1 to 25 of 487 Remote Validation Jobs in the UK

the NHS and Tesco so discretion and the careful management of decisions is a key requirement of this role. The Software Developer will be involved in the development and validation of products, systems and components in the CI/CD cycle of the replatforming of the core product, as well as working on other new components and projects to drive More ❯

consistent, supporting reliable reporting and analysis. Monitor, identify, and resolve data quality issues in collaboration with colleagues and Data Stewards and Owners for individual systems. Implement and refine data validation processes that safeguard integrity throughout the data lifecycle. Contribute to the development of organisation-wide data quality frameworks, standards, and best practices. Maintain compliance with internal governance processes as well More ❯

flight control components. These systems span hydromechanical, electrical, software, and power distribution domainssupporting both internal operations and global customer facilities. Youll collaborate with multidisciplinary teams, contribute to Verification and Validation activities, and provide hands-on support from concept through deployment. This is a role for engineers who thrive on complexity, precision, and innovation. The role is hybrid, with onsite presence More ❯

DevSecOps. Managing System Feature and Enabler Task requirement baselines (into Maritime, Land or Air SEIT). Planning, managing, and coordinating Maritime, Land or Air Feature/Unit Verification and Validation Testing. Supporting SEIT Maritime, Land or Air CofD generation with System feature functional and non-functional definition. Supporting IT product strategy, concepts, and capabilities. Supporting business case and product plans. More ❯

ultimately, produce high quality results. Qualifications Skills & Experience Solid academic foundation, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written and verbal communication skills Detail-oriented technical aptitude with strong logical, problem solving and decision-making skills. About Us For over 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 ❯

move into product, with strong communication skills and ability to translate complex analytics into clear specifications. Nice to have Experience with a risk or pricing system, ideally including data validation or construction of Pricing Curves. Familiarity with risk reporting, market data, and risk methodologies. Hands-on UAT/test design and defect management (e.g., Jira/Confluence). Degree in More ❯

driving root-cause and fixes. Tools: Jira or Azure DevOps (Boards/Test Plans), Confluence, Postman/SoapUI, Git-based repos for test assets. Data & SQL: Competent SQL for validation/reconciliation; comfort with CSV extracts, views and basic ETL results checking. Mobile & web: Cross-browser/device testing; accessibility and usability awareness. Reporting: Clear, concise test progress/quality More ❯

driving root-cause and fixes. Tools: Jira or Azure DevOps (Boards/Test Plans), Confluence, Postman/SoapUI, Git-based repos for test assets. Data & SQL: Competent SQL for validation/reconciliation; comfort with CSV extracts, views and basic ETL results checking. Mobile & web: Cross-browser/device testing; accessibility and usability awareness. Reporting: Clear, concise test progress/quality More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components. 3. Leadership & Collaboration: * Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best More ❯

and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy More ❯

Apply systems thinking to identify and mitigate technical risks, dependencies, and system interfaces . Analyse and interpret User Requirements Documents (URDs) , create and manage baselines . Define and execute validation and verification strategies for complex hardware/software systems. Collaborate within project teams to produce high-quality artefacts , from concepts to test readiness. Qualifications Skills & Experience Required: 8+ years in More ❯

development techniques Conduct proving activities to ensure compliance against requirements This role will cover the Product Life Cycle from concept through to transfer to Production, including support to industrial validation and ensuring that the product meets its quality, rate and cost targets. This role offers the opportunity to work on sophisticated and technologically advanced projects, allowing you to improve your More ❯

and solutions. As a Senior QA Engineer in Video Telematics, you will play a pivotal role in ensuring the integrity and performance of complex systems through rigorous verification and validation processes. You'll collaborate with cross-functional teams-including hardware, firmware, and systems engineers-to develop and execute test plans, identify issues, and ensure system requirements are met. Developing automation More ❯

a holistic approach. Thorough understanding of project lifecycles, cost/time trade-offs and risk management. Have experience in product delivery, development of products with COTS, GOTS, including integration, validation, performance, safety and security. Have several years of experience within software development, system administration, IT architecture and delivery. In addition, have hands-on experience with cloud computing, networking, and security. More ❯

user profiles, permission sets, roles, and sharing rules to ensure data integrity and security Configuration & Customization: Configure and customize standard and custom objects, fields, page layouts, record types, and validation rules Automation: Design and implement business process automation using declarative tools such as Flow, Process Builder, and Workflow Rules Data Management: Perform data import, export, and cleansing activities using tools More ❯

in high-impact capabilities. Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators-informing both product positioning and long-term AI strategy. Use Case Identification and Validation Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance More ❯

experience with PySpark, SQL, and Python Proven track record of building and maintaining data pipelines Ability to translate business requirements into robust data models and solutions Experience with data validation, quality checks, and documentation Excellent communication and stakeholder management skills Why Join? Work with a world-leading travel sector client on impactful, global-scale data challenges Contribute to shaping how More ❯

lifecycle. Conduct solution options analysis and present recommendations to stakeholders. Produce solution design documentation including High-Level and Low-Level Designs. Develop test strategies, plans, and scripts; lead verification, validation, and acceptance. Communicate complex technical concepts to both technical and non-technical audiences. Essential Skills & Experience: 7+ years' experience as a Solution Architect. Strong background in systems engineering, including requirements More ❯

lifecycle. Conduct solution options analysis and present recommendations to stakeholders. Produce solution design documentation including High-Level and Low-Level Designs. Develop test strategies, plans, and scripts; lead verification, validation, and acceptance. Communicate complex technical concepts to both technical and non-technical audiences. Essential Skills & Experience: 7+ years' experience as a Solution Architect. Strong background in systems engineering, including requirements More ❯