51 to 75 of 1,176 Validation Jobs in England

of high-integrity electronic systems used in mission-critical applications. You will be involved in the full lifecycle of electronic design, from concept and prototyping through to production and validation, contributing to the development of advanced products used in national defence. Key Responsibilities Design and develop analogue and digital electronic circuits for high-performance systems. Create schematics and multilayer PCB More ❯

company management to identify high-impact use cases for AI tools. Oversee AI/ML model development, deployment, and monitoring, ensuring scalability and robustness. Conduct data analysis, experimentation, and validation to continuously improve AI systems and outcomes. Stay up-to-date on AI/ML trends and emerging technologies to guide innovation within the firm and portfolio. Mentor and collaborate More ❯

company management to identify high-impact use cases for AI tools. Oversee AI/ML model development, deployment, and monitoring, ensuring scalability and robustness. Conduct data analysis, experimentation, and validation to continuously improve AI systems and outcomes. Stay up-to-date on AI/ML trends and emerging technologies to guide innovation within the firm and portfolio. Mentor and collaborate More ❯

. Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground up. A collaborative, forward-thinking 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 ❯

. Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground up. A collaborative, forward-thinking 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 ❯

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 ❯

interpret complex energy data to identify trends, inefficiencies, and opportunities. Create clear, insightful dashboards and reports using Power BI or Tableau. Ensure accuracy and completeness of data through cleaning, validation, and transformation. Collaborate with internal teams and clients to define requirements and deliver tailored analytical solutions. Provide data-driven recommendations that support operational, financial, and sustainability goals. Continuously improve data More ❯

interpret complex energy data to identify trends, inefficiencies, and opportunities. *Create clear, insightful dashboards and reports using Power BI or Tableau. *Ensure accuracy and completeness of data through cleaning, validation, and transformation. *Collaborate with internal teams and clients to define requirements and deliver tailored analytical solutions. *Provide data-driven recommendations that support operational, financial, and sustainability goals. *Continuously improve data More ❯

data availability. This is a hand-on and fast paced role that requires pragmaticism and problem solving skills. Key Responsibilities: Downloading and adding data into a global database Data validation and correction using in-house applications, Python, Excel and SQL Server Management Studio Investigation of new patent data sources Dealing with helpdesk support queries Working with the development team regarding More ❯

data availability. This is a hand-on and fast paced role that requires pragmaticism and problem solving skills. Key Responsibilities: Downloading and adding data into a global database Data validation and correction using in-house applications, Python, Excel and SQL Server Management Studio Investigation of new patent data sources Dealing with helpdesk support queries Working with the development team regarding 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks More ❯

modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks More ❯

large-scale data migrations , or regulatory data initiatives Familiarity with semantic modelling, ontologies, or graph data concepts (RDF, OWL, TTL) Exposure to Python or SQL for model design and validation Background in financial services, energy, or large-scale enterprise transformation Why Join? Deliver high-impact data and technology solutions for leading organisations Work in a collaborative, flat, and entrepreneurial consulting More ❯