1 to 25 of 127 Remote Validation Jobs in London

the NHS and Tesco so discretion and the careful management of decisions is a key requirement of this role. The Software Developer will be involved in the development and validation of products, systems and components in the CI/CD cycle of the replatforming of the core product, as well as working on other new components and projects to drive More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non More ❯

and domain experts to translate 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, balancing long-term ML strategy More ❯

and domain experts to translate 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, balancing long-term ML strategy More ❯

tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation More ❯

user profiles, permission sets, roles, and sharing rules to ensure data integrity and security Configuration & Customization: Configure and customize standard and custom objects, fields, page layouts, record types, and validation rules Automation: Design and implement business process automation using declarative tools such as Flow, Process Builder, and Workflow Rules Data Management: Perform data import, export, and cleansing activities using tools More ❯

experience with PySpark, SQL, and Python Proven track record of building and maintaining data pipelines Ability to translate business requirements into robust data models and solutions Experience with data validation, quality checks, and documentation Excellent communication and stakeholder management skills Why Join? Work with a world-leading travel sector client on impactful, global-scale data challenges Contribute to shaping how More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring More ❯

alternative technologies. Ensure compliance with medical device standards such as ISO 14971, IEC 60601, and ISO 13485 . Lead governance activities, including Critical Design Reviews (CDRs). Support Verification, Validation, and system qualification processes. Conduct detailed risk management activities (FMEAs, hazard analyses). Drive continuous improvement of engineering processes, tools, and lean design techniques. Monitor evolving regulatory requirements to ensure More ❯

in discussions with cross-functional teams, including operations, quality, engineering, IT, and supply chain. Ensure effective communication between developers and business subject matter experts (SMEs). Collaborate with regulatory, validation, and compliance representatives to maintain adherence to standards. Competencies: Entrepreneurial & Commercial Acumen Clear Presentation & Communication Strategic Thinking & Concept Development Proactivity & Decision-Making Skills Delivering Results & Meeting Expectations Influencing & Persuasion Essential More ❯

strategy into clear initiatives, epics, and user stories for execution by cross-functional value streams. Ensure delivery meets quality, performance, accessibility, and commercial standards. Drive continuous product experimentation and validation (A/B, usability testing, prototype cycles). Commercial and Data Leadership Link product initiatives directly to commercial impact (acquisition, churn reduction, yield uplift, engagement). Define, monitor, and report More ❯

in high-impact capabilities. Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators-informing both product positioning and long-term AI strategy. Use Case Identification and Validation Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance More ❯

FME workbenches to support migration from vector overlays to grid/hex-based models Collaborate with GIS and engineering teams to translate requirements into scalable workflows Implement data transformation, validation, and automation to improve model accuracy and performance Optimise and restructure legacy FME workbenches for maintainability Support integration with ArcGIS Pro and downstream analytical workflows Provide knowledge transfer, documentation, and More ❯

workshops. Develop and maintain system architecture and design in alignment with user and stakeholder needs. Lead engineering governance activities, including Critical Design Reviews (CDRs). Collaborate with verification and validation teams to support defect triage and resolution. Monitor regulatory standards, ensuring compliance with IEC 60601, ISO 14971, and other relevant frameworks. Conduct risk management activities, including FMEA, hazard analysis, and More ❯

Do Conduct full-scope penetration tests on applications, APIs, internal infrastructure, networks, and cloud environments (AWS, Azure, GCP). Identify and exploit security flaws: insecure authentication, authorization bypass, input validation issues, cloud misconfigurations, AD misuse, etc. Perform internal/external network testing, AD enumeration, privilege escalation. Automate security testing where possible, integrating IaC and ServiceNow workflows. Simulate real-world attacks More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯

e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR More ❯