1,551 to 1,575 of 2,043 Validation Jobs in London

clear implementation plans and verifiable engineering tasks. Decompose solution designs into small, sequenced, testable delivery increments. Guide engineers and AI coding agents through implementation, validation, and release activities. Deliver and oversee complex, high‐risk, or business‐critical software components. Review AI‐generated and engineer‐written code to ensure correctness, maintainability … Ability to convert specifications, acceptance criteria, and architectural designs into actionable implementation plans and verified software. Strong code review and diff‐review capability, including validation of AI‐generated software outputs. Experience using AI‐assisted engineering tools and effectively steering AI coding agents. Understanding of responsible AI practices, including validation, security ...

platforms and backend services; improve telemetry, health monitoring and observability; support reliable field operation and debug fleet issuesCompliance and testing: support testing and validation for safety, EMC, radio and related requirements; prepare test plans and certification artefacts; work with manufacturing through engineering and production validation cyclesCross-functional collaboration: work closely ...

Role Senior Data Operations Manager – London Key Responsibilities Own daily revenue reporting, including data extraction, validation and transformation across multiple systems. Pipeline monitoring – check that ingestion pipelines are running correctly and flag issues, maintaining data integrity. Define and enforce data quality standards, implementing validation frameworks and monitoring for accuracy, completeness ...

across BigQuery and Looker Deliver standardised, scalable gold and semantic data layers Ensure data models reflect lending business logic and requirements Drive data quality, validation, and consistency across datasets Define and implement analytics engineering best practices for modelling, naming, documentation, and testing Lead design and code reviews across the analytics … across complex systems. Highest-signal resume keywords SQL Data Modeling BigQuery Looker Analytics Engineering Best Practices ATS Optimization Keywords Hard Skills Data Quality Data Validation Data Consistency Business Requirements Translation Technical Solutions Design Soft Skills Mentoring Ownership Mindset Problem Solving Industry Keywords Lending Financial Services BI Semantic Layers Tools & Technologies ...

clear implementation plans and verifiable engineering tasks. Decompose solution designs into small, sequenced, testable delivery increments. Guide engineers and AI coding agents through implementation, validation, and release activities. Deliver and oversee complex, high-risk, or business-critical software components. Review AI-generated and engineer-written code to ensure correctness, maintainability … Ability to convert specifications, acceptance criteria, and architectural designs into actionable implementation plans and verified software. Strong code review and diff-review capability, including validation of AI-generated software outputs. Experience using AI-assisted engineering tools and effectively steering AI coding agents. Understanding of responsible AI practices, including validation, security ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Establishes an enterprise-aligned … engineering across teams (approved use cases, guardrails, RACI, auditability), ensuring consistent adoption that improves throughput and quality without increasing risk. Defines and enforces measurable validation standards for AI-assisted changes (mandatory peer review, secure coding controls, automated test thresholds, performance/regression checks, release readiness criteria) and embeds them into ...

clear implementation plans and verifiable engineering tasks.* Decompose solution designs into small, sequenced, testable delivery increments.* Guide engineers and AI coding agents through implementation, validation, and release activities.* Deliver and oversee complex, high-risk, or business-critical software components.* Review AI-generated and engineer-written code to ensure correctness, maintainability … Ability to convert specifications, acceptance criteria, and architectural designs into actionable implementation plans and verified software.* Strong code review and diff-review capability, including validation of AI-generated software outputs.* Experience using **AI-assisted engineering tools** and effectively steering AI coding agents.* Understanding of responsible AI practices, including validation, security ...

system/workflow setups and partnering with external software vendors SQL & Technical Reporting: Write direct SQL queries (SSMS) and manage embedded reporting for data validation, billing workflows, and month-end financial reconciliations BAU & Application Support: Provide 2nd/3rd line support for the firm’s finance systems, assisting with month … timekeeping, and month-end financial processes Hands-on experience with SQL (SSMS) and exposure to reporting/analytics tools (e.g., Power BI) for data validation and dashboarding Strong stakeholder engagement skills, with the ability to bridge the gap between Finance, IT, and operational teams Exposure to complementary legal technology (e.g. ...

enhancement of a modern Azure data platform. Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL. Implement robust data quality, validation, and monitoring frameworks. Deliver a layered data architecture that supports analytics, reporting, and operational applications. Modernise data ingestion processes using native Microsoft technologies. Build historical … with Azure Data Factory and Azure SQL. Experience developing ETL or ELT pipelines and transformation logic in production environments. Knowledge of data quality frameworks, validation processes, and monitoring. Experience implementing layered or medallion-style data architectures. Understanding of CI/CD, source control, and infrastructure-as-code approaches. Working knowledge ...

safe promotion across dev, staging, and production. DevOps & Microservices: Drive operational perfection in a GitOps model using Argo CD. Implement progressive delivery (canary releases, validation gates), codify autoscaling and resiliency, and manage secure secrets via HashiCorp Vault and Kubernetes Secrets. Embrace AI technology: Use AI-assisted tools to accelerate development … validation, and optimization of configuration-as-code, improving delivery speed and reducing deployment risk. Adaptable & Problem-Solver: Address complex challenges across configuration, policy, observability, and data services. Apply a data-driven approach using Prometheus and Grafana to improve reliability and performance. Ownership & Quality: Own end-to-end configuration quality, enforcing ...

production deployment. Security-as-Code Leadership - Champion Infrastructure as Code (IaC) and Security-as-Code practices, including policy enforcement, security linting, and automated compliance validation across cloud environments. Threat Modeling & Architecture Reviews - Lead advanced threat modeling (e.g., STRIDE-LM) for pipelines, microservices, and cloud-native applications, and conduct architecture reviews … risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements. Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations. Required Qualifications, Capabilities, and Skills: Advanced ...

required Desirable experience with NumPy, SciPy, pandas or Polars, Pydantic, Plotly, or equivalent technologies Desirable experience with time-series or sensor data, data validation, numerical optimisation, simulation, statistics, or uncertainty analysis Familiarity with typed Python, developer and user documentation, linting and formatting tools, and modern Python project tooling Experience verifying … Proficiency ATS Optimization Keywords Hard Skills Software Development Python Programming Numerical Software Engineering Reusable Library Development Automated Testing Code Review Version Control Data Validation Scientific Calculation Verification Dependency Management Soft Skills Strong Communication Knowledge Sharing Independent Work Problem-Solving Industry Keywords Engineering Software Scientific Software Data-Intensive Software Renewable Energy ...

business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. … LLMs). Experience with data visualization, analytics, and reporting tools such as Tableau, Power BI, Qlik, Alteryx, or similar platforms. Familiarity with model governance, validation frameworks, and responsible AI practices. Strong understanding of enterprise data architecture, analytics enablement, and data-driven operating models. #J-18808-Ljbffr ...

transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices. Responsibilities Independent validation of a wide range of risk and pricing models. Development of benchmark/challenger models and maintenance of second line risk model library. Development … monitoring of model performance tests. Manage model risk governance process and associated reporting. Author technical validation reports, committee briefing papers and periodic senior management reports. Academic and Professional Qualifications Required Degree in a quantitative discipline - Masters or PhD would be a plus. Professional risk qualification (or studying towards) would ...

processed and where improvements are needed Data Preparation & Engineering Build and maintain Python-based data workflows and supporting pipelines for ingestion, transformation and validation of modelling data Maintain and further develop Pythia’s historical data assets, ensuring they remain accurate, accessible and fit for analytical use Work with engineers … make it easier to explore, prepare and troubleshoot data used by the quant team Data Quality, Investigation & Improvement Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines and sources Define ...

Responsibilities Product & Trade Lifecycle Management Oversee the full lifecycle of exotic OTC derivative products from execution through settlement. Ensure accurate trade capture, booking, validation, lifecycle event processing, and trade maintenance. Manage collateral, financing events, corporate actions, cash management and position management activities. Maintain robust reconciliation processes across counterparties, brokers … documentation and ensure effective margin management processes. Middle Office & Trade Support Provide first-line support to global trading desks. Maintain strong controls across trade validation, collateral management, settlement oversight, cash and position management. Manage relationships with Prime Brokers and counterparties. Support business growth initiatives while ensuring operational resilience and scalability. ...

production deployment. Security-as-Code Leadership - Champion Infrastructure as Code (IaC) and Security-as-Code practices, including policy enforcement, security linting, and automated compliance validation across cloud environments. Threat Modeling & Architecture Reviews - Lead advanced threat modeling (e.g., STRIDE-LM) for pipelines, microservices, and cloud-native applications, and conduct architecture reviews … risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements. Drives reuse-first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations. Required Qualifications, Capabilities, and Skills: Advanced ...

enable repeatable, low-risk change. Translate high-level design and policy into validated templates, pipelines, and reusable automation components. Implement guardrails including pre-change validation, compliance checks, drift detection, and automated rollback. Enable self-service infrastructure consumption models while maintaining strong governance and control. Cisco ACI & Policy-Driven Platforms Design … multi-pod environments. Integrate Cisco ACI with IPAM, CMDB, CI/CD pipelines, and security platforms. Automate APIC operations, configuration lifecycle management, and consistency validation across environments. Use ACI policy models as part of a broader infrastructure abstraction strategy. Routing, WAN & Platform Integration Automate deployment and optimisation of BGP, OSPF ...

autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces. Pre-flight Preparation — Own the build, configuration, and validation process for flight‐ready systems; coordinate hardware/software compatibility and mission readiness. On‐site Flight Test Support — Travel to test sites and support live … processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles. Support Certification and Compliance — Assist with documentation and system‐level validation required for certification, airworthiness, and compliance in defense‐relevant environments. Travel Requirement — Members of this team typically travel around 30-40% of the year ...

firm and portfolio level. Lead efforts to modernize the sustainability function through technology-enabled and AI-assisted workflows, supporting areas such as data validation, regulatory compliance and portfolio analytics. Portfolio Integration Partner with acquisitions teams globally to assess sustainability considerations during investment due diligence. Work with asset management teams … value creation opportunities. Support the assessment of physical and transition climate risks across the portfolio. Data, Reporting and Investor Communications Own sustainability data collection, validation and analysis across the global portfolio, working with asset management teams, operating partners, property managers and external consultants. Improve internal databases, dashboards and reporting tools ...

assisted workflows to enrich incidents, surface risk signals, and accelerate decision-makingAutomating change management processes including risk scoring and compliance evidence collectionCreating policy validation pipelines and maintaining operational documentation and proceduresDelivering self-service tooling that empowers Technology and Operations staff to act independentlyDriving continuous improvement in operational metrics through instrumentation … architecture, workflow orchestration, and observability tooling. Typical deliverables include automated DR evidence collection systems, incident enrichment pipelines, change automation with risk scoring, and policy validation frameworks. This role requires strong communication, collaboration, and critical thinking skills, with the ability to operate independently and deliver complete solutions in a fast-paced ...

incident response, relieving pressure on the permanent team and keeping migration cadence up. Author and maintain production-grade Terraform (and Bicep) modules, with testing, validation, versioning, and automated drift detection and remediation. Design landing zones, hub-and-spoke network architectures, private endpoint patterns, and hybrid connectivity (ExpressRoute and VPN gateways … stack, and hosting for AI tools including Flagstone Concierge, with model access through AWS Bedrock. Build and maintain infrastructure pipelines with security scanning, plan validation, and approval gates. Implement RBAC using Entra ID, managed identities, and service principalsWhat you'll bring: Hands-on Azure platform experience across landing zones, networking ...

graph databases, semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage Implement robust data quality frameworks (validation, profiling, anomaly detection) Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection) Ensure alignment with governance, security and industry standards AI Enablement … major cloud platform (AWS, Azure or GCP) Hands-on experience with semantic or ontology-driven data models, including: RDF/OWL modelling, SHACL validation or ontology tooling Semantic ETL and ontology mapping pipelines Knowledge graph construction, enrichment and query patterns Experience operationalising pipelines for AI systems, LLM workflows or retrieval ...

requirements. Configure and customize Salesforce Media Cloud, including: Understanding and leveraging the Media Cloud data model. Building Salesforce screen and record-triggered flows. Creating validation rules, custom fields, and duplicate rules. Configuring record sharing and security settings. Integrate Salesforce Media Cloud with third-party platforms like Criteo, Google Ad Manager … Media Cloud capabilities and limitations. Proficiency in Salesforce configuration, customization, and integration, including: — Salesforce data model and object relationships. — Screen and record-triggered flows. — Validation rules, custom fields, and duplicate rules. — Record sharing and security settings. — Familiarity with related technologies such as Salesforce Marketing Cloud, CRM, and data analytics tools. ...

ensuring alignment with security, data privacy, and regulatory requirements. This is a highly practical role, combining solution architecture with hands-on engagement in prototyping, validation and delivery. It requires a strong technical foundation across enterprise architecture (including cloud, integration, and security), as well as the ability to operate effectively across … Work closely with engineering and delivery teams to ensure solution designs are effectively implemented and meet intended outcomes. Provide hands-on support in prototyping, validation and troubleshooting where required. Act as the technical point of accountability for solution design decisions throughout the delivery lifecycle. Design solutions with full consideration ...