351 to 375 of 702 QA Jobs in London

applications. Deliverables: Technical review of existing data migration approach, framework and tools with specific actionable recommendations for improvements, considering desired timelines and team skills Technical review of data migration quality assurance strategy and approach, again with specific actionable recommendations for improvements Risk and Issue log for data migration delivery and run, reviewed and updated at least weekly through the remainder More ❯

clear communication and alignment throughout the project lifecycle. Technical Collaboration: Work closely with network engineers to translate technical requirements into actionable project plans and ensure successful implementation of solutions. Quality Assurance: Monitor and ensure all project deliverables meet technical specifications, industry standards, and client expectations. Continuous Improvement: Contribute to refining delivery processes, identifying lessons learned, and sharing insights to optimize More ❯

clear communication and alignment throughout the project lifecycle. Technical Collaboration: Work closely with network engineers to translate technical requirements into actionable project plans and ensure successful implementation of solutions. Quality Assurance: Monitor and ensure all project deliverables meet technical specifications, industry standards, and client expectations. Continuous Improvement: Contribute to refining delivery processes, identifying lessons learned, and sharing insights to optimize More ❯

clear communication and alignment throughout the project lifecycle. Technical Collaboration: Work closely with network engineers to translate technical requirements into actionable project plans and ensure successful implementation of solutions. Quality Assurance: Monitor and ensure all project deliverables meet technical specifications, industry standards, and client expectations. Continuous Improvement: Contribute to refining delivery processes, identifying lessons learned, and sharing insights to optimize More ❯

clear communication and alignment throughout the project lifecycle. Technical Collaboration: Work closely with network engineers to translate technical requirements into actionable project plans and ensure successful implementation of solutions. Quality Assurance: Monitor and ensure all project deliverables meet technical specifications, industry standards, and client expectations. Continuous Improvement: Contribute to refining delivery processes, identifying lessons learned, and sharing insights to optimize More ❯

scripts for infrastructure-as-code solutions. Perform functional, regression, and performance testing on vRA configurations. Identify and troubleshoot deployment issues across vCenter, vRA, and associated components. Collaborate with development, QA, and operations teams in Agile environments. Required Skills: Strong hands-on experience with VMware vSphere, ESXi, vCenter. Proven experience with vRealize Automation (vRA) (version 8.x preferred). Familiarity with vRealize More ❯

initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and presenting clear data “stories” to stakeholders More ❯

initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and presenting clear data “stories” to stakeholders More ❯

initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and presenting clear data “stories” to stakeholders More ❯

initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and presenting clear data “stories” to stakeholders More ❯

Visual Studio and .NET Framework development Solid experience with both SQL Server (T-SQL) and Oracle (PL/SQL) databases Knowledge of application life cycle management, including unit testing, QA, and deployment Experience troubleshooting and supporting production applications Understanding of Windows Server environments Desirable: Experience with Citrix configurations, disaster recovery environments, and working in multi-location teams (UK/US More ❯

years' experience using Adobe Campaign (Classic or Standard) Strong technical understanding of data workflows, audience segmentation, and campaign automation Background in subscription or membership-based CRM desirable Confident with QA, testing, and troubleshooting Excellent communicator who enjoys working closely with marketing and data teams Comfortable using Jira and working in Agile environments What's on Offer Salary up to More ❯

from onboarding through to renewal and reactivation. You’ll balance campaign execution with testing, analysis, and collaboration across internal teams. Day to day, you’ll: Take ownership of campaign QA and end-to-end testing, ensuring all logic and segmentation flow smoothly. Support automated journeys - onboarding, renewal, and win-back - to keep engagement high. Build and schedule lifecycle, promotional, and More ❯

from onboarding through to renewal and reactivation. You’ll balance campaign execution with testing, analysis, and collaboration across internal teams. Day to day, you’ll: Take ownership of campaign QA and end-to-end testing, ensuring all logic and segmentation flow smoothly. Support automated journeys - onboarding, renewal, and win-back - to keep engagement high. Build and schedule lifecycle, promotional, and More ❯

from onboarding through to renewal and reactivation. You'll balance campaign execution with testing, analysis, and collaboration across internal teams. Day to day, you'll: Take ownership of campaign QA and end-to-end testing, ensuring all logic and segmentation flow smoothly. Support automated journeys - onboarding, renewal, and win-back - to keep engagement high. Build and schedule lifecycle, promotional, and More ❯

from onboarding through to renewal and reactivation. You’ll balance campaign execution with testing, analysis, and collaboration across internal teams. Day to day, you’ll: Take ownership of campaign QA and end-to-end testing, ensuring all logic and segmentation flow smoothly. Support automated journeys - onboarding, renewal, and win-back - to keep engagement high. Build and schedule lifecycle, promotional, and More ❯

and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics and success criteria for AI adoption and report on performance outcomes. More ❯

and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics and success criteria for AI adoption and report on performance outcomes. More ❯

and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics and success criteria for AI adoption and report on performance outcomes. More ❯

and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases outside traditional development functions. Identify, prioritize, and drive productivity improvements across project management, QA, and documentation. Partner with senior global stakeholders (London and New York) to evangelize AI-driven transformation initiatives. Establish metrics and success criteria for AI adoption and report on performance outcomes. More ❯

support user acceptance testing (UAT) phases. Identify, document, and track defects using standard defect management tools. Participate in test reviews, walkthroughs, and sign-off processes. Ensure compliance with internal QA standards and regulatory requirements. Provide regular status updates and contribute to test reporting and metrics. Required Skills & Experience: Proven experience as a System Test Analyst or similar role in complex More ❯

delivery. Although this role has no direct reports, you'll lead by influence, mentoring and supporting Test Analysts from our offshore partners and helping drive excellence across the wider QA function. This role is a Fixed-Term Contract until March 2027, based at Wembley Stadium, with an expectation to be onsite two days per week. What you will be doing … both automated and manual test cases, providing guidance and hands-on support. Maximise the use of test tools, CI/CD pipelines and test environments. Define and report on QA metrics, giving visibility of test coverage, release readiness and product quality. What you'll bring: Excellent stakeholder management and communication skills. Strong understanding of Workday modules and their interdependencies. Proven More ❯

infrastructure deployments in the private cloud. Code Review: Participate in code reviews to ensure quality, efficiency, adherence to design specifications, and proper integration with the automation ecosystem. Delivery and Quality Assurance End-to-End Accountability: Maintain full accountability for the delivery and successful functioning of the developed on-premise automation solutions. Quality Assurance (QA) Testing: Design, implement, and execute comprehensive … QA test cases and scripts to validate the functionality and idempotency of the automation outcome (e.g., successful deployment of a VM, correct configuration of a Container host) before release to client teams. UAT Participation: Actively participate in the User Acceptance Testing (UAT) phase with client teams, gathering feedback on functionality, usability, and identifying defects or areas for improvement related to … the automated provisioning of Container and VM infrastructure . Defect Management: Triage, track, and manage all issues and enhancement requests arising from QA and UAT, ensuring their timely resolution. Documentation: Ensure all architectural designs, process flows, test results, and operational runbooks for the private cloud automation are accurately documented and maintained. Required Skills and Qualifications Experience: Proven experience (5+ years More ❯

LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast More ❯

LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast More ❯