1 to 25 of 539 Remote Validation Jobs in the UK

reports, integrations, and extensions using IFS tools and related technologies. Collaborate with functional teams to translate business requirements into technical solutions . Perform data analysis, data migration, and data validation tasks as part of project or support activities. Monitor and troubleshoot technical issues, ensuring timely resolution or escalation. Support testing, upgrades, and deployment activities within the IFS environment. Maintain accurate More ❯

# Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced More ❯

Job Title: Vehicle Camera & Tracking Systems Fitter Location: Tunbridge Wells - Hybrid We are looking for a Vehicle Camera & Tracking Systems Fitter to join our development team in the validation and testing of the in-vehicle camera devices with our IoT platform. Reporting to the Head of QA, you'll focus on user acceptance testing of both the hardware and its More ❯

in a fast-paced environment Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering More ❯

in a fast-paced environment Create and maintain dashboards, visualizations, and reports using Power BI to enable data-driven decision-making Ensure data quality and accuracy by implementing data validation, monitoring, and error-handling processes. Requirements At least 8 years' experience in data analytics, data engineering, software engineering, or a similar role Expertise in developing best practices for data engineering More ❯

pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote More ❯

pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote More ❯

pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote More ❯

pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote More ❯

pricing model deployment, empowering smarter and faster decision-making. Key Responsibilities Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote More ❯

equivalent such as Cypress) and related tooling such as Postman Strong testing dataset generation capability and experience of using both SQL and NoSQL databases for test data setup and validation Good knowledge of security and performance testing with related experience in Software-as-a-Service (SaaS) and multi-tenancy environments, including penetration and loading test approaches Good working knowledge of More ❯

and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives More ❯

improvement. Contribute to process refinement, ensuring scalable and efficient data testing practices. Person Specification: Strong understanding of data engineering concepts, data models and ETL workflows. Experience creating automated data validation scripts or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing frameworks or tools such as PyTest More ❯

Optimise data systems for performance, reliability, and scalability. Collaborate with the Data Architect to shape and deliver the data architecture roadmap. Maintain strong governance and ensure data quality through validation and monitoring. Stay current with emerging tools and technologies to recommend improvements. Work within an Agile environment using Azure DevOps for CI/CD, version control, and sprint delivery. What More ❯

for data processing, pricing, and simulation. Translate complex mathematical models into robust, efficient, and maintainable code. Ensure system reliability, scalability, and low latency across all components. Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge More ❯

Data Warehouse) - understanding of data warehousing concepts and testing strategies Proficiency in advanced SQL and DocumentDB (Cosmos DB) queries - capable of writing, optimising, and troubleshooting complex queries for data validation Excellent communication skills - able to collaborate effectively with cross-functional teams and stakeholders Strong coordination abilities - managing testing activities across teams, timelines, and deliverables A proven track record of successful More ❯

Data Warehouse) - understanding of data warehousing concepts and testing strategies Proficiency in advanced SQL and DocumentDB (Cosmos DB) queries - capable of writing, optimising, and troubleshooting complex queries for data validation Excellent communication skills - able to collaborate effectively with cross-functional teams and stakeholders Strong coordination abilities - managing testing activities across teams, timelines, and deliverables A proven track record of successful More ❯

or satellite communications environments. Satellite Communications: Familiarity with satellite network architecture, protocols, and operational constraints. Systems Engineering: Understanding of systems engineering principles, including requirements decomposition, interface definition, verification and validation, and lifecycle traceability. Scrum Master Certification (e.g., CSM, PSM) with proven experience in delivering software projects in demanding environments, ideally including one or more of the following: SAFe, Disciplined Agile More ❯

or satellite communications environments. Satellite Communications: Familiarity with satellite network architecture, protocols, and operational constraints. Systems Engineering: Understanding of systems engineering principles, including requirements decomposition, interface definition, verification and validation, and lifecycle traceability. Scrum Master Certification (e.g., CSM, PSM) with proven experience in delivering software projects in demanding environments, ideally including one or more of the following: SAFe, Disciplined Agile More ❯

or satellite communications environments. Satellite Communications: Familiarity with satellite network architecture, protocols, and operational constraints. Systems Engineering: Understanding of systems engineering principles, including requirements decomposition, interface definition, verification and validation, and lifecycle traceability. Scrum Master Certification (e.g., CSM, PSM) with proven experience in delivering software projects in demanding environments, ideally including one or more of the following: SAFe, Disciplined Agile More ❯

or satellite communications environments. Satellite Communications: Familiarity with satellite network architecture, protocols, and operational constraints. Systems Engineering: Understanding of systems engineering principles, including requirements decomposition, interface definition, verification and validation, and lifecycle traceability. Scrum Master Certification (e.g., CSM, PSM) with proven experience in delivering software projects in demanding environments, ideally including one or more of the following: SAFe, Disciplined Agile More ❯

or satellite communications environments. Satellite Communications: Familiarity with satellite network architecture, protocols, and operational constraints. Systems Engineering: Understanding of systems engineering principles, including requirements decomposition, interface definition, verification and validation, and lifecycle traceability. Scrum Master Certification (e.g., CSM, PSM) with proven experience in delivering software projects in demanding environments, ideally including one or more of the following: SAFe, Disciplined Agile More ❯

APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and More ❯

with board bring-up, hardware bring-up, debugging on lab benches Work closely with software/firmware teams to co-design hardware/software interfaces Provide support for integration, validation, and performance characterisation Contribute to architecture trade studies, partitioning, and technology evaluation Document design decisions, reviews, and maintain version control & release flows You will likely be involved across the full More ❯

alignment with HSBC's change management standards. Drive issue resolution and support Fix & Remediation initiatives as part of ongoing compliance assurance. Support UAT planning and execution, including test case validation and defect triage. Promote best practice in documentation, governance, and project delivery; contribute to continuous improvement within the programme. Build and maintain strong working relationships with stakeholders across Business, Technology More ❯