76 to 100 of 1,557 Validation Jobs in the UK

Software Development Lifecycle (SDLC) , from discovery and design through to testing and delivery. Facilitate Agile ceremonies such as sprint planning, backlog refinement, and daily stand-ups. Participate in testing, validation, and acceptance activities to ensure solutions meet functional and non-functional requirements. About You: Proven experience as a Technical Business Analyst , with strong exposure to solution design or systems architecture 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 ❯

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 ❯

Software Development Lifecycle (SDLC) , from discovery and design through to testing and delivery. Facilitate Agile ceremonies such as sprint planning, backlog refinement, and daily stand-ups. Participate in testing, validation, and acceptance activities to ensure solutions meet functional and non-functional requirements. About You: Proven experience as a Technical Business Analyst , with strong exposure to solution design or systems architecture 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 ❯

analyzers, and other debugging tools to test embedded systems. Collaboration & Documentation Work closely with hardware engineers to ensure seamless software–hardware integration. Maintain detailed documentation for development, testing, and validation processes. Skills & Experience Strong programming skills in C, C++, and Python (Shell/Bash scripting a plus). Proven experience with ARM Cortex, ESP32, or STM32 microcontroller platforms. Knowledge of More ❯

analyzers, and other debugging tools to test embedded systems. Collaboration & Documentation Work closely with hardware engineers to ensure seamless software–hardware integration. Maintain detailed documentation for development, testing, and validation processes. Skills & Experience Strong programming skills in C, C++, and Python (Shell/Bash scripting a plus). Proven experience with ARM Cortex, ESP32, or STM32 microcontroller platforms. Knowledge of 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 ❯

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 ❯

services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data More ❯

services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data More ❯

services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data 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 ❯

and large datasets). Contribute to product development through applied research and quantitative analysis. Perform statistical and coding-based analysis (Python, R, SQL). Support calibration model training and validation for sensor systems. Collaborate across disciplines to develop and deploy new sensing and data technologies. Document research findings and present results to technical and non-technical audiences. About You You More ❯

and large datasets). Contribute to product development through applied research and quantitative analysis. Perform statistical and coding-based analysis (Python, R, SQL). Support calibration model training and validation for sensor systems. Collaborate across disciplines to develop and deploy new sensing and data technologies. Document research findings and present results to technical and non-technical audiences. About You You More ❯

document security risks and dependencies, leveraging existing mitigations and controls. Facilitate clear and continuous communication between business, IT, and delivery teams throughout the project lifecycle. Contribute to test planning, validation, and traceability to ensure solution quality and readiness. Maintain and update documentation such as Standard Operating Procedures (SOPs), user guides, and training materials. Ensure operational readiness of the delivered solution 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 ❯

needs of the global landscape. Skills & Experience Required • Experience in D365 Microsoft Dynamics 365 - Sales, Service, Field Service, Marketing Experience • Experience in Development/Configuration/solutions evaluation/Validation and deployment • Hands on experience writing plugins, workflows, JavaScript’s, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM’s interoperability More ❯

needs of the global landscape. Skills & Experience Required • Experience in D365 Microsoft Dynamics 365 - Sales, Service, Field Service, Marketing Experience • Experience in Development/Configuration/solutions evaluation/Validation and deployment • Hands on experience writing plugins, workflows, JavaScript’s, dialogs etc. • Excellent Analytical and Communication skills • NET, C#, JavaScript experience a plus/• Working knowledge of CRM’s interoperability More ❯

and insights Support the development and maintenance of Business Intelligence (BI) dashboards and automated reports using tools such as Tableau, Power BI, or similar platforms Perform data cleansing and validation tasks to ensure the accuracy and reliability of datasets Collaborate with team members and stakeholders to understand data requirements and contribute to meaningful reporting solutions Support with the streamline of More ❯

standards are met Documentation: Assist in documenting best practices and creating technical guidelines to ensure process standardization New Product Introduction (NPI) cooperation: Enable NPI activities, including design reviews, process validation, and cross-functional communication, to ensure successful product launches Required capabilities, and skills: Education: Bachelor’s degree (or higher) in Engineering, Mechanical Engineering, Electrical Engineering, or a related field Experience More ❯