1,251 to 1,275 of 1,588 Validation Jobs in London

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident and 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 … operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident and root-cause analysis support), while establishing and enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Proven expertise in designing, deploying, and managing containerized distributed applications ...

across semantic search, document intelligence, AI assistants, knowledge retrieval, workflow automation, and decision support systems. Build architecture approaches for retrieval orchestration, embeddings, reranking, grounding validation, observability, and evaluation frameworks. Work with engineering teams to support implementation across Python, APIs, Kubernetes, CI/CD, Terraform, cloud services, and AI infrastructure. Design … experience designing and delivering GenAI, LLM, RAG, agentic AI, or enterprise AI platforms. Strong understanding of RAG architecture, vector search, embeddings, chunking, reranking, retrieval validation, and semantic search. Experience with MLOps, AI observability, model evaluation, inference platforms, and production AI deployment. Knowledge of cloud-native AI infrastructure across Azure ...

towards software-intensive systems. You will own systems engineering activities across the full V-cycle – spanning requirements definition, system architecture, detailed design, integration, verification, validation, and release. Serving as a key technical integrator across disciplines, you will collaborate daily with software architects, AI engineers, and hardware developers to ensure system … interface directly with customer stakeholders. The day-to-day Drive systems engineering execution across the entire V-cycle (requirements capture, architecture, design, integration, verification, validation, and release), with an emphasis on software systems. Plan and execute system-level testing; analyse complex test data and lead root-cause analysis on failures ...

forums, communities of practice, guilds, and conferences Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … level objectives, alerting, and telemetry collection Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity. Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths ...

innovation, accountability, and engagement within a global organization. Your leadership will help drive adoption of enterprise-authorized AI-assisted engineering practices and promote consistent validation standards across the team. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches. Develop secure, high-quality production code …/ML solutions. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Establish consistent validation standards, including secure coding, peer review, automated testing, and promote reuse of effective patterns. Apply knowledge of tools within the Software Development Life Cycle toolchain ...

Test Engineer for the CoVision project, you will be co-responsible for the safety and effectiveness of our medical devices through comprehensive Verification and Validation (V&V) processes. You will work throughout the entire Software Development Life Cycle (SDLC), focusing on software and integration testing for both products and internal … evidence automatically. Testing Strategy: Own comprehensive test plans, protocols and execution reports for medical device software. V&V Leadership: Drive formal software verification and validation, ensuring adherence to IEC 62304 (Class C) and ISO 14971. Process Automation: Push test automation, CI/CD pipelines and new testing techniques forward, including ...

Products. Job Responsibilities Own end-to-end delivery for assigned Capital Data Products end-to-end (or key slices), managing backlog across sourcing, ingestion, validation, persistence, transformation, and distribution. Translate Capital business outcomes into epics/user stories with clear acceptance criteria tied to consumer usability, controls, and data quality. … delivery execution: support new feature discovery by gathering and prioritising requirements, support end-to-end use AI-assisted SDLC practices with strong human validation and a controls mindset. Define distribution patterns and contracts (e.g., curated datasets, APIs, batch extracts): selection logic, formats, schedules, reconciliation, reruns/backfills, and SLAs. Required ...

decisions, including data model and object relationships, security and sharing model, and automation strategy Building declarative solutions using Flow (record-triggered, screen and scheduled), validation rules, formula fields, custom objects and fields, Lightning pages and Dynamic Forms, record types, approval processes and custom metadata Migrating legacy automation (Workflow Rules … Using CumulusCI to support sandbox and scratch org setup, dependency management and repeatable deployments Supporting our release process across sandboxes and production, including deployment validation, testing and post-release checks Using AI tools such as Claude to accelerate work such as metadata analysis, drafting Flows and formulas, writing test scenarios ...

sets, sharing and regular reviews using least-privilege principles.* Maintaining strong data quality and governance across the data model, imports and exports, cleansing, deduplication, validation and integrity controls.* Leading changes through sandboxes, testing, UAT and deployment, ensuring releases are controlled, documented and delivered with appropriate risk management.* Oversee integrations, connected … reviewing solutions without formal line-management responsibility.* Deep knowledge of Salesforce administration and configuration, including the data model, security and access, objects, record types, validation, automation, reports and dashboards.* Strong Salesforce Flow and declarative automation expertise, with the ability to design scalable solutions, set good practice and troubleshoot complex existing ...

projects and programmes.* Support connectivity with London Market and Lloyd’s platforms, bureaus, brokers, cover holders, and service providers.* Ensure effective message routing, transformation, validation, reconciliation, and exception handling.* Embed security, resilience, operational support, and audit requirements into integration designs.* Collaborate with business, delivery, data, security, and vendor teams … bureau platforms.* Strong knowledge of integration patterns, including message-based, API-led, event-driven, batch, and file-based integration.* Understanding of data mapping, transformation, validation, and reconciliation.* Knowledge of security, resilience, and governance requirements for external system integrations.* Strong stakeholder management, communication, and problem-solving skills.* Familiarity with ACORD ...

forums, communities of practice, guilds, and conferences Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … level objectives, alerting, and telemetry collection Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity. Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths ...

Cloud Platform (GCP). This role bridges velocity and resilience—empowering engineering teams to deploy rapidly while establishing automated deployment-time controls, immutable infrastructure validation, and proactive vulnerability management.What You’ll GetA supportive environment fostering career progression, continuous learning, and an inclusive culture.Broad exposure to CME's diverse products, asset … pipelines, embedding static analysis, software composition analysis (SCA), and vulnerability scanners into developer workflows.Implement and maintain Infrastructure as Code (IaC) security controls and deployment validation tools using Terraform, GCP Anthos Configuration Management (ACM), and AWS CodeDeploy.Develop, package, and deploy robust IaC templates and security policies utilizing HashiCorp Configuration Language ...

forums, communities of practice, guilds, and conferences Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering … level objectives, alerting, and telemetry collection Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity. Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths ...

scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security/ ...

other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Be part of the first line of support for the wider Athena Core … Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

HEOR, primarily using R and C++. Support the development of cost-effectiveness and budget-impact models for health technologies. Contribute to model conceptualisation, implementation, validation and troubleshooting. Conduct analyses of healthcare, clinical trial and other relevant data. Critically review model structures, inputs, assumptions and outputs. Support the adaptation of economic … systems and HTA processes. Experience of healthcare data analysis or clinical trial interpretation. Experience of consulting or other client-facing work. Familiarity with model validation, quality assurance and technical documentation. Experience of teaching, training or communicating technical concepts. Knowledge of additional programming languages, including C++, would be an advantage. What ...

Global determine where to focus its investment, accelerate AI adoption and unlock new opportunities through technology innovation. KEY ACCOUNTABILITIES Lead the exploration, evaluation and validation of emerging AI, agentic and workplace technologies, identifying opportunities that create measurable business and employee value. Design, build and test prototypes, proofs of concept … technology choices, bringing fresh thinking and innovative approaches to long-standing problems. Build business cases and recommendations for new technologies based on technical validation, adoption potential, measurable outcomes and strategic alignment. Support the adoption and effective use of AI and agentic technologies through coaching, knowledge sharing, mentoring and technical enablement ...

delivery and code-review practices. Awareness of data quality, privacy, access controls and secure data handling. An interest in responsible AI-assisted development, including validation of AI-generated outputs. Clear written and verbal communication skills, including the ability to document technical work effectively. A willingness to seek support, learn through … data lineage. Production monitoring, troubleshooting, runbooks and incident escalation. Secure and privacy-aware handling of data. Responsible AI-assisted software and data engineering, including validation of generated outputs. VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers ...

pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact … storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing ...

prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate … financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability to work directly with data, code, ML frameworks ...

material changes are tested, monitored, and understood across the business. Be accountable for how consent requirements move from regulatory interpretation through product definition, implementation, validation, release, monitoring, and continuous improvement, with clear decision rights and ownership across teams. Establish consistent approaches to consent collection, storage, propagation, and enforcement across brands … practices so material consent changes are validated before and after launch. Own Product acceptance and release readiness, including appropriate staging, UAT, stakeholder approvals, production validation, and clear escalation paths when issues arise. Monitor the health and effectiveness of the consent ecosystem and use incidents, audit findings, and recurring support patterns ...

connections and deploy analytical, AI-enabled or customer-facing applications. Ensure the responsible, transparent and secure use of AI and GenAI, including appropriate model validation, documentation, reproducibility, data governance and risk management. Establish and track KPIs, model performance measures and success metrics for predictive modelling and AI initiatives to demonstrate … experience withGenerative AI, including Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and the evaluation of GenAI outputs. Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance, including the reliability, limitations and risks associated with AI and GenAI solutions. Ability to assess ...

preference management across Condé Nast's digital products and platforms.Be accountable for how consent requirements move from regulatory interpretation through product definition, implementation, validation, release, monitoring, and continuous improvement, with clear decision rights and ownership across teams.Establish consistent approaches to consent collection, storage, propagation, and enforcement across brands, markets … management practices so material consent changes are validated before and after launch.Own Product acceptance and release readiness, including appropriate staging, UAT, stakeholder approvals, production validation, and clear escalation paths when issues arise.Monitor the health and effectiveness of the consent ecosystem and use incidents, audit findings, and recurring support patterns ...

pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact … storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing ...

RLHF, benchmarks and evaluations, red teaming, multimodal data, coding tasks, agent environments, and emerging approaches. Shape task design, annotation and evaluation workflows, quality and validation strategies, data structures, and the trade-offs between research value, feasibility, speed, scale, and expert experience. Define the expert profiles a project requires, including … Partner with Engineering to define the expert-facing interfaces and technical architecture that collections require, including workflows, APIs, data exchange patterns, synthetic testing, and validation mechanisms. Prototype or test critical elements of a solution during discovery, while working with Engineering as the team responsible for production implementation. Build alignment across ...