1,701 to 1,725 of 2,045 Validation Jobs in London

team, you will be responsible for designing and executing automated testing across the AI solution landscape, covering both traditional software testing and AI-specific validation activities. The Role As an AI Automation Tester, you will play a key role in validating AI-driven applications and services, ensuring they meet functional … Validate AI-generated responses, outputs, and behaviours against defined requirements. Develop and maintain automated testing frameworks and test suites. Support API testing and integration validation across complex systems. Manage test data and ensure effective test coverage across the solution lifecycle. Collaborate with development teams to identify, troubleshoot, and resolve defects. ...

transformation programmes. What You'll Be Doing Designing end-to-end data architecture solutions across complex enterprise environments. Defining architecture for data ingestion, storage, validation, transformation, integration and reporting. Producing logical and physical data models. Working across multiple applications, platforms and technologies to create integrated data solutions. Establishing data architecture … Senior Data Architect. Experience working across multiple systems, applications and organisational domains. Strong knowledge of end-to-end data architecture, including ingestion, storage, validation, transformation and integration. Excellent data modelling skills (logical and physical). Experience with modern data platforms, data warehouses and cloud-based data solutions. Strong understanding ...

operational stakeholders. Responsibilities TVM and OT Lifecycle Management Own regional execution of the Controls Engineering TVM program, from technical assessment and prioritization through remediation, validation, evidence capture, and closure Assess vulnerabilities, obsolete components, unsupported operating systems, database dependencies, network exposures, and platform lifecycle risks affecting BMS, SCADA, PLC, historian, gateway … technical decisions, and status reporting; elevate blockers with clear options and recommended actions Support platform modernization, patching, upgrade, migration, and replacement planning, including rollback, validation, and operational readiness requirements Operations Controls Engineering Provide advanced technical support for industrial controls and supervisory platforms Troubleshoot end-to-end controls issues across field ...

support. Support Utility Network migration, testing, Go-Live preparation, and post-Go-Live technical support. Provide expertise in Utility Network topology, dirty area management, validation rules, and data quality assurance. Support Branch Versioning, reconcile and post workflows, and editing workflows. GIS Integration & Application Technical Ownership Provide technical ownership and support … tools, including FME. Experience with enterprise multi-user geodatabases, including traditional versioning and branch versioning. Strong understanding of ArcGIS Utility Network architecture, topology, validation, and operational processes. Experience with Utility Network migration, testing, Go-Live readiness, and post-Go-Live technical support. Experience with ArcGIS Enterprise deployments in production ...

will include: Defining the shared data model, terminology and standards used across systems. Determining which system is authoritative for each entity and attribute. Defining validation, standardisation, matching, deduplication and conflict-resolution rules. Establishing how trusted values survive when different systems contain conflicting information. Monitoring data-quality failures and identifying their … rules governing how data flows between systems. Configure, test, publish and monitor Syncari pipelines. Manage entity, object and attribute mappings. Implement source-authority, transformation, validation and conflict-handling rules. Design appropriate one-way and bidirectional data flows. Monitor synchronisation activity, exceptions and platform health. Investigate failed transactions, mismatched records, authentication ...

architecture across large codebases, CI pipelines and representative ML workloads. You will use strong software engineering judgement to turn complex technical goals into scalable validation systems. This is a role for someone who enjoys depth, ownership and useful engineering. You will make quality easier, faster and more visible for teams … team sits where the company's software components come together. Engineers work across unit tests, integration tests, full model runs, subgraph validation and benchmarking. Work is organised through focused squads with clear ownership. People are expected to step up, speak openly and improve how the team builds, tests and learns. ...

questions are real and the appetite for answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial … opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management and ongoing performance. Turn sophisticated analysis into clear recommendations for senior decision ...

scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation). Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down … 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 ...

adoption of enterprise-authorized AI-assisted engineering practices within the team to improve code quality, delivery speed, testing, troubleshooting, and operational outcomes, while ensuring validation, secure coding, peer review, and compliance with firmwide standards. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and advanced applied … office processes, or broader financial services technology. Familiarity with enterprise-authorized AI-assisted software development tools and responsible AI use in engineering workflows, including validation of AI outputs for correctness, performance, and security. Experience working in globally distributed technology teams and partnering across regions, functions, and stakeholder groups. Interest ...

system architectures, perform performance analysis, trade studies and support system integration. Oversee subsystem development and ensure effective requirements flow-down and implementation. Lead verification, validation and compliance activities throughout the system lifecycle. Provide technical leadership, acting as the primary customer interface for system development and performance decisions. But what else … discipline) or possess equivalent experience in a relevant technical field. Proven experience across the full systems engineering lifecycle, including system design, integration, verification and validation, ideally within electrical power generation, distribution or electrical propulsion systems. Experience working on aircraft systems or other complex safety-critical products, with a strong understanding ...

vision and bring people with them AI Assurance, Responsible AI or AI governance Agentic AI or autonomous software engineering approaches AI/ML model validation and testing AI governance frameworks such as ISO/IEC 42001 or regulatory frameworks including the EU AI Act Building technical accelerators, frameworks, platforms … Agile, DevOps, CI/CD Experience Client‐Facing Communication ATS Optimization Keywords Hard Skills Quality Engineering Test Automation Performance Testing AI/ML Model Validation AI Governance Frameworks Agile Methodologies DevOps Practices CI/CD Delivery Models Technical Standards Definition Consultancy Experience Soft Skills Coaching Mentoring Stakeholder Management Influencing Without ...

agents, integrations, automations, and data pipelines connecting Notion with customers’ systems. Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation, validation, cutover, and post-migration optimization. Review technical designs, identify delivery risks, and provide senior technical leadership when engagements require escalation. Partner with Sales and Services … powered workflows (MCP, Agent APIs, LLM applications, prompt engineering, retrieval/RAG, workflow orchestration). Experience with ETL/ELT workflows, schema mapping, validation scripts, and large-scale migration tooling. Experience partnering with product and engineering teams to influence roadmaps or architecture based on customer implementation needs. Experience supporting ...

that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic … that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.Validation Rules & Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define ...

technical and operational stakeholders. ResponsibilitiesTVM and OT Lifecycle ManagementOwn regional execution of the Controls Engineering TVM program, from technical assessment and prioritization through remediation, validation, evidence capture, and closureAssess vulnerabilities, obsolete components, unsupported operating systems, database dependencies, network exposures, and platform lifecycle risks affecting BMS, SCADA, PLC, historian, gateway … dependencies, technical decisions, and status reporting; escalate blockers with clear options and recommended actionsSupport platform modernization, patching, upgrade, migration, and replacement planning, including rollback, validation, and operational readiness requirementsOperations Controls EngineeringProvide advanced technical support for industrial controls and supervisory platformsTroubleshoot end-to-end controls issues across field devices, controllers ...

alignment and driving decisions across technical and non-technical audiences. Strengthening zero‐to‐one innovation practices, creating repeatable ways of working that accelerate prototyping, validation, learning, and transition to enterprise-scale ownership. What You'll Bring 10–12+ years of relevant experience, including significant product leadership across AI, data … enterprise technology products. Demonstrated success taking emerging ideas from early discovery and experimentation through validation and product investment decisions. Strong understanding of AI and GenAI capabilities, data platforms, and the technical foundations required to build scalable products. Ability to frame highly ambiguous problems, make evidence‐based trade-offs, and translate ...

millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory inquiries. Develop reconciliation and validation frameworks to ensure reporting accuracy and data integrity. Support remediation initiatives through the design of historical replay and data reconstruction capabilities. Drive system enhancements focused … frameworks. Advanced SQL and database development Experience, ideally with Oracle Database . Strong data analysis and manipulation skills using Pandas . Experience developing reconciliation, validation or control frameworks. Knowledge of software engineering best practices, CI/CD and release management. Excellent stakeholder engagement skills, with Experience working directly with business ...

getting it into production. You'll be working on complex, form-heavy applications used by real customers, including multi-step onboarding journeys, branching validation, cross-field dependencies and workflows where clients may leave and return later. You'll need to be comfortable reasoning about where state should live … building modern React and TypeScript single-page applications that are running in production with real users Experience building complex, form-heavy applications with branching validation and cross-field dependencies Strong understanding of multi-step application flows and frontend state management Deep experience with TanStack Query, including query-key design, cache ...

shaping how advanced ML and AI can create real value in Borrowing You’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long‐term architecture of credit decisioning at Monzo. What … credit industry Leadership and delivery Experience leading and developing senior ML scientists Strong cross‐functional leadership with Product, Credit Strategy, Engineering, and Validation Track record of turning strategy into practical delivery in a regulated environment It would be great if you also have Experience across more than one market Experience ...

makes sure it doesn't break the same way twice. This is a hands-on role that blends software maintenance, infrastructure ownership, and release validation, with direct exposure to the development teams whose code you're keeping stable. This position is in Abu Dhabi, UAE, with initial position hiring occurring … others to act when an issue exceeds your ability to resolve it. Document what you learn - runbooks, known issues, environment configuration, and release validation results, so the Simulation Center's operational knowledge isn't held in one person's head. REQUIRED QUALIFICATIONSProficiency in Python for automation, tooling, and test development. ...

adoption of enterprise-authorized AI-assisted engineering practices within the team to improve code quality, delivery speed, testing, troubleshooting, and operational outcomes, while ensuring validation, secure coding, peer review, and compliance with firmwide standards. Required Qualifications, Capabilities, and SkillsFormal training or certification on software engineering concepts and advanced applied experience … office processes, or broader financial services technology. Familiarity with enterprise-authorized AI-assisted software development tools and responsible AI use in engineering workflows, including validation of AI outputs for correctness, performance, and security. Experience working in globally distributed technology teams and partnering across regions, functions, and stakeholder groups. Interest ...

security requirements. 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. Required qualifications, capabilities, and skills 10+ years of experience in technology support, production … 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 ...

structure (objects, properties, associations, lifecycle stages, automation), not just using it as an end user, with strong data quality and governance practices (deduplication, enrichment, validation, access controls, auditability).Able to turn a non-technical brief into a full plan and build it, and explain technical solutions to non-technical stakeholders … similar warehouses via API-based integrations, including reverse ETL back into business systems.Strong Python (or similar) and SQL for automation, data movement, transformation and validation across warehouse tables and views.Confident with REST APIs (auth, pagination, rate limits, retries, error handling) and GCP tooling (Cloud Run, Cloud Scheduler, Secret Manager, BigQuery ...

Produce high-quality project artefacts including functional specifications, configuration workbooks, data migration plans, and training content. Support data migration activities including extraction, transformation, and validation of historical time and attendance records. Provide hyper-care support post-go-live and ensure effective knowledge transfer to client system administrators. Contribute to internal … delivery experience, with the ability to manage workstreams, track milestones, and proactively manage risks. Strong data skills, including experience with data mapping, transformation, and validation during system implementations. Excellent communication and facilitation skills, with confidence presenting to senior client stakeholders and operational teams. Experience supporting testing phases including ...

technical leadership in complex, high-scale systems. NestJS and TypeScript Depth : Deep practical knowledge of NestJS, Node.js and TypeScript, including modular architecture, dependency injection, validation, testing and production operations. Infrastructure and Databases : Strong production experience with AWS, Docker and MySQL or another comparable relational database, including operational, performance and reliability … considerations. API Design : Strong experience creating well-typed APIs and integration contracts, with sound judgement around versioning, compatibility, validation, error handling and security. Data and Scale : Demonstrable experience with high-volume data processing, distributed or event-driven workflows, MySQL or comparable relational databases and the trade-offs required to keep ...

engagements - to define clear product outcomes, customer value measures, and success metrics that shift the focus from output to impact. Strengthen product discovery and validation Coach teams in customer-centric product practices including hypothesis development, experimentation, user research and feedback, opportunity assessment, and evidence-based decision making. Improve product operating … solutions align with enterprise governance, security, compliance, and risk-management standards while maintaining transparency and accountability. Establish AI quality and evaluation practices Define lightweight validation approaches to ensure AI-generated outputs are accurate, traceable, and fit for business decision-making. Upskill product organizations Coach product teams, leaders, and stakeholders - including ...