201 to 225 of 611 Validation Jobs in London

and SAML; Join late-stage Sales opportunities to demonstrate Integration requirements to prospective customers and secure IT approval Advise customers on specific requirements (permissions, configuration, error resolution, testing/validation, etc.) during the implementation phase, working alongside the in-house Setup team and/or partner-led implementation consultants Lead system migrations using internal tooling and project management skills for More ❯

that is competitive in the market. (OpenAI, GPT 4.0, turbo, etc) Research and implement machine learning algorithms and tools to solve complex problems. Develop pipelines for data preprocessing, training, validation, and deployment of ML models. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Optimize model performance and ensure scalability of AI/ML applications. More ❯

vision, roadmap development, product-based budgeting, and using KPIs, user feedback, and customer journey insights to drive decision-making. Analytical & Technical Acumen : Skilled in business analysis, discovery, and solution validation; understands software development best practices, customer experience design, and has strong problem-solving and commercial awareness. Certifications & Industry Experience : Holds or working towards Agile certifications (e.g., CSPO, SAFe), with experience More ❯

an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong communicator with the ability to communicate technical concepts into layman's terms for a non-technical audience. You More ❯

efforts. Build & Scale Automation: Design, implement, and maintain automated test suites using Cypress/Playwright, Mocha, K6, Postman. Leverage Modern Tech Stacks: Write clean, maintainable test code and custom validation scripts in TypeScript and Node.js. Own Containerised Environments: Develop and manage Docker-based test infrastructures-including Dockerfiles, docker-compose, and TestContainers setups. Champion CI/CD & Shift-Left: Integrate tests More ❯

practices. Work closely with clients to understand their needs and requirements. Support clients during the data mapping and data validations. Good knowledge of Workday Reporting and experience with Data Validation Reports. Troubleshoot and resolve issues related to Workday Data Migrations. Have a good understanding of Workday Data Migration methodology. Experience in managing waterfall delivery within an agile project. Comfortable talking More ❯

cost and environmental impact whilst improving occupant wellbeing and productivity. We design Digital Building systems, including HVAC controls, BMS and IoT/Smart Building solutions, along with Commissioning and Validation services for new and existing buildings. Watch this short clip to discover how Arup are shaping a better world and how you could be a part of it! The Opportunity More ❯

business needs into innovative solutions to accelerate their growth and capacity Author responses to RFI & RFPs Seek out and spur new opportunities for interoperability, functional, and performance testing/validation Promote mutual roadmap and planning exchanges Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives Stay current with the More ❯

program. The candidate must understand their role in the broader vulnerability management program and your team will regularly perform discovery scanning, risk/exposure assessments, mitigation support activities, continuous validation assessments, and lessons learned workshops and improvement projects to continuously improve our process across Group Security and all other Verticals. We are looking for a diligent, dedicated, creative and motivated More ❯

model performance. Essential About you 7+ years of software and machine learning engineering experience in an industrial or applied research environment Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models Passion to work in a team on research ideas that have real product impact A good grasp of machine learning literature More ❯

through strong positioning and enablement. Messaging Adoption: Achieve and maintain a 4+/5 rating in internal surveys measuring the sales team's confidence in new product messaging. Customer Validation: Secure a minimum of six high-quality customer testimonials and three in-depth case studies annually. Launch Performance: Deliver successful product launches, measured by customer adoption, engagement levels, and internal More ❯

through strong positioning and enablement. Messaging Adoption: Achieve and maintain a 4+/5 rating in internal surveys measuring the sales team's confidence in new product messaging. Customer Validation: Secure a minimum of six high-quality customer testimonials and three in-depth case studies annually. Launch Performance: Deliver successful product launches, measured by customer adoption, engagement levels, and internal More ❯

the non-technical aspects of delivery, as well as other key departments such as Information Governance (security and compliance), Platform Development (core product innovation), and Quality Assurance (testing and validation). As the Head of Data & Analytics Consulting, you will oversee the technical deployment process from end to end, ensuring efficient and high-quality client implementations. You will develop a More ❯

and control expenditure thereof. To attend meetings as required. To prepare reports that include technical content and progress/key issue detail. To develop project specific commissioning management/validation documents and procedures. To comment technically on drawings, manuals and technical submittals. To develop project specific method statements, test scripts and the like. To be aware and report internally on More ❯

rooms are often different which creates unique opportunities for problem solving and model design. Own the full model lifecycle including but not limited to data curation, model implementation, training, validation, deployment, and maintenance. Development within Proximie environment to enable dynamic model training and performance evaluation while integrating with Proximies data lakes. Document solutions and contribute to internal knowledge sharing and More ❯

teams adopt secure coding standards and integrate automated security checks (SAST, DAST, dependency scanning) into CI/CD pipelines. Participate in threat modelling using InfoSec-led methodologies and coordinate validation and review workflows. Review technical designs, proposals and code for alignment with security policies, architecture patterns and assurance requirements. Act as a bridge between InfoSec and delivery teams - supporting direct More ❯

activation. Translate business needs into CDP use cases, from acquisition through retention. Collaborate with privacy and compliance teams to ensure proper handling of PII and data policies. Lead business validation and QA efforts to ensure segmentation accuracy and operational readiness. Monitor KPIs related to segment performance, coverage, and orchestration quality. Serve as the primary SME for Adobe RTCDP capabilities, providing More ❯

Role and Responsibilities Data Analysis: Develop scripts and tools to help automate data processing, including data cleansing, standardisation, enrichment and enhancement. Develop and implement tools and approaches for data validation, error checking, migration and transformation. Programming to prepare and load data: Lead the development of workflows for use by archivists to receive data from a variety of sources, process, enrich More ❯

Client is seeking Systems Engineers who have experience of the whole Systems Lifecycle from Concept through to Delivery. This will involve Requirements Capture, System Design, Integration, Test, Verification/Validation of high integrity Embedded related products ideally for the Defence/Military market sector. It is expected that you will have some understanding of Software/Electronics and Mechanical elements More ❯

strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such as Tableau or Power BI Proven experience working with large datasets, including data cleaning and validation Excellent communication skills, with the ability to distil complex analytical insights for diverse audiences THE BENEFITS A competitive base salary of up to £90,000, alongside a range of benefits More ❯

strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such as Tableau or Power BI Proven experience working with large datasets, including data cleaning and validation Excellent communication skills, with the ability to distil complex analytical insights for diverse audiences THE BENEFITS A competitive base salary of up to £90,000, alongside a range of benefits More ❯

reports and identify patterns from complex data sets. Collaborate with project managers and stakeholders to deliver insights. Create detailed reports and visualizations. Ensure data integrity and perform routine data validation and cleaning. Assist in developing data-driven strategies and solutions. Proven experience in a similar role. Strong analytical skills and attention to detail. Excellent communication and presentation skills. Ability to More ❯

transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements 1-2 years of experience in data engineering or a related role. Proficient in SQL, Python or R, and experienced with BI tools such as Tableau. Strong More ❯

transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements 1-2 years of UK work experience in data engineering or a related role Proficient in SQL, Python or R, and experienced with BI tools such as More ❯

from multiple legacy systems into NetSuite. Develop and execute a robust data cleansing strategy to ensure accuracy, consistency, and completeness across all acquired entities. Define data mapping, transformation, and validation rules in collaboration with internal stakeholders and external implementation partners. Ensure data integrity and compliance throughout the migration lifecycle. Manage project timelines, risks, and quality assurance processes related to data More ❯