401 to 425 of 1,275 Validation Jobs in England

make a real impact in a fast-moving environment. What You'll Be Doing Delivering end-to-end data migration across legacy and modern platforms Conducting data analysis and validation to ensure accuracy, consistency, and completeness Collaborating with internal teams to map, cleanse, and transform data Supporting testing and reconciliation phases to ensure smooth cutover Documenting processes and contributing to More ❯

. Collaborate with IT, supply chain, and commercial teams to identify root causes and implement solutions. Track and escalate issues, ensuring timely and effective resolution. Support the testing and validation of system fixes before deployment. Maintain reconciliation and data integrity processes across platforms. Query and analyse stock data using SQL. Document all resolutions, process changes, and system updates. Contribute to More ❯

leadership Align data product roadmap with business goals Translate business needs into actionable data requirements Collaborate with data and business teams to deliver solutions Support data collection, analysis, and validation Requirements Experience with project management and go-to-market strategy Strong PowerPoint and stakeholder communication skills Familiarity with documentation tools like Confluence Understanding of B2C concepts such as ROI and More ❯

to understand workflows and identify areas for improvement. Partner with development, QA, and vendor teams to deliver robust, user-focused system implementations. Support data migration activities including planning, mapping, validation, and execution. Work closely with third-party application vendors to manage integrations and documentation. Assist in UAT planning, execution, and issue resolution. Provide domain expertise in pharmacy inventory management, prescription More ❯

smooth transition, validating migrations and supporting removal of legacy products post-migration. What You'll Do: Support system automation and output management during migration from Broadcom tools. Conduct UAT, validation and testing for migrated environments. Assist in decommissioning and removal of legacy software. Collaborate with internal stakeholders to ensure delivery milestones are met. Work flexibly, including occasional Sunday evening support More ❯

the organisation. ROLE AND RESPONSIBILITIES Manage and enhance data infrastructure to ensure reliability, consistency, and scalability. Support deployment of data models in Databricks and PySpark . Work with data validation, ETL processes, and cross-functional datasets. Lead internal development requirements, supporting analysts and data teams. Mentor and oversee junior team members (graduate/apprentice) - but this role is more technical More ❯

reporting, and operational requirements. Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data is accessible, high-quality, and fit for purpose. Implement data quality and validation routines , including monitoring, alerting, and automated checks. Optimise data workflows for performance, cost-efficiency, and maintainability , using platforms such as Azure Data Factory, AWS Data Pipeline, Glue, Lambda, Databricks, and More ❯

master data records (customers, products, pricing, packaging etc.) Ensure accuracy, consistency, and completeness of data across all systems (ERP, finance, and supply chain) Conduct regular data audits, cleansing, and validation to maintain high data quality Support system upgrades, migrations, and projects involving master data Monitor and report on data quality metrics, identifying and resolving issues Provide support and guidance to More ❯

FPGA design and development A proven track record in leading teams or managing significant technical programmes A strong knowledge of the full hardware development lifecycle from concept through to validation and test Excellent leadership, communication and problem-solving skills A solid understanding of FPGA design methodologies and workflows The Package Salary up to £85,000 depending on experience Hybrid working More ❯

requirements, ensuring clarity and alignment with project goals. Tools and Methodologies: Use requirements management tools and methodologies to organise, track, and maintain traceability throughout the project lifecycle. Analysis and Validation: Ensure system requirements are complete, feasible, and meet high-quality standards. Design Reviews: Provide insights into the impact of requirements on system architecture and functionality during design reviews. Stakeholder Engagement More ❯

proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression More ❯

implementation of the HRIS, including planning, configuration, testing, training, and go-live. Collaborate with HR, IT, and external vendors to ensure system requirements are met. Assist in data migration, validation, and cleansing activities. Develop and maintain project documentation including plans, risk logs, and progress reports. Coordinate user acceptance testing (UAT) and support training delivery. Monitor project milestones and escalate issues More ❯

skills include Docker, Kubernetes, CI/CD, Android & Azure DevOps Role Overview: Design & architecture of applications and design/development of user-facing applications Building reusable code libraries Testing, validation and optimisation Cross application functionality Documenting Problem solving and investigation Peer code reviews Requirements gathering (ad-hoc) Learning and upskilling into new technology You’ll be joining an established Employee More ❯

skills include Docker, Kubernetes, CI/CD, Android & Azure DevOps Role Overview: Design & architecture of applications and design/development of user-facing applications Building reusable code libraries Testing, validation and optimisation Cross application functionality Documenting Problem solving and investigation Peer code reviews Requirements gathering (ad-hoc) Learning and upskilling into new technology You’ll be joining an established Employee More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯

proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker More ❯

proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker More ❯

development: Responsibilities include but are not limited to: Serve as Responsible System Engineer, review and report on multiple systems performance and trending data Oversee and lead reviews, updates and validation of standard operating procedures, and training material for multiple generations of systems Develop, maintain, and utilize necessary trending and monitoring tools/scripts in perl, python, Grafana, etc. Successfully complete More ❯

to act as the key technical interface for Hybrid, Renewable, and Energy Storage Solutions across the EMEA region. The role combines presales system design, technical proposal support, and solution validation to optimise energy performance and support grid-interactive and energy-as-a-service opportunities. Key Responsibilities Design and size hybrid power systems combining multiple inputs and energy storage. Prepare technical More ❯

internal teams and Curve's support to map, cleanse, and migrate data from legacy systems. Automate data feeds and reporting processes to improve accuracy and efficiency. Conduct testing and validation of data outputs, calculations, and reporting workflows. Troubleshoot and resolve data or process issues during rollout. Create and maintain documentation for new processes and reporting procedures. Collaborate with finance, royalties More ❯

tools like Selenium or Playwright Experience working within Agile/Kanban teams and a strong understanding of shift-left testing principles Strong knowledge of API testing and backend system validation Familiarity with performance and security testing tools and best practices Comfortable using Git and modern version control workflows Excellent communication and collaboration skills Spectrum IT Recruitment (South) Limited is acting More ❯