401 to 425 of 5,063 Validation Jobs in the UK

qualification (APM, Prince2, PMI). Quality or Safety Management certification. Essential skills Strong understanding of engineering lifecycle processes including systems engineering, design, development, verification, validation, deployment, and support. Excellent stakeholder management and communication skills. Strong analytical and problem‐solving capability. Desired skills Knowledge of: ISO 10007 – Quality Management – Configuration Management ...

transformation.Partner with Finance, Operations, IT, and external implementation teams to optimize budgeting, forecasting, planning, and reporting processes.Support ERP migration activities, including data mapping, validation, user acceptance testing (UAT), end-user training, and post-implementation support.Manage the annual Global Cross-Charge process, including quarterly recalculations and reporting in accordance with transfer ...

outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g., Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Location & Hours of Work We operate a hybrid working policy of 40%–60% of the month spent with colleagues. We look forward ...

integrations with operational and enterprise systems, ensuring reliable data flows and system interoperability across complex environments. Run technical discovery and proof-of-concept validation for new capabilities, scoping feasibility and defining delivery roadmaps with cross-functional stakeholders. Coach and develop internal technical capability, setting engineering standards and building a culture ...

production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark ...

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 ...

strong, collaborative and highly productive team.* Excellent working knowledge of AI-enabled software engineering, including AI tooling, context management, prompting, agentic workflows, appropriate human validation, and common limitations* Excellent working knowledge of one of C#, Dart, or TypeScript, paired with one of .Net, Flutter, React, or Node.js* Strong grounding ...

capabilities into the site, including retrieval, product discovery, conversational experiences, and supporting data pipelines or service layers Quality, Testing & Debugging: Build automated testing and validation into development workflows. Use AI-assisted debugging where appropriate while maintaining strong standards for code review, observability, performance, regression prevention, and production reliability Modular Architecture ...

wider Surveillance Technology team to prioritise automation, scalability and strategy at the heart of the design. Implement automated data completeness and quality checks, validation rules, and reconciliation processes to ensure accuracy, completeness, and timeliness of the data ingested and to make visible any data that is not processed. Identify Critical ...

strategic technical builds. What you’ll do Own requirements end-to-end across the PDLC — leading discovery, elaboration, backlog grooming, UAT, and post-launch validation for complex, high-impact initiatives, ensuring traceability from business objective to delivered feature. Drive AI/ML use case definition — partnering with data scientists ...

wider Surveillance Technology team to prioritise automation, scalability and strategy at the heart of the design. Implement automated data completeness and quality checks, validation rules, and reconciliation processes to ensure accuracy, completeness, and timeliness of the data ingested and to make visible any data that is not processed. Identify Critical ...

interest in building reusable data assets rather than one-off analysis. Proficiency with AI agents and analytical assistants, with a disciplined approach to validation, data confidentiality and explaining how conclusions were reached. Desirable Skills and Experience Exposure to Microsoft Fabric or Databricks through coursework, projects, internships or early-career work ...

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 ...

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

cloud data platforms such as Snowflake. Strong analytical and problem-solving skills, with a great eye for detail. An understanding of data quality, validation and governance. Strong Excel capability. Experience delivering analytics within Customer, Marketing, CRM, Loyalty or another commercially focused environment. Examples of using data and insight to influence ...

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 ...

opportunities. You will need a keen eye for detail and a high level of resilience to work through complex datasets providing robust testing and validation techniques to ensure that the data in the new EPR system meets the highest of data quality standards. You will liaise with many stakeholders across ...

test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications. Support techniques that improve reliability and user trust, such as output validation, citation or source‐grounding patterns, fallback handling, confidence thresholds, and escalation workflows. Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production ...

data engineering environment Experience building, maintaining, or optimizing data pipelines and data processes Experience working with AWS data engineering technologies Understanding of data quality, validation, and governance practices Strong analytical and problem‐solving skills Excellent attention to detail Ability to communicate complex technical concepts clearly and confidently Experience working with ...

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 ...

Roku's Automation support and Tools team focuses on providing innovative, impactful tools and SW solutions including AI enabled engineering capabilities to help accelerate validation efforts, improve efficiency, enhance productivity of all engineering team across Roku's entire embedded SW org. The team works across full-stack applications, backend services ...

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 ...

account/regionCollaborate with Portworx Support and Product Engineering teams to provide an excellent customer experience and drive timely issue resolutionSupport customers through validation and testing of changes prior to production implementation, remediating issues identified during testingProvide knowledge transfer and training sessions to customer teams to support ongoing Portworx operationsMaintain ...

experience in a data engineering environmentExperience building, maintaining, or optimizing data pipelines and data processesExperience working with AWS data engineering technologiesUnderstanding of data quality, validation, and governance practicesStrong analytical and problem-solving skillsExcellent attention to detailAbility to communicate complex technical concepts clearly and confidentlyExperience working with both technical ...

account/regionCollaborate with Portworx Support and Product Engineering teams to provide an excellent customer experience and drive timely issue resolutionSupport customers through validation and testing of changes prior to production implementation, remediating issues identified during testingProvide knowledge transfer and training sessions to customer teams to support ongoing Portworx operationsMaintain ...