476 to 500 of 3,722 Validation Jobs in England

meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring, and operational support. Evaluation and quality assurance: Create evaluation datasets, test harnesses, validation tools, regression checks, and quality review workflows to measure accuracy, extraction quality, hallucination risk, and business usefulness. Architecture and technical leadership: Define solution architecture, engineering ...

datasets in multiple database platforms. (Oracle, SQL Server) Essential: Ability to understand existing and new business processes and requirements to ensure proper implementation and validation of systems. Essential: Strong communication and interpersonal skills ensuring the ability to interact with the business, peers and vendors in a professional manner. Essential: Ability ...

productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines). Build feature sets and establish reusable data science pipelines and validation checks. Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data ...

accuracy. Define and enforce dashboard standards, naming conventions, and best practices across the Insights team. Data Quality & Governance Define and enforce data quality standards, validation frameworks, and reconciliation processes across all analytics outputs. Document data definitions, lineage, and business logic to support audit readiness and team scalability. Stakeholder Engagement & Leadership ...

have to be limited to activities primarily in the scope of Group Risk Analytics and can encompass, but is not limited to, model validation support, new model adoption support, cat model operations oversight and governance, and natural catastrophe research. Support the Natural Catastrophe Exposure Management Lead, Group Risk Analytics team ...

QuickSight dashboards for real-time operations and executive reporting Support legacy platform migrations (Avaya, Genesys, Cisco, Oracle, Salesforce): flow conversion, data migration, parallel-run validation, and production cutover on live contact centers Full-Stack & Portal Engineering Build custom Agent Workspace experiences with the Amazon Connect Streams API, third-party ...

associated inbound/outbound data flows. Implement robust testing of all interfaces including unit testing, integration testing, regression testing, and end‐to‐end message validation across test and staging environments. Monitor interface performance, throughput, and error rates; proactively identify and resolve issues to maintain high availability of critical clinical data ...

roadmap, balancing user needs, regulatory outcomes, technical opportunities, risk, cost and the FCA’s strategic objectives Lead the full product lifecycle, from discovery and validation through development, operation, continuous improvement and retirement, using evidence to decide when to invest, continue, change direction, pause or stop Apply solid technical understanding ...

improve processes and data quality. Support product creation, amendments and product data management. Assist with taxonomy and product classification activities. Carry out data validation, quality checks and governance activities. Produce KPI reports and management information. Support shared mailboxes, workflow queues and service requests. Maintain process documentation and work instructions. Contribute ...

Work to reduce the time-cost of manual analysis. Take ownership of the recurring ancillary analysis & tools, ensuring delivery within agreed SLAs. Data Prep & Validation: Act as the gatekeeper for data entering the financial models. Clean, format, and validate client financial data to ensure the advice we give is based ...

leadership have earned the trust of thousands of forward-thinking businesses. What You’ll Be Doing: Manage Technical Deal Cycles: Lead the technical validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy standards. ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...

business outcomes. You hold an honest, practical view about AI. You’re enthusiastic about what governed, semantically‐modelled data makes possible, but rigorous about validation and approach new capability with a healthy skepticism (but not cynicism). Responsibilities Partner with stakeholders across operations, commercial, finance, and supply chain to design ...

agent workflows for clinical evidence extraction, retrieval, reasoning, patient identification, guideline-driven review and conversational experiences. Build robust LLM integrations using structured outputs, schema validation, tool calling, bounded context and explicit workflow state. Develop retrieval and data pipelines across structured clinical data and free text, preserving provenance and links ...

driven process improvements that deliver measurable business outcomes. Strong understanding of AI governance and operational excellence, including data classification, confidentiality, risk management, human validation, structured documentation, knowledge management, and responsible AI adoption within customer-facing environments. Preferred qualifications include PMP, PRINCE2, PgMP, MSP, PMI-ACP, ITIL, or equivalent certifications; proficiency ...

Leadership Drive best practices in data modeling, CI/CD, code reviews, and performance optimization. Collaborate across engineering teams to define data contracts, schema validation rules, and automated quality checks. Mentor junior engineers by pairing on code, reviewing pull requests, and helping them deepen technical maturity. Participate actively in sprint ...

omics AI platform, incorporating full-lifecycle MLOps Identify, ingest, link and curate data across large-scale multi-omics and imaging datasets, including data quality, validation, traceability and storage optimisation Standardise and automate the model lifecycle, so research models can move into production with confidence Build and orchestrate analytical/processing ...

agents, and integration capabilities to technical evaluators and business leaders alike.## **What You’ll Be Doing:*** ## Manage Technical Deal Cycles: Lead the technical validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy ...

guidelines including CCAR, CECL, DFAST, ICAAP. Good stakeholder engagement skills with an ability to collaborate with colleagues in other functions (business, risk and model validation). Self‐motivated and intellectually curious about both the role, supporting technologies and the wider bank. Benefits of working at Bank of America (UK) Private ...

/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance, designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability ...

what happens downstream when the assumptions are wrong. Data Integrity Discipline: A high personal bar for data quality, with the controls, reconciliation habits and validation instincts to catch errors before leadership does. AI‐Assisted Working Practice: The habit of reaching for AI tooling as a first‐class part ...

management platforms using recognized frameworks and vendor guidance. Own patching and vulnerability-remediation workflows, including asset coverage, risk-based prioritization, remediation timelines, exception documentation, validation, and status reporting. Administer and validate endpoint protections such as full-disk encryption, EDR/XDR, host firewall, secure boot, application controls, device compliance, removable ...

issued equipment Formal, hands-on training Role Responsibilities Managing and maintaining Salesforce CRM, including users, roles, permission sets, objects, fields, layouts, record types and validation rules. Building and optimising declarative automation using Salesforce Flow, focusing on scalable, maintainable solutions and a strong user experience. Partner with stakeholders to gather requirements ...

with clear evidence of your contribution and its operational or adoption impact. A practical understanding of the ML lifecycle: training, evaluation, versioning, deployment, online validation, monitoring and safe rollback. Experience designing for latency, resilience, observability and cost in production systems. Experience with LLMs, embeddings, semantic search, retrieval or agent systems ...

business solution delivery, from requirements definition through to design, development, testing, deployment, and post-implementation support—ensuring alignment with budget and timelines Lead the validation and approval of business requirements, guiding the creation of development specifications and overseeing UAT and implementation testing to ensure solutions meet strategic goals Drive strategic ...