726 to 750 of 2,094 Validation Jobs in the UK

requirements, ensuring clarity and alignment with project goals. Tools and Methodologies: Use requirements management tools and methodologies to organise, track, and maintain traceability throughout the project lifecycle. Analysis and Validation: Ensure system requirements are complete, feasible, and meet high-quality standards. Design Reviews: Provide insights into the impact of requirements on system architecture and functionality during design reviews. Stakeholder Engagement More ❯

the full RAN stack. What you'll be doing: Architecting advanced wireless solutions (RU/DU/CU) for public and private 5G deployments Leading end-to-end design, validation, and integration of vRAN/xRAN technologies Collaborating with engineering teams and technology partners to align designs with business goals Delivering secure, scalable, and interoperable network solutions that meet performance More ❯

and finance teams to determine what data Onesource needs to access from Oracle. Define and manage interface points , data mapping , and integration architecture . Support integration testing , troubleshooting, and validation of end-to-end tax calculation flows. Work with Oracle Cloud functional and technical teams to ensure seamless integration and performance. Provide documentation of the integration setup, configurations, and best More ❯

proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure More ❯

the full RAN stack. What you'll be doing: Architecting advanced wireless solutions (RU/DU/CU) for public and private 5G deployments Leading end-to-end design, validation, and integration of vRAN/xRAN technologies Collaborating with engineering teams and technology partners to align designs with business goals Delivering secure, scalable, and interoperable network solutions that meet performance More ❯

the full RAN stack. What you'll be doing: Architecting advanced wireless solutions (RU/DU/CU) for public and private 5G deployments Leading end-to-end design, validation, and integration of vRAN/xRAN technologies Collaborating with engineering teams and technology partners to align designs with business goals Delivering secure, scalable, and interoperable network solutions that meet performance More ❯

Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

implementation of the HRIS, including planning, configuration, testing, training, and go-live. Collaborate with HR, IT, and external vendors to ensure system requirements are met. Assist in data migration, validation, and cleansing activities. Develop and maintain project documentation including plans, risk logs, and progress reports. Coordinate user acceptance testing (UAT) and support training delivery. Monitor project milestones and escalate issues More ❯

skills include Docker, Kubernetes, CI/CD, Android & Azure DevOps Role Overview: Design & architecture of applications and design/development of user-facing applications Building reusable code libraries Testing, validation and optimisation Cross application functionality Documenting Problem solving and investigation Peer code reviews Requirements gathering (ad-hoc) Learning and upskilling into new technology You’ll be joining an established Employee More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders real impact, real More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights to support performance monitoring, profitability, and risk analysis Maintain and enhance existing BI solutions to improve scalability and efficiency Support broader data initiatives including governance More ❯

Build interactive dashboards in BI tools such as Power BI or Apache Superset. Ensure dashboard performance and real-time accessibility for business users. Business Reporting & Data Insights Conduct data validation and quality assurance to ensure reliable insights. Translate complex data into clear, actionable recommendations. Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data modelling, and large More ❯

proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker More ❯

proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker More ❯

development: Responsibilities include but are not limited to: Serve as Responsible System Engineer, review and report on multiple systems performance and trending data Oversee and lead reviews, updates and validation of standard operating procedures, and training material for multiple generations of systems Develop, maintain, and utilize necessary trending and monitoring tools/scripts in perl, python, Grafana, etc. Successfully complete More ❯

and define system requirements. System Configuration & Testing: Support the configuration and lead testing efforts to ensure system functionality aligns with user needs. Data Migration: Assist in the migration and validation of data from legacy systems. Stakeholder Engagement: Facilitate communication between stakeholders, IT teams, and 3rd parties. Training & Support: Develop training materials and provide user support during and after implementation. Continuous More ❯

skills include Docker, Kubernetes, CI/CD, Android & Azure DevOps Role Overview: Design & architecture of applications and design/development of user-facing applications Building reusable code libraries Testing, validation and optimisation Cross application functionality Documenting Problem solving and investigation Peer code reviews Requirements gathering (ad-hoc) Learning and upskilling into new technology You’ll be joining an established Employee More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯

a global Lakehouse platform (Data Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to quants and traders – real impact, real More ❯