26 to 50 of 2,801 Validation Jobs in the UK excluding London

Product teams. Managing multiple workstreams while ensuring delivery aligns to wider programme objectives. Defining governance, data quality and best practice standards. Supporting testing, validation and go-live readiness of analytical solutions. Contributing to pre-sales activities, solution design and client growth opportunities. Benefits Performance bonus. Private healthcare. Generous pension contribution. ...

organisation. Develop and implement CRM data strategies aligned with business objectives and customer engagement goals. Lead data governance activities, ensuring data accuracy, quality standards, validation processes and compliance requirements are maintained. Act as the subject matter expert for CRM data and Salesforce, providing leadership on system administration, optimisation and governance. ...

including APIs, spreadsheets, and core systems, ensuring reporting is accurate and reliable. Own data quality, contribute to improvements in governance, and support refresh cycles, validation checks, and performance optimisation. AI, Automation & Continuous Improvement: Support AI-driven insights and automation in analytics and reporting. Reduce manual reporting and repetitive tasks ...

coordinating testing, communication, and deployment activities. Support integrations between SuccessFactors and associated enterprise applications, ensuring data integrity and operational resilience. Lead data migration, validation, reconciliation, and data quality initiatives across the HR technology landscape. Act as an escalation point for complex incidents, service requests, and problem investigations. Administer role-based ...

regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures for constructing robust, scalable solutions Data processing & orchestration ...

standardized MCA dashboards, metrics, and management reports.Perform data analysis to identify trends, exceptions, and potential control gaps within the risk and control environment.Support data validation, reconciliation, and quality assurance activities across MCA data sources.Assist with requirements gathering, documentation, testing, and implementation of MCA automation solutions.Partner with Risk, Controls, and Technology ...

service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control ...

modelling, incremental refresh, performance tuning, model governance and capacity/cost awareness. Experience leading legacy-to-modern data platform migrations, including metric parity, stakeholder validation, change control and safe decommissioning. Experience operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality checks, lineage and runbooks. Comfortable ...

medical device or healthcare environments (desirable) Experience developing software within a regulated environment, including awareness of quality system requirements, software lifecycle controls, traceability, verification, validation, and software risk management (desirable) Experience with event-driven architectures, messaging technologies, IoT platforms, telemetry, or scientific systems (desirable) Additional experience with Linux, time-series ...

Fabric Apply data governance and security best practices by implementing Purview classification, lineage, access controls, and policies Conduct data quality checks, data validation routines, and issue resolution to ensure trustworthy and reliable datasets Work closely with cross-functional teams (data architects, analysts, data scientists, product teams) to understand requirements ...

modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power BI reporting and analytics. Putting data quality, validation and reconciliation processes in place so the numbers can be trusted. Monitoring, troubleshooting and keeping the platform fast, reliable and available. Configuring and supporting master ...

Python and SQL to clean, model, and analyse data; deliver self-service analytics through governed semantic models and reporting layers. Lead UAT and business validation for analytics outputs and AI products. Support and lead teams in moving from manual reporting to governed, AI-enabled analytics. What You'll Bring Extensive ...

change Work with IT, cyber security, software, firmware and supplier teams to support service availability, incident resolution and controlled platform change. Contribute to data validation, monitoring, transformation and handover between operational platforms and analytical environments. Proactively identify opportunities to simplify, automate and strengthen digital platform delivery. Growth into MLOps ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

applicable o JSON, XML, XSLT, XPath and schema-based transformations • Implement robust error handling, replay, recovery and operational support patterns covering technical failures, business validation failures, rejected records and downstream availability issues. • Support performance tuning for high-volume integrations, including batching, pagination, payload optimisation, parallel processing and appropriate ...

design.Experience leveraging AI-assisted delivery tools and enterprise copilots to improve productivity, analysis, reporting or engineering efficiency.Deep experience working with Quants, Market Risk, Model Validation and regulatory stakeholders.Benefits of working at Bank of America: UKAt Bank of America, we strive to prioritise employees’ health and wellbeing – it’s what makes ...

testing, dependency and environment management. Machine learning across the standard toolkit (scikit learn, pandas, NumPy, statsmodels or equivalents), with sound judgement about model selection, validation and the limits of what the data supports. MLOps and CI/CD in practice, covering pipeline orchestration, model versioning, automated deployment, monitoring and retraining. ...

performance development for a team of up to 8 direct reports. Oversee the full software development lifecycle from concept and architecture through development, testing, validation, deployment and support. Provide technical leadership across software, embedded systems and connected technologies projects. Ensure software development activities comply with relevant quality and regulatory standards ...