1 to 25 of 279 Remote Validation Jobs in London

to defined business rules and data quality standards, and load it into target data warehouses or databases. Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements More ❯

to defined business rules and data quality standards, and load it into target data warehouses or databases. Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements More ❯

history of configuring and optimising Mirth Connect channels, employing JavaScript for HL7, DICOM, and potentially FHIR transformations. Familiarity with XML/JSON for message validation and data handling; experience with radiology systems (e.g. RIS/PACS) is a bonus. Modern Engineering Practices Proficiency in scripting languages (e.g. JavaScript, Python), agile More ❯

have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment reporting Hybrid style of work/WFH More ❯

strong focus on data reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL More ❯

strong focus on data reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL More ❯

proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop More ❯

in highly analytical and data driven roles, specifically on the product side Solid experience with A/B testing, conversion measurement frameworks, and quantitative validation methods Strong communicator who can translate complex technical concepts and influence decisions Analytical problem-solver who transforms ambiguous challenges into structured, data-informed solutions SQL More ❯

in strategy discussions with leadership team members. A passion for building and participating in highly effective teams and development processes. Strong debugging, testing/validation, and analytics/SQL(AO), skills Apache, Experience working with Agile methodologies (Scrum) and cross-functional teams. Desirable: Experience in CDN, datacenter, hyperscaler, media, news More ❯

Tableau) Desirable: Experience within an AI/ML-focused team or projects Familiarity with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Exposure to model validation, explainability, or regulatory AI contexts Why Join? Work with a top-tier AI/ML team on innovative financial solutions Collaborate with senior stakeholders and More ❯

workflows and build solutions Collaborating across departments with teams in credit risk, finance, capital markets, and operations Monitoring model performance and contributing to regular validation and compliance reporting What you'll need? A degree, or equivalent experience, in a numerate subject such as Mathematics, Statistics, Data Science, Economics, or Physics More ❯

and Mechanical Engineering An appreciation of designing complex products Systems design experience Experience of working throughout the development lifecycle (design through to integration, verification, validation, and qualification) Expertise in trade-off analysis Technology insertion (e.g. Urgent Capability Requirements) Supporting to in-service products/systems and quality/issue resolution More ❯

compliance with security and privacy regulations. Implement automated, scalable data migration processes across various project phases. Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed. Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets. Collaborate closely with software development and product teams to align data More ❯

compliance with security and privacy regulations. Implement automated, scalable data migration processes across various project phases. Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed. Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets. Collaborate closely with software development and product teams to align data More ❯

compliance with security and privacy regulations. Implement automated, scalable data migration processes across various project phases. Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed. Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets. Collaborate closely with software development and product teams to align data More ❯

trading strategies. Collaborate with traders, structurers, and risk managers to deliver robust analytical tools and pricing solutions. Ensure model governance compliance, including documentation and validation support. Contribute to innovation in pricing methodologies, numerical techniques, and model efficiency improvements. Conduct scenario analysis and stress testing for complex structured products. Essential Skills More ❯

Leadership and Principal Engineers, focusing on scalable, automated, and maintainable systems. • Champion and embed ML Ops best practices - including model lifecycle management, testing and validation, deployment (CI/CD) and serving, monitoring and observability. • Collaborate with Tech Leadership to drive forward-looking architectural decisions, modernise infrastructure, and reduce technical debt More ❯

Systems Integration (SI). Product Integration. Design to Cost/Value Engineering (DtC). Configuration and Change Control Management (CM & CC). Verification and Validation (V&V). Specialist Systems Engineering discipline activities (e.g. Safety, Reliability, Availability, Maintainability, EMC, Human Factors, etc.) Delivery of Systems Engineering Deliverables within time and More ❯

of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting. Location? Hybrid, with 2-3 days working from Daintta office (London or Cheltenham) or on client site as required. What's in it More ❯

Proven experience in product design Knowledge of analogue and digital circuit design An understanding of the fundamentals of Systems Engineering methodologies around Design, Verification, Validation, Qualification and Acceptance Self motivated and capable of working alone and with teams Must have good communication skills Experience producing documentation with clarity and precision. More ❯

ensure seamless integration and adoption of Workday solutions. Providing subject matter expertise and best practices in Workday functionality and processes. Conducting system testing, data validation, and support user acceptance testing (UAT). Mentoring junior consultants and support knowledge sharing across the team. Troubleshooting and resolve complex issues related to Workday More ❯

working, initial 12 month contract + opportunity to extend long-term & start date ASAP. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract More ❯

working, initial 12 month contract + opportunity to extend long-term & start date ASAP. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract More ❯

customers to identify areas for improvement through the use of automation and data analytics technology. Providing technical and automation operational support to Engineering, Manufacturing, Validation and Facilities departments. Co-ordinating and supporting project commissioning activities. Mentoring and training of junior engineers. Researching new technologies and trends in Industrial Automation and More ❯

in trade-off analyses to optimize system performance and functionality. Contribute to all phases of the system lifecycle, from design through to integration, verification, validation, and qualification. Support design reviews and provide expertise to ensure quality and compliance. Attend customer meetings and collaborate across multidisciplinary teams. What are we looking More ❯