26 to 50 of 3,372 Validation Jobs in England

information security, data privacy, records management, regulatory, compliance and operational resilience requirements.Design controls into AI-enabled processes, including human-in-the-loop review, explainability, validation, testing, monitoring, exception handling, evidence capture and audit trails.Collaborate with Global Markets AI and the AI CoE to reuse common components, contribute reusable patterns … evaluation, hallucination risk, guardrails and responsible AI controls.Agentic workflows – Ability to design and implement agentic or semi-agentic workflows with appropriate human oversight, logging, validation and exception handling.Python – Strong Python development skills and ability to build maintainable, tested and documented code.SQL and databases – SQL and database experience, including data extraction ...

planning. The post holder will support the safe and effective adoption of artificial intelligence, automation and advanced analytics across NEMS, contributing to the governance, validation and evaluation of new technologies and analytical approaches to ensure they deliver clinical, operational and organisational benefit. About us About NEMS NEMS … maintenance of organisational data standards, definitions and reporting documentation to improve consistency and confidence in organisational reporting. Identify and deliver opportunities to automate reporting, validation and analytical processes to improve efficiency and reduce manual effort. Evaluate emerging analytics, automation and artificial intelligence technologies, supporting their safe and appropriate adoption ...

ability to assure quality solutions. This role operates within an agile delivery team in a Data Factory model and focuses on technical validation of data pipelines, transformations, and analytical outputs to ensure high levels of data quality, accuracy, and reliability for a data migration transformation programme.Working under the QE Automation … execute automated data tests in line with functional requirements, non-functional requirements and acceptance criteriaValidate data quality dimensions.Implement source-to-target reconciliation, schema validation, and transformation testing in ETL/ELT environmentsCollaborate with cross-functional teams in a multi-vendor environment to understand business requirements and translate them into technical ...

ensure accuracy, completeness, and consistency of critical data assets.Oversee and manage complex Data Migration projects, including strategy development, planning, execution, and post-migration validation, ensuring minimal disruption and data integrity.Develop and implement Metadata Management strategies and solutions, including data cataloguing, business glossaries, and data lineage tracking, to enhance data understanding … experience in developing and deploying comprehensive data management solutions in a professional setting.Designing, implementing, and managing Data Quality programmes, including data profiling, cleansing, validation, and monitoring.Executing Data Migration projects across various source and target systems, including defining migration strategies, data mapping, transformation, and reconciliation.Metadata Management tools and practices, including data ...

performance reports, risk metrics and strategy dashboards Design and maintain dashboards and data visualisations Apply model governance practices, including documentation, version control and validation protocols Evaluate new technologies and methodologies, including artificial intelligence and machine learning Support product development and market research through data analysis and quantitative modelling Collaborate with ...

Work closely with Business Analysts, Data Analysts, Product teams and senior stakeholders to understand requirements and translate them into effective technical solutions. Implement testing, validation and monitoring to ensure data accuracy, model performance and solution reliability. Optimise data processing, storage and AI workloads for performance, scalability and efficiency. Produce clear ...

support self-service BI and advanced analyti cs.Collaborate with cross-functional teams to define KPIs, reporting standards, and business metri cs.Conduct data profiling, validation, and quality assurance to ensure high data integri ty.Present analytical findings and actionable insights to both technical and non-technical stakeholde rs.Ensure compliance with data governance ...

technical development.Work closely with Business Analysts, Data Analysts, Product teams and senior stakeholders to understand requirements and translate them into effective technical solutions.Implement testing, validation and monitoring to ensure data accuracy, model performance and solution reliability.Optimise data processing, storage and AI workloads for performance, scalability and efficiency.Produce clear technical documentation ...

strategic decision‐making. Data Quality, Governance & Integrity Ensure data quality, accuracy, and consistency across all reports and analytical outputs Carry out regular data cleansing, validation, and reconciliation activities Support the implementation and adherence to data governance policies and standards Documentation & Knowledge Sharing Document methodologies, processes, and outputs to promote transparency ...

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 ...

data to identify trends, patterns and key findingsBuild scalable, reliable and fit-for-purpose data models, datasets and reporting solutionsConduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliableContribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilitiesSupport ...

scheduling, dependency management, error handling, alerting, and incident response — to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues proactively. ...

data models, schemas, and data governance frameworks to support analytical and operational needs.Utilise SQL and scripting languages (Python or R) for data extraction, transformation, validation, and integration across diverse data sources.Project Management & Stakeholder EngagementManage project timelines, scope, and deliverables effectively, ensuring successful outcomes and client satisfaction.Collaborate closely with cross-functional ...

data models, schemas, and data governance frameworks to support analytical and operational needs.Utilise SQL and scripting languages (Python or R) for data extraction, transformation, validation, and integration across diverse data sources.Project Management & Stakeholder EngagementManage project timelines, scope, and deliverables effectively, ensuring successful outcomes and client satisfaction.Collaborate closely with cross-functional ...

data models, schemas, and data governance frameworks to support analytical and operational needs.Utilise SQL and scripting languages (Python or R) for data extraction, transformation, validation, and integration across diverse data sources.Project Management & Stakeholder EngagementManage project timelines, scope, and deliverables effectively, ensuring successful outcomes and client satisfaction.Collaborate closely with cross-functional ...

pipeline development, and cloud-based data platforms, with a focus on AWS Data Lakehouse environments.This role is key to supporting the design, build, and validation of data migration pipelines, enabling the successful transition of data from legacy systems to modern cloud platforms. You will contribute to ensuring data quality, integrity … performance, particularly through structured testing and validation activities.You will work closely with architects, senior engineers, and analysts to deliver scalable and reliable migration solutions, using technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML configurations. You should be comfortable working in a collaborative, delivery-focused environment ...

Epicor ERP/Kinetic implementation and enhancement projects Assist with system configuration and module optimisation Coordinate User Acceptance Testing (UAT) activities Support data migration, validation and cleansing exercises Work with third-party vendors, consultants and development teams Assist with issue resolution and system troubleshooting Stakeholder Management Engage with department managers … Epicor ERP/Epicor Kinetic ERP workflows and business processes SQL and reporting tools Microsoft Office suite Business process mapping tools Data migration and validation processes ...

data platforms. This role will lead a team of SDETs responsible for validating ETL/ELT pipelines on AWS and end‐to‐end data validation testing.The role combines strong technical leadership, hands‐on contribution and team leadership, working collaboratively with the QE Lead to shape and refine the automation approach. … being applied with sufficient auditable test coverage and results. This applies to Unit, System, Automated Interface/E2E, Performance, Operational Acceptance, UAT data validation (Test Witness). This includes supporting Testing Quality Audits.Automated Data Testing Strategy & DesignDesign and implement an automated test approach in agreement with the QE Lead aligned ...

test cases, and test execution reports. Perform API testing and integration testing across internal and third-party platforms. Support SIT, UAT, FOV (First Occurrence Validation), production releases, and post-release verification activities. Validate business-critical payment processing and settlement workflows. Perform data validation, reconciliation, and operational testing to ensure ...

test cases, and test execution reports. Perform API testing and integration testing across internal and third-party platforms. Support SIT, UAT, FOV (First Occurrence Validation), production releases, and post-release verification activities. Validate business-critical payment processing and settlement workflows. Perform data validation, reconciliation, and operational testing to ensure ...

anomaly detection. · Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. · Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. · Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. · Build reusable notebooks, scripts and pipelines that support repeatable machine learning … skills and experience working with complex or sizeable datasets. · Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model evaluation and optimisation. · Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least one of XGBoost, LightGBM, TensorFlow or PyTorch. ...

maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystemDevelop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systemsBuild robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelinesDesign and optimize …/CD pipelines and deployment processes to ensure reliable and repeatable releases. Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworksCollaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions. Continuously improve the platform through modern engineering practices ...

remains accurate, performant and operationally useful. As a Senior Detection Engineer, you'll own detection use cases through their lifecycle, from research and data validation through KQL development, testing, deployment, tuning and continuous improvement. Hybrid: Farnborough 3 days per week, 2 days home based. SC Cleared or eligible. What … Knowledge of Microsoft Defender XDR, Advanced Hunting or related Microsoft security services. Familiarity with infrastructure as code, ARM, Bicep or Terraform. Experience with detection validation, adversary simulation or purple-team exercises. Awareness of responsible AI-assisted engineering and practical uses of AI to support detection research, development or documentation. Relevant ...

working with teams to address them. Carry out routine data quality work (e.g. patient demographics, contact details, workflow and tasks). Support APEX data validation and other regular data quality processes. Respond to data queries (e.g. record validation, pop-ups, missing indicators). Systems & Configuration Develop and support SystmOne configuration ...

using Automation Anywhere Automation 360, following agreed development standards and best practices. Build and configure Document Automation learning instances, including document classification, data extraction, validation workflows and human-in-the-loop patterns. Integrate AI and cloud services, such as Azure OpenAI and Azure AI Document Intelligence, into automation solutions. Design … processing technology, such as IQ Bot, ABBYY or Azure AI Document Intelligence. Experience creating and configuring document-processing models or learning instances, including extraction, validation and human-in-the-loop workflows. Experience integrating REST APIs, cloud services and AI capabilities into automation workflows. A solid understanding of OCR concepts, document ...