10 of 10 Permanent Validation Jobs in Wrexham

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business ...

assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document ...

backend technologies such as Node.js and TypeScript and enjoys combining software development practices with quality assurance. They will contribute to test design, automation, API validation, and infrastructure review while helping maintain a strong quality culture within the engineering team. Responsibilities Design and execute tests for backend systems, including APIs, databases ...

programming, with a focus on clean, efficient, and production-quality code Demonstrated ability to work with stakeholders to understand data needs and guide the validation and delivery process Experience implementing and maintaining data quality tests and monitoring solutions Strong verbal and written communication skills Ability to think holistically about data ...

principles. As a Senior Software Engineer, your role will be all-encompassing, involving hands-on development, team leadership, documentation as well as testing and validation of code. You will contribute to project planning and ideally have experience of CI/CD as well as Infrastructure-as-Code. Their head office ...

alignment between specifications, code, and expected outputs Expected Outcomes: High-quality, production-realistic coding tasks Complete and correct reference implementations Robust test coverage and validation artifacts Structured, actionable peer review feedback ...

React/Angular). Collaborate with security and network teams to integrate firewall policies and security protocols into applications. Assist in the design and validation of firewall rules and ACLs , ensuring secure access to application modules. Translate security and compliance requirements into front-end behavior and access control logic. Troubleshoot ...

laboratory teams. Maintain and support LIMS implementations. Collaborate with IT teams to specify and validate LIMS customisation and development requirements. Support Computer System Validation (CSV) efforts, including coordination with the testing team. Define data migration strategies, perform data mapping, lead data cleansing efforts, execute migration scripts, and validate migrated data … primary), with experience also desirable in LabVantage and LabWare . Extensive experience in business requirements gathering, analysis, and documentation. Demonstrated expertise in Computer System Validation (CSV). Prior experience supporting laboratory IT projects within regulated environments (healthcare, pharma, biotech, etc.). Excellent communication skills and the ability to liaise effectively ...

Software Engineering Leadership Establish engineering standards across the platform including: Coding standards and best practices Development workflows Continuous integration and testing pipelines Simulation and validation environments Software quality and release processes Provide hands-on technical leadership and mentorship to engineers and partners. 6. External Partner and Supplier Integration Work closely … adoption of AI-assisted software development tools across the engineering ecosystem. Use cases include: AI-assisted code generation Automated test creation Static analysis and validation Simulation-driven verification AI-assisted debugging and optimisation The objective is to maximize engineering productivity while maintaining high-quality production software. Key Deliverables ...