126 to 150 of 173 Automated Testing Jobs in the South West

Doing Owning product quality end-to-end across web and backend systems Own the full bug lifecycle in Jira. Designing and maintaining automated test suites (API + UI) Working closely with engineers to catch issues early Testing AI-driven features and complex workflows Improving QA processes ...

supporting the Senior Software Engineer, where your experience with electronics will also be called upon. The majority of the role will involve supporting Automated Test Environments for electronic products, here you will be creating/maintaining test scripts, fault-finding and helping to commission new test fixtures. The rest … protocols for wireless and CAN and UART interfaces. The role will include Engineering Development of Software and associated technical documentation. Production support, including ATE (Automated Test Equipment) scripts Technical Support for standard products for both internal and external requirements. Application support. Change control. Support for Sales with quotes ...

incidents to ensure the integrity of the network Support the setup and maintenance of smart office technologies (e.g., connected meeting rooms, digital signage, or automated systems) Contribute to testing and troubleshooting smart devices or AI-powered applications used within the company CANDIDATE REQUIREMENTS IT confident Strong team work ...

whole new next generation of CRM capability for the business. Looking to level up the sophistication of CRM journeys and automation. Which will include testing AI capabilities too within Salesforce. With all this comes the need for testing both through logic specs, considering what should appear … having a solid understanding in how to create and implement effective test and learn strategies will be important. What youll be involved in Creating, testing and improving digital customer journeys across the Salesforce Marketing Cloud ecosystem Working with BA and tech teams to align workflows, architecture and product requirements ...

whole new next generation of CRM capability for the business. Looking to level up the sophistication of CRM journeys and automation. Which will include testing AI capabilities too within Salesforce. With all this comes the need for testing both through logic specs, considering what should appear … having a solid understanding in how to create and implement effective test and learn strategies will be important. What youll be involved in Creating, testing and improving digital customer journeys across the Salesforce Marketing Cloud ecosystem Working with BA and tech teams to align workflows, architecture and product requirements ...

Wireperson/Assembly Technician looking to progress further into Test Engineering. You will play a key role in the build, commissioning, and support of automated and manual test equipment used both internally and by external customers and service providers. Role Overview: The Hardware Test Development Engineer will work closely … solving. Key Responsibilities: Work collaboratively with Test Development Engineers to select and design hardware solutions that meet test requirements Build, test, commission, and maintain automated and manual test equipment Source suitable components, materials, and equipment Translate product specifications into power distribution layouts, safety circuits, and protective enclosures Carry ...

integrity and readiness of next-generation technology. I am seeking an experienced Software Test Engineer who has a proven background of full lifecycle testing of embedded systems with strong appreciation for the hardware. ***** Salary to £50k plus benefits, hybrid/flexible working ******** The successful Engineer will have full lifecycle … test expertise with formal software testing skills including the development and automation of test cases. Any LabView experience would be useful. You should also be familiar with a variety of Lab test equipment Working closely with other engineers you will be organised, a strong communicator, focussed on quality with ...

next-generation technology. I am seeking a well educated and experienced Software/Hardware Verification Engineer who has a proven background of full lifecycle testing of embedded systems on complex electronics systems and who can demonstrate the following technical expertise: • Verification and Validation strategy development • Formal software testing ...

areas such as cloud architecture, containerization (e.g., Docker, Kubernetes), infrastructure-as-code (e.g., Terraform, Ansible), and system performance optimization to support seamless integration and testing processes. Key Responsibilities: Design, build, deploy and manage a broad set of IT Infrastructure aligning to customer needs and requirements, while leveraging infrastructure engineering … Experience of Logging and monitoring using Zabbix and Splunk. Experience of Cloud and AWS concepts and technologies. Desired Skills: Ability to support maturation of automated CI/CD software pipelines for Cloud deployments. Understanding of IaC and using this to deploy and integrate services on Cloud. Hands on experience ...

areas such as cloud architecture, containerization (e.g., Docker, Kubernetes), infrastructure-as-code (e.g., Terraform, Ansible), and system performance optimization to support seamless integration and testing processes. Key Responsibilities: Design, build, deploy and manage a broad set of IT Infrastructure aligning to customer needs and requirements, while leveraging infrastructure engineering … Experience of Logging and monitoring using Zabbix and Splunk. Experience of Cloud and AWS concepts and technologies. Desired Skills: Ability to support maturation of automated CI/CD software pipelines for Cloud deployments. Understanding of IaC and using this to deploy and integrate services on Cloud. Hands on experience ...

escalating to vendors where necessary. Use basic scripting (PowerShell, JavaScript, JSON, or SQL) to extend platform functionality. Identify opportunities to replace manual tasks with automated workflows. Contribute to impact assessments, solution design, and testing phases (UAT/defect triage). Act as a technical liaison between internal business ...

escalating to vendors where necessary. Use basic scripting (PowerShell, JavaScript, JSON, or SQL) to extend platform functionality. Identify opportunities to replace manual tasks with automated workflows. Contribute to impact assessments, solution design, and testing phases (UAT/defect triage). Act as a technical liaison between internal business ...

escalating to vendors where necessary. Use basic scripting (PowerShell, JavaScript, JSON, or SQL) to extend platform functionality. Identify opportunities to replace manual tasks with automated workflows. Contribute to impact assessments, solution design, and testing phases (UAT/defect triage). Act as a technical liaison between internal business ...

existing, proven knowledge of the following: The systems development lifecycle, from design through to test The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools Essential/Desirable skills The candidate should also be able to demonstrate: A team working culture Innovation and problem-solving skills … customer and user representatives to discuss systems technical issues. Awareness of Risk Management Additional Information The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools The design and implementation of database tables Implementation of database packages using the Structured Query Language (SQL) Database design and modelling ...

existing, proven knowledge of the following: - The systems development lifecycle, from design through to test - The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools Essential/Desirable skills The candidate should also be able to demonstrate: - A team working culture - Innovation and problem-solving skills … customer and user representatives to discuss systems technical issues. - Awareness of Risk Management Additional Information - The development processes (e.g. requirements, design, specification, implementation, acceptance testing), and development tools - The design and implementation of database tables - Implementation of database packages using the Structured Query Language (SQL) - Database design and modelling ...

Change Management Own escalated incidents, performing root cause analysis and implementing preventative fixes Document resolutions and contribute to a shared knowledge base Support regression testing, deployment validation, and environment refreshes Participate in change control to ensure controlled, well-documented releases Continuous Improvement & Collaboration Partner with business stakeholders to identify … Management Write and optimise SQL queries to investigate data discrepancies and performance issues Perform data reconciliation and correction between integrated systems Support the design, testing, and maintenance of data integration pipelines (APIs, middleware, ETL tools) Monitor automated data syncs, stored procedures, and scheduled jobs, ensuring reliable execution ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury … teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model ...