1 to 25 of 140 Remote Validation Jobs in the South East

Warfare We are particularly interested in speaking to you if you have experience in any of the following areas; Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most More ❯

aircraft. You will contribute to requirements definition, and use MATLAB/Simulink tools to generate software such as novel flight control laws and data manipulation algorithms. After verification and validation performed using bespoke simulations, you will then be expected deploy the software on to the target hardware and conduct real world flight testing at our test facility less than 1km More ❯

development practices. Deploy and manage AI solutions via CI/CD pipelines in Azure DevOps, emphasising automation, version control, and continuous integration. Develop and maintain automated frameworks for testing, validation, and monitoring of AI model accuracy, performance, and reliability. Establish best practices for AI data pipeline development and integration with infrastructure to support scalable deployment. Collaborate closely with Data Scientists More ❯

drivers, protocols, human-machine interfaces and associated supporting certification documentation Requirements analysis and definition, System/Software Architecture/Design, Modelling and Simulation, Systems/Software Integration, Verification and Validation, Safety Critical Development techniques Peer review and technically guide the work of others, produce size/re-use estimates, reliably estimate your own work Liaise with customers on technical issues More ❯

drivers, protocols, human-machine interfaces and associated supporting certification documentation Requirements analysis and definition, System/Software Architecture/Design, Modelling and Simulation, Systems/Software Integration, Verification and Validation, Safety Critical Development techniques Peer review and technically guide the work of others, produce size/re-use estimates, reliably estimate your own work Liaise with customers on technical issues More ❯

drivers, protocols, human-machine interfaces and associated supporting certification documentation Requirements analysis and definition, System/Software Architecture/Design, Modelling and Simulation, Systems/Software Integration, Verification and Validation, Safety Critical Development techniques Peer review and technically guide the work of others, produce size/re-use estimates, reliably estimate your own work Liaise with customers on technical issues More ❯

workshops. Develop and maintain system architecture and design in alignment with user and stakeholder needs. Lead engineering governance activities, including Critical Design Reviews (CDRs). Collaborate with verification and validation teams to support defect triage and resolution. Monitor regulatory standards, ensuring compliance with IEC 60601, ISO 14971, and other relevant frameworks. Conduct risk management activities, including FMEA, hazard analysis, and More ❯

responsibilities will include: Leading the development of IFRS 9 PD and LGD models for the mortgage's portfolio. Managing and mentoring a team of two analysts. Supporting model monitoring, validation, and performance analysis. Contributing to stress testing and wider regulatory risk modelling as required. Collaborating with senior stakeholders to define modelling priorities and communicate insights effectively. Presenting technical recommendations in More ❯

and analytics (e.g., reserves analysis, forecast simulations). Create and manage relational and dimensional data models for reporting. Ensure data quality and consistency across finance and actuarial models; implement validation controls and reconciliation processes. Support regulatory and statutory reporting (e.g., Solvency II, IFRS 17, GAAP), ensuring timely and accurate delivery. Build reporting tools and dashboards (using Python, Power BI, etc. More ❯

development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate More ❯

development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit performance data to generate More ❯

machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical More ❯

machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical More ❯

machine learning and NLP models to process and analyse large volumes of legal and business text. Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical More ❯

Microsoft Dynamics 365 CRM Collaborate with internal teams and overseas offices to align data and processes Maintain accurate business data, templates, and system records Perform deep-dive analyses, data validation, cleansing, and quality assurance What we need from you: Proficiency in: Power BI (data connection, dashboards, DAX calculations) Excel (advanced functions and formulas) Microsoft Dynamics 365 CRM SQL for data More ❯

Microsoft Dynamics 365 CRM Collaborate with internal teams and overseas offices to align data and processes Maintain accurate business data, templates, and system records Perform deep-dive analyses, data validation, cleansing, and quality assurance What we need from you: Proficiency in: Power BI (data connection, dashboards, DAX calculations) Excel (advanced functions and formulas) Microsoft Dynamics 365 CRM SQL for data More ❯

Microsoft Dynamics 365 CRM Collaborate with internal teams and overseas offices to align data and processes Maintain accurate business data, templates, and system records Perform deep-dive analyses, data validation, cleansing, and quality assurance What we need from you: Proficiency in: Power BI (data connection, dashboards, DAX calculations) Excel (advanced functions and formulas) Microsoft Dynamics 365 CRM SQL for data More ❯

frameworks to identify, explain, and visualise user trends and profile patterns. Use Python and SQL to automate analysis, build tools, and process complex datasets. Support research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics - including modelling, probability, and advanced More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

and architectural design to ensure system integration, covering sub-systems and specialist domains for subcontractor design, development, and qualification Provide specialist knowledge and subject matter expertise in the integration, validation and verification of systems What experience you need to be the successful Network Systems Engineer: Essential: Extensive experience in network or software engineering, ideally with a background in operations Ability More ❯

and architectural design to ensure system integration, covering sub-systems and specialist domains for subcontractor design, development, and qualification Provide specialist knowledge and subject matter expertise in the integration, validation and verification of systems What experience you need to be the successful Network Systems Engineer: Essential: Extensive experience in network or software engineering, ideally with a background in operations Ability More ❯

and architectural design to ensure system integration, covering sub-systems and specialist domains for subcontractor design, development, and qualification Provide specialist knowledge and subject matter expertise in the integration, validation and verification of systems What experience you need to be the successful Network Systems Engineer: Essential: Extensive experience in network or software engineering, ideally with a background in operations Ability More ❯

and architectural design to ensure system integration, covering sub-systems and specialist domains for subcontractor design, development, and qualification Provide specialist knowledge and subject matter expertise in the integration, validation and verification of systems What experience you need to be the successful Network Systems Engineer: Essential: Extensive experience in network or software engineering, ideally with a background in operations Ability More ❯