1 to 25 of 1,956 Validation Jobs in the UK

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 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 within ...

platform work. We are looking for a staff engineer with strong system software expertise, extensive system‐wide knowledge, and a deep passion for quality, validation, and testing. This person will develop the process for validating complex firmware and platform software across the full system. Validation covers early pre‐silicon environments … silicon bring‐up, platform integration, release readiness, and customer‐facing use cases. They will also help grow a validation culture that detects issues early, produces clear evidence, and supports confident delivery. Roles and Responsibilities Lead the end‐to‐end validation and product quality assurance strategy for embedded software, firmware ...

automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years ...

business process maps. Support enterprise cloud solution configuration and validation. Work with technical teams on integrations and interfaces. Assist with data migration, validation and reconciliation activities. Create functional specifications, user stories and project documentation. Support System Integration Testing (SIT) and User Acceptance Testing (UAT). Track, manage and help resolve ...

timely data availability (batch and near real‐time) to support both operational reporting and advanced analytics. Assure data quality and integrity through automated validation, monitoring, and issue management across the full data lifecycle. Own platform reliability, performance, and cost management, including capacity planning and optimisation of storage/compute. Establish ...

maintain CI/CD pipelines in Azure DevOps for automated deployment, versioning and operationalisation of AI services and components. You’ll develop automated testing, validation and monitoring frameworks to ensure AI model performance, reliability and ongoing optimisation. You’ll establish and promote best practices for AI data pipelines, MLOps/ ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud-based solutions, or AWS-enabled automation would be highly beneficial. Experience deploying ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud-based solutions, or AWS-enabled automation would be highly beneficial. Experience deploying ...

blockers early and escalate where necessary · Coordinate cross-team dependencies and resolve conflicts · Maintain RAID logs and mitigation strategies Quality Assurance · Ensure data quality, validation, and reconciliation processes are in place · Support testing strategies (unit, integration, UAT) · Ensure compliance with data standards and controls Key Skills & Experience Essential · Delivery ...

alerting use cases, integrating complex and diverse data sources across cloud and on-premise environments. Drive continuous compliance practices , embedding automated control validation, monitoring and evidencing into engineering workflows. Apply and promote modern engineering practices, including CI/CD, automation, testing and infrastructure and configuration as code to improve quality ...

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 ...

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 ...

contribute to documentation that improves data transparency and reuse. Support solution design, proofs of concept, pilots and business‐facing testing (including UAT and validation of model outputs), capturing feedback to refine solutions. Act as liaison between business units and technical teams, managing stakeholder expectations and communicating progress, risks and outcomes ...

alerting use cases, integrating complex and diverse data sources across cloud and on-premise environments. Drive continuous compliance practices, embedding automated control validation, monitoring and evidencing into engineering workflows. Apply and promote modern engineering practices, including CI/CD, automation, testing and infrastructure and configuration as code to improve quality ...

models for Power BI and enterprise reporting. Support migration of legacy data into Azure cloud services. Ensure data quality, integrity and governance through automated validation and monitoring. Optimise data processing performance and troubleshoot production data pipelines. Collaborate with architecture and governance teams to implement security, metadata and data lineage. Contribute ...

data loads. Create data transformation and cleansing processes using PySpark and Spark DataFrames. Develop Python-based utilities and automation scripts to support migration and validation activities. Design and optimise data models, SQL queries, stored procedures and analytical views within Azure Synapse Analytics. Manage data ingestion, transformation and storage across Azure ...

completion. Excellent stakeholder management and communication skills, with experience working across multiple business functions. Strong attention to detail and a structured approach to data validation and quality assurance. Experience managing multiple priorities and delivering projects within agreed timelines. Advanced Microsoft Excel skills are essential. Experience using Power BI or similar ...

engineering principles. AI‐Native Mindset Uses AI tools and agentic workflows to improve productivity, quality and delivery outcomes. Applies sound engineering judgement, governance and validation when working with AI‐generated outputs. Comfortable using AI to accelerate software development while maintaining accountability and control. Converts complex business requirements into clear, testable ...

data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated propensity models to support customer ...

Concept demonstrations Facilitate requirements gathering, design, and gap analysis workshops Oversee functional configuration and provide technical input on integrations and data migration Conduct solution validation and user training Provide post go-live functional support and ongoing advisory services Ensure timely and quality project delivery while managing client expectations Qualifications About ...

decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code ...

quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations Build scalable, automated processes for delivering analytical results across multiple programs and data types ...

quality frameworks to assess and ensure fitness-for-purpose of diverse data sources for specific analytical questions* Implement strong model evaluation practices including cross-validation strategies, calibration assessment, and transparent reporting of model performance and limitations* Build scalable, automated processes for delivering analytical results across multiple programs and data types ...

Python or a similar programming language Data engineering or data integration experience Understanding of data modelling and ETL/ELT concepts Experience implementing data validation and testing processes Strong communication and stakeholder engagement skills Desirable Skills Azure Data Factory Databricks Synapse Analytics Microsoft Fabric Azure SQL Data Lake technologies Experience ...

data quality. Essential Skills & Experience - Proven experience testing large volumes of data within a data-focused environment. - Strong understanding of ETL processes and data validation techniques. - Experience with Azure Data Factory, including understanding pipelines, datasets, and data flows. - Knowledge of data modelling and dimensional modelling concepts. - Solid SQL skills, including ...