251 to 275 of 3,577 Validation Jobs in England

Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to ...

Software Development Engineer in Test (SDET) Location: Manchester, Exchange Quays Working pattern: Hybrid- 2 days on site The Role We are looking for an experienced Software Development Engineer in Test (SDET) to join a growing ...

Do you possess experience configuring and integrating cloud infrastructure services? Are you interested in improving efficiency and user experience through better performing applications? Would you like to be part of a collaborative engineering culture? We ...

Introduction At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry ...

Title: Senior QA Validation Engineer Location - Cambridge: On Site (some flex on occasion Salary - £80k - £100k (depending on experience) + up to 10% bonus (company performance dependent) + equity Overview We are seeking an experienced Senior QA Validation Engineer to support the development and delivery of complex, safety-critical software … systems within a regulated environment. This role combines software verification and validation activities with quality and compliance responsibilities, ensuring that software products are developed, tested, and documented in accordance with established quality management processes and industry standards. Working closely with cross-functional engineering teams, you will contribute throughout the software ...

Systems Validation & Quality Engineer - Biometrics and Airport solutions# Careers## Systems Validation & Quality Engineer - Biometrics and Airport solutionsApply: On Site: London Heathrow: Full time: Posted 12 Days Ago: End Date: October 30, 2026 (8 days left to apply): R36728**Job Title**Systems Validation & Quality Engineer - Biometrics and Airport solutions Vision … Test automation\\* Assess necessity to automate subset of (or all) test scripts,\\* Use test automation framework and contribute to its improvement, Hardware, Infrastructure & Field Validation\\*Verify the correct operation of biometric kiosks, eGates and associated infrastructure.\\*Support on-site testing activities at customer locations and airports.\\*Investigate and reproduce issues ...

management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. Responsibilities Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy … explainability, model design, and algorithmic robustness. Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models. Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations. Collaborate with model developers and business stakeholders to address identified issues and improve ...

management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. Responsibilities Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy … explainability, model design, and algorithmic robustness. Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models. Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations. Collaborate with model developers and business stakeholders to address identified issues and improve ...

management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. Responsibilities Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy … explainability, model design, and algorithmic robustness. Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models. Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations. Collaborate with model developers and business stakeholders to address identified issues and improve ...

management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models. Responsibilities Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy … explainability, model design, and algorithmic robustness. Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models. Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations. Collaborate with model developers and business stakeholders to address identified issues and improve ...

Python for data pipelines, automation and integrations Designing and supporting production data pipelines and data warehouses Data modelling and scalable data architecture Data quality, validation, monitoring and observability Git, code reviews, automated testing and CI/CD Troubleshooting complex data and production issues Working independently and taking ownership of technical … comfortable working with inconsistent upstream data, identifying root causes and implementing practical solutions to improve data integrity, reliability and quality . Experience with automated validation approaches using SQL/Python or technologies such as Great Expectations or dbt tests would be particularly relevant. Alongside hands-on delivery, you will have ...

implementation. Develop, rebuild and maintain data warehouse pipelines and ETL processes. Write, optimise and maintain complex SQL queries and stored procedures. Support data transformation, validation and reconciliation to ensure accuracy and consistency during migration. Develop and maintain data models, datasets, dashboards and reports. Translate business requirements into meaningful reporting … with data warehouses, data pipelines and ETL processes. Previous involvement in data migration or system implementation projects. An understanding of data modelling, data quality, validation and reconciliation. Experience developing reports and dashboards using a BI visualisation tool such as Power BI or Tableau. The ability to communicate technical concepts clearly ...

related issues through to resolution. Assist in developing operational processes and controls to support the new platform. Support user acceptance testing and post-migration validation activities. Escalate risks and data concerns where appropriate. Maintain detailed documentation throughout the migration lifecycle. Required Experience Experience working within Data Operations, Data Quality, Data … stakeholders. Comfortable working independently in a fully remote environment. Desirable Experience Experience supporting cloud migration or digital transformation programmes. SQL knowledge for basic data validation and analysis. Experience within SaaS, software, technology, or data-driven organisations. Exposure to customer onboarding or customer migration projects. Understanding of data quality frameworks ...

data management, strategy, and governance across Marketing Design, maintain, and optimise Marketing databases and data collection systems Manage data quality projects including cleansing, validation, deduplication, and standardisation Develop and implement data validation rules and quality control processes Conduct regular data audits to identify and resolve integrity issues Oversee data migration … document data flows Monitor and report on compliance risks and issues About You Essential Proven experience leading data management projects, including data cleansing, validation, governance and quality improvement initiatives. Strong technical skills in database management, data analysis and reporting. Good understanding of AI technologies, including prompt engineering and workflow automation ...

auditability. Build and operate AI-monitoring controls covering model performance, fairness, bias, drift and validation. Support model-testing activities including hold-out testing, cross-validation and performance measurement. Contribute to AI risk assessments, governance documentation and ongoing oversight. Conduct root-cause analysis and support reporting, investigations and wider analytical requirements. … analytics. Strong SQL and Python skills for data analysis, profiling and control development. Experience designing or operating data-quality rules, profiling routines or automated validation controls. Experience working with structured and unstructured datasets. Strong understanding of metadata concepts including classification, lineage, taxonomies and ontology modelling. Knowledge of AI and machine ...

Apply machine learning techniques to low signal‐to‐noise datasets where robustness and statistical discipline are critical. Conduct extensive out‐of‐sample testing and validation to ensure model reliability and performance. Evaluate model effectiveness using appropriate statistical techniques and predictive performance metrics. Develop approaches for handling non‐stationary data, structural … market changes, and evolving market regimes. Design methodologies for modelling rare events and infrequent outcomes. Model Validation and Research Standards Produce comprehensive evidence supporting model validity and research conclusions. Work within a rigorous research framework emphasizing reproducibility, explainability, and statistical robustness. Support independent validation processes through clear documentation and transparent ...

identifying dependencies and migration requirements. Collaborate with technical teams to define data mapping, transformation rules, and migration strategies . Support testing activities, including data validation, reconciliation, and User Acceptance Testing (UAT) . Identify potential risks, issues, and improvements throughout the migration lifecycle. Act as a bridge between business stakeholders … experience participating in data migration or system migration projects . Experience in functional analysis, requirements gathering, and process documentation . Understanding of data mapping, validation, and reconciliation processes . Excellent communication and stakeholder management skills. Fluent English. Nice to Have: Knowledge of legacy banking systems and modernization initiatives . Familiarity ...

standards across the product, using strong fund knowledge and working SQL skills to identify, investigate, and resolve data issues Own day-to-day data validation and quality checks, investigating anomalies and assessing the impact of data issues on clients, reporting, and downstream product functionality Track regulatory developments across PRIIPs, Solvency … release Support backlog grooming and prioritisation by assessing requirements, dependencies, data implications, and potential impact across the product Participate in UAT and feature validation, using a strong understanding of fund data and product functionality to identify issues, challenge outputs, and ensure requirements have been met Conduct market and competitor research ...

teams. Key Responsibilities Provide expert guidance on SAS architecture, data flows, platform design, and cloud re‐platforming approaches. Define and assure the SAS migration, validation, and reconciliation strategy alongside data engineering and architecture teams. Support the development of High‐Level Designs (HLDs), Low‐Level Designs (LLDs), technical documentation, and knowledge … articles. Ensure SAS data integrity throughout migration, testing, validation, and dual‐running activities. Mentor and support SAS Engineers and implementation teams throughout the delivery lifecycle. Skills We Can't Do Without Extensive experience as a SAS Subject Matter Expert, including SAS architecture, administration, and analytics platforms. Strong understanding ...

frequently and understand NoSQL databases Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectation s. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts … Python. Experience across the data lifecycle. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before ...

external data providers and customers, with bidirectional flows in each destination's required format. Build repeatable onboarding for customer first-party data, covering intake, validation, standardisation and integration with Hive's existing data architecture. Design for rapid onboarding of new datasets, schemas, grains and keys, with clear boundaries between core … platform and partner-specific configuration. Build reusable record linkage, key mapping, schema mapping, data contracts, validation and output generation across audience, segment and geographic grains. Automate QA for coverage loss, join-rate changes, schema drift and geographic mismatches, with lineage from source to final output. Partner with our data engineering ...

will work closely with hardware, product, optical, electrical, and software engineering teams to develop reliable and scalable automated test solutions that support product development, validation, manufacturing, and characterisation activities. This is a hands‐on technical role requiring good software engineering skills, use of automated test and measurement equipment … measurement systems role. Strong software development experience using C# and .NET. Good understanding of physics or electronics. - differentiator Experience with software debugging, verification, validation, and troubleshooting. Experience using source control systems such as Git. Knowledge of software development lifecycle processes and modern development methodologies. Ability to solve complex real‐world ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. … also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering ...

Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial services regulations and compliance , including GDPR. Excellent stakeholder management ...

Model-Based Testing End-to-end Functional, Regression, SIT & UAT Testing Experience with API Testing (Postman/REST) Strong understanding of SQL and data validation Experience with JIRA , qTest/ALM , defect management and test reporting Exposure to CI/CD tools such as Jenkins or Azure DevOps Working experience ...