1 to 25 of 519 Permanent Validation Jobs in England

Validation/Quality Assurance Specialist, Pharmaceutical Location: Derby Salary: £30,000-£34,000 depending on experience (plus company bonus) Hours: Monday - Friday, days, 35h per week Russell Taylor is working exclusively with a leading pharmaceutical manufacturer (CMO) who are continuing to grow; backed by significant investment, new leadership, and modernised … validation systems and processes, the company is expanding its validation team at this time. The Validation Specialist will play a key role in supporting site validation activities across a range of projects. This is a great opportunity for someone with GMP validation experience looking to build on their existing knowledge ...

cases by preparing structured and semi-structured data for retrieval, grounding, metadata enrichment and agent workflows. Implement data quality checks, validation rules, lineage, documentation and governance controls. Work with Microsoft Purview, Entra ID, RBAC and security best practice to ensure data is handled securely and appropriately. Help create reusable patterns ...

Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery ...

technology solutions. Facilitate workshops, design sessions and stakeholder meetings to define business needs and solution requirements. Coordinate User Acceptance Testing (UAT), system testing and validation activities to ensure successful project delivery. Conduct impact assessments for system changes, upgrades and new functionality. Support system integrations, data migration activities and application enhancements. ...

data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security & Quality Defining and enforcing: Data governance frameworks Master and reference data strategies Access control and role‐based security Ensuring compliance ...

MI. Data governance: Implement policies and controls for data quality, develop and maintain step-by-step documentation of key weekly and monthly processes, embed validation and exception reporting so errors are identified and resolved promptly. Stakeholder management: Build strong relationships across group, including Finance, Compliance, Operations, Insurer Relations and business ...

Provide business context to Product Managers, Product Owners, Engineers, and Data Scientists to support effective delivery Participate in business user testing and support the validation of delivered solutions Support the investigation and resolution of production incidents, data issues, and business queries Contribute to the ongoing development of data products, insight ...

database) b. Accessibility testing c. Compatibility testing d. Performance testing e. Security test techniques f. Data processing testing g. Data migration validation Expert in evaluating testing proposals from internal delivery teams and external suppliers and making recommendations to senior stakeholders. Expert in version control (Git), CI/CD build pipelines ...

ensure successful integration into existing data structures. Establish and maintain testing standards across functional, regression, integration, and user acceptance testing. Implement data quality frameworks, validation processes, and monitoring within data pipelines. Support the development and implementation of governance standards defined by the Data & Analytics Manager. Maintain high-quality documentation ...

significantly contribute to cross‐functional projects. Productionize LLMs: Build evaluation framework for open‐source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‐correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook ...

continue to develop increasingly complex integrated systems, we are seeking a Software Validation Engineer to help ensure the quality, reliability, and performance of our products. In this role, you will be responsible for designing, building, and executing comprehensive validation strategies covering both manual and automated testing. You will work across … with software developers, systems engineers, project managers, and wider stakeholders, you will contribute throughout the full product lifecyclefrom early design through to final system validation and releaseplaying a key role in ensuring product readiness and operational confidence. Dimensions of the Role Travel Required: Yes Offshore Training Required: No Medical Requirements ...

Excel skills. Experience working with large and complex datasets. Knowledge of data modelling, data cleansing, and data enrichment techniques. Understanding of data quality assurance, validation, and governance principles. Experience managing multiple priorities and delivering projects to deadlines. Strong stakeholder management, communication, and organisational skills. Previous experience mentoring, coaching, or leading ...

insights Improve data quality and consistency across systems Build automated reporting, dashboards and data pipelines Turn recurring analysis into reusable components and templates Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure ...

applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience ...

multiple projects and deliver under time pressure Experience communicating insights to both technical and non-technical audiences Knowledge of data modelling, data quality, and validation approaches Confidence mentoring or supporting junior team members Exposure to dashboarding tools or other programming languages is beneficial What They Offer Salary ...

Experience applying statistical, machine learning or AI techniques to real-world problems • Experience working with structured datasets and analytical reporting solutions • Understanding of model validation, testing and performance monitoring • Strong analytical and problem-solving capabilities • Ability to communicate technical concepts to non-technical stakeholders • Degree in Data Science, Mathematics, Statistics ...

near real-time monitoring SLAs Build and maintain streaming pipelines using Structured Streaming and Delta Live Tables Ensure strong data governance , including schema enforcement, validation rules and ACID compliance Orchestrate and automate pipelines using Databricks Jobs, APIs or cloud-native schedulers Collaborate with data scientists, analysts and environmental specialists ...

secure AI development standards. Exposure to integrating AI tooling into CI/CD pipelines and software delivery processes. Understanding of prompt engineering, code validation, and AI risk management. Experience working within highly regulated or security-conscious environments. Qualifications Degree in Computer Science, Software Engineering, Computer Systems, Electronic Engineering ...

first-class part of your workflow rather than a novelty. Responsibilities Author, run, and maintain test plans across all phases of client deployments — schema validation, referential integrity, row volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes ...

analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

analysis, scenario studies, and clear articulation of trade-offs. Lead development of ML/AI solutions end-to-end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

Road Mapping: Facilitate and oversee the planning and maintaining of the Global Engineering team’s three year plan, updated annually. Quality Assurance: Implement validation and review procedures ensuring data accuracy and report quality before executive presentation. Meeting & Project Management: Facilitate leadership meetings with productive agendas; track action items with systematic ...

activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration ...

implementation and delivery. Ensure solutions follow best practice around governance, security, scalability, and maintainability. Provide technical guidance and support throughout project delivery. Support testing, validation, handover, and customer adoption activities where required. Innovation, Governance & Continuous Improvement (20%) Stay current with Microsoft roadmap developments, particularly around Power Platform, Fabric ...

standards Experience Required Strong experience with Python (or similar) Advanced Excel skills Experience in data modelling, cleansing and enrichment Understanding of data quality and validation Proven experience working on complex data or analytics projects Experience handling large datasets Strong organisational skills and attention to detail Ability to manage multiple workstreams ...