative trading strategiesDevelop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoringTranslate research prototypes and novel ideas into performant, well-tested, production-ready codeBuild extensible tools and frameworks that accelerate the model development ...

modelling, and consistent interpolation and calibration methodologies Implement these models in our quant library and trading/risk platforms, carrying out rigorous numerical testing, validation and documentation Deliver these models to production Work closely with traders and the wider quant team to solve problems, analyse curve, risk and volatility behaviour ...

modelling, and consistent interpolation and calibration methodologies Implement these models in our quant library and trading/risk platforms, carrying out rigorous numerical testing, validation and documentation Deliver these models to production Work closely with traders and the wider quant team to solve problems, analyse curve, risk and volatility behaviour ...

inventory adjustments, inline sample returns, and sub-inventory management Produce and maintain VAS error rate reporting and monitor operational KPIs Support data validation, reconciliation, and operational governance activities to ensure reporting accuracy Support and manage inline sample return processes across Distribution Centres Monitor process compliance and coordinate continuous improvement initiatives ...