601 to 625 of 4,777 Validation Jobs in the UK

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 ...

troubleshooting and resolving complex platform and integration issues. Strong Salesforce platform knowledge, including Sales Cloud and platform automation capabilities. Advanced knowledge of Salesforce Flows, validation rules, security model, profiles, permission sets, and sharing architecture. Strong Apex development skills, including classes, triggers, asynchronous processing, and test automation. Knowledge of Salesforce integration ...

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 ...

anticipating risks, validating distributed systems, and ensuring seamless user experiences across Web3-enabled features. You are confident in manual testing, comfortable with API-level validation, and eager to integrate AI-driven testing tools to improve coverage, speed, and defect detection. If you’re excited to shape quality practices for blockchain ...

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 ...

tenant isolationBack-end engineering: Python (nice to have: Typescript/Node. JS)Pipelines: streaming, CDC, correctness, replayability, and evolution over timeData quality and observability: validation, testing, data contracts, monitoring, alerting, and incident responseInfrastructure as code and containerisation (Terraform, Kubernetes)Our data stackOur stack will change as we grow ...

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. Applies knowledge of tools ...

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 ...

/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 ...

based agents, AI‐augmented IDEs, and automated workflows. You are ultimately accountable for production quality, security, and correctness. This means owning infrastructure review, security validation, system observability, and operational guardrails. What You'll Do Design, build, and scale cloud-native distribution infrastructure with high resilience and performance requirements. Own system ...

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 ...

/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 ...

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 ...

/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 ...

/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 ...