1 to 25 of 69 Remote Validation Jobs in London

initiatives with minimal supervision. Demonstrable experience in mentoring or guiding junior team members or business stakeholders on data best practice. Experience working with data validation, cleansing and reporting processes. Exceptional communication and presentation skills, with a proven ability to articulate complex findings to both technical and non-technical audiences, ultimately ...

Experience of Process Mapping/AS-IS TO- BE/TOM/Documenting Standards Advanced data analysis and expertise - Requirements elicitation/documentation and validation/process modelling/Gap analysis and impact assessments Governance Excellent communication and interpersonal skills Senior stakeholder management Location: London Hybrid: 2 office days/ ...

Experience of Process Mapping/AS-IS TO- BE/TOM/Documenting Standards Advanced data analysis and expertise - Requirements elicitation/documentation and validation/process modelling/Gap analysis and impact assessments Governance Excellent communication and interpersonal skills Senior stakeholder management Location: LondonHybrid: 2 office days/ ...

define acceptance criteria. Perform risk analysis and validate solutions against the Interest Rate Derivatives Risk framework. Support functional and technical testing, including risk validation and automation improvements. Engage with stakeholders across Risk, Technology, and Operations to ensure alignment and governance. What We're Looking For Strong understanding of interest rate ...

definitions, and metadata to ensure clarity and consistency across the organisation. Review and optimise existing data models for performance, scalability, and maintainability. Lead model validation and quality assurance activities, ensuring models are accurate and fit for purpose. Provide guidance and support to project teams and business users on data modelling ...

emerging GenAI/ML needs. Pipeline Development & Workflow Management Develop, optimise, and monitor ETL/ELT pipelines across various data sources. Implement data validation, governance, quality assurance, and security best practices. Maintain and improve data lakes, warehouses, and integration layers. Cross-Functional Collaboration Work with analysts, BI teams, and stakeholders ...

strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models ...

accuracy Support data quality audits and contribute to laboratory information system improvements Maintain awareness of relevant IT and informatics developments Assist with documentation and validation of software linked to UKAS accreditation Professional Development Support genomic analysis pipelines for N. gonorrhoeae, C. trachomatis, M. genitalium, and other bacterial STIs Generate analyses ...

build, and maintain scalable ETL pipelines to ingest, transform, and load data from diverse sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices ...

with Python, SQL, Spark, AWS, Docker, CI/CD Orchestrate workflows using Airflow, Prefect, or Dagster Support ETL, API integrations, and high-quality data validation Translate business needs into technical solutions with full ownership What You Need STEM degree (Computer Science, Engineering, Maths, etc.) 2+ years in data engineering/ ...

alignment with business objectives. Manage their user stories and acceptance criteria through to production into day-to-day support Assist in the testing and validation of new requirements and processes to ensure they meet business needs Stay up-to-date with industry trends and best practices in data engineering Core ...

subsystem requirements Leading system design activities including functional and non-functional analysis Conducting trade studies to drive optimal design decisions Owning the Integration, Verification & Validation (IVV) strategy Supporting bid and proposal efforts Leading technical reviews, risk management and continuous improvement initiatives Mentoring and coaching junior engineers Contributing to the business ...

alignment with data models and business requirements. Automate data transformation processes to improve efficiency. Data Quality Assurance Implement and maintain data quality checks and validation processes to identify and resolve data anomalies and errors. Monitor data pipelines for data quality issues and implement data quality improvements. Collaborate with business stakeholders ...

augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security ...

augmented by AI-to ensure security, scalability, and maintainability across Python and other languages. AI Reliability & Governance: Develop and maintain rigorous testing/validation frameworks for AI-generated code, agent behavior, prompts, and model outputs, including monitoring for anomalies and compliance risks. Cross-Functional Collaboration: Work closely with DevOps, Security ...

current and active BPSS Clearance is required for this position , SC clearance is desirable. Key Skills: Azure platform testing (networking, identity, governance, security) Terraform validation and Git-based workflows Automation with PowerShell, Azure CLI, Python (pytest/Pester) Azure Policy, RBAC, CAF governance Logging and observability: Log Analytics, Sentinel Tools ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

translate business requirements into technical solutions. Automate data ingestion, transformation, and testing processes aligned with DevOps best practices. Implement data quality frameworks and validation tests to ensure accuracy and reliability. Contribute to the ongoing evolution of the platform, including real-time and streaming capabilities. YOUR SKILLS AND EXPERIENCE ...

multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data. Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimize workflows for low latency and high throughput, critical for trading and research. Collaborate ...

test suites Provide automation coverage across multiple projects Design, write, and execute manual test cases when automation is not applicable (e.g. exploratory testing, UI validation, one-off business scenarios) Perform regression and functional testing manually where automation is not feasible Working across multiple projects and collaborating closely with Developers, Product ...

guide strategic decision-making. Build and maintain KPI dashboards using modern BI tools (e.g., Looker Studio, BigQuery). Maintain high data quality through validation, monitoring and governance best practices. Contribute to the development and optimisation of the analytics and data warehouse environment. Provide BI guidance, training and support to stakeholders. ...

Intermediate Engineer will interact extensively with clients, providing a combination of hands-on system support along with infrastructure coordination, emphasizing network communication, firewall flow validation, and system health monitoring. The Intermediate Engineer will be expected to have technical involvement in client systems. Installing and configuring security system applications and setting ...

renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Responsibilities Perform offensive technical cybersecurity engagements of multiple nature. Interface with clients ...

solutions requiring integrations through various systems, including other Salesforce orgs Strong platform knowledge, including configuration of objects, flows, role and permissions, approval processes, validation rules, reports, CPQ, etc. Deep understanding of the Lead to Order process: Lead, Opportunity, Quote, Contract Comfortable working an environment combining both V-cycle and agile ...