1 to 25 of 171 Permanent Validation Jobs in London

cases by preparing structured and semi-structured data for retrieval, grounding, metadata enrichment and agent workflows. Implement data quality checks, validation rules, lineage, documentation and governance controls. Work with Microsoft Purview, Entra ID, RBAC and security best practice to ensure data is handled securely and appropriately. Help create reusable patterns ...

Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery ...

significantly contribute to cross‐functional projects. Productionize LLMs: Build evaluation framework for open‐source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‐correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook ...

Excel skills. Experience working with large and complex datasets. Knowledge of data modelling, data cleansing, and data enrichment techniques. Understanding of data quality assurance, validation, and governance principles. Experience managing multiple priorities and delivering projects to deadlines. Strong stakeholder management, communication, and organisational skills. Previous experience mentoring, coaching, or leading ...

insights Improve data quality and consistency across systems Build automated reporting, dashboards and data pipelines Turn recurring analysis into reusable components and templates Apply validation and quality checks to ensure accuracy Key Skills & Experience Strong SQL and Python experience Experience working with cloud-based data platforms (e.g. Snowflake, Azure ...

applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience ...

multiple projects and deliver under time pressure Experience communicating insights to both technical and non-technical audiences Knowledge of data modelling, data quality, and validation approaches Confidence mentoring or supporting junior team members Exposure to dashboarding tools or other programming languages is beneficial What They Offer Salary ...

first-class part of your workflow rather than a novelty. Responsibilities Author, run, and maintain test plans across all phases of client deployments — schema validation, referential integrity, row volume checks, data quality rules, and migration parity — using SPHERE's YAML-driven test framework Investigate test failures systematically: trace root causes ...

analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

analysis, scenario studies, and clear articulation of trade-offs. Lead development of ML/AI solutions end-to-end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold standards for documentation, reproducibility, traceability, and SDLC; ensure compliance with ...

Road Mapping: Facilitate and oversee the planning and maintaining of the Global Engineering team’s three year plan, updated annually. Quality Assurance: Implement validation and review procedures ensuring data accuracy and report quality before executive presentation. Meeting & Project Management: Facilitate leadership meetings with productive agendas; track action items with systematic ...

standards Experience Required Strong experience with Python (or similar) Advanced Excel skills Experience in data modelling, cleansing and enrichment Understanding of data quality and validation Proven experience working on complex data or analytics projects Experience handling large datasets Strong organisational skills and attention to detail Ability to manage multiple workstreams ...

Strong experience using Python for data analysis Advanced Excel and confidence working with large, complex datasets Solid understanding of data modelling, data cleansing, and validation techniques Experience delivering analytics projects in a commercial or client-focused setting Ability to manage multiple projects and priorities effectively Strong communication skills, with ...

processing and analysis. Optimise ETL processes, queries, and database performance to ensure scalability, stability, and efficient handling of growing data volumes. Conduct testing and validation activities to ensure data accuracy, performance, and successful integration across systems. Identify, troubleshoot, and resolve data quality, transformation, and integration issues. Maintain comprehensive technical documentation ...

device types and operating systems. Conduct non-functional testing including: Performance and load testing Scalability and resilience testing Business continuity and failover/DR validation Security-focused testing activities Identify, document, and track defects through to resolution. Produce clear and concise test reports and communicate findings effectively to stakeholders. Collaborate ...

dashboards are actually consumed Storytelling—able to explain what a number means, not just how it was calculated Strong attention to detail and validation rigour Collaborative approach with data engineering, analytics and product peers Comfortable learning new tools, datasets and business domains Domain Flexibility: Roles span commercial, customer, product, finance ...

access controls. Implement safeguards against AI‐specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity. Collaborate with engineering teams to establish secure‐by‐design AI application architectures. Ensure compliance with ...

metadata management, data lineage) to ensure data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability. Regulatory Compliance (Financial Services): In‐depth understanding of data‐related regulations and compliance requirements within ...

data lineage). Critical for ensuring data quality, compliance, and trustworthiness. Data Quality Management: Proficiency in implementing methodologies and tools for data profiling, cleansing, validation, and continuous monitoring to ensure high data accuracy and reliability. Regulatory Compliance (Financial Services): In‐depth understanding of data‐related regulations and compliance requirements within ...

large datasets within a data warehouse environment Develop repeatable analytical workflows using Python to improve efficiency and consistency Ensure data accuracy and integrity through validation, quality checks, and clear documentation Translate complex analysis into clear, actionable insights for non-technical stakeholders Collaborate with cross-functional teams to align metrics, definitions ...

multiple priorities and work effectively under time pressure Experience leading projects or mentoring analysts Strong stakeholder management and communication skills Understanding of data quality, validation, and best practice analytics workflows Exposure to dashboarding tools or additional programming languages is beneficial Background in media, marketing, or client focused environments is helpful ...

using modelling software and BPMN Assist in identifying opportunities for process improvement or automation Support the development of capability demonstrators Support the testing and validation of solutions during delivery phases Maintain clear documentation and version control for deliverables Support client facing business development activity They’d like to see Experience ...

using modelling software and BPMN Assist in identifying opportunities for process improvement or automation Support the development of capability demonstrators Support the testing and validation of solutions during delivery phases Maintain clear documentation and version control for deliverables Support client facing business development activity They’d like to see Experience ...

Automation & Quality Develop and integrate automated testing frameworks including unit, integration, system, and hardware-in-the-loop (HIL) testing. Integrate quality gates and automated validation into CI/CD workflows. Monitor and improve software quality, test coverage, and deployment success rates. Infrastructure & Reliability Manage build infrastructure, development environments, and deployment ...

production stability. Engineering & AI Execution Lead cross‐functional teams across engineering, data science, and ML engineering. Establish best practices for AI development, including model validation, monitoring, and retraining. Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing). Ensure seamless collaboration between data, product, and engineering teams. ...