76 to 100 of 127 Validation Jobs in Central London

and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first time. What will More ❯

be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us More ❯

be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us More ❯

be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us More ❯

be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us More ❯

Up to £65k (DOE). Permanent role. 2 days a week onsite in Central London. What You'll Be Doing: Execute manual testing activities with a focus on API validation using tools like Postman. Perform thorough regression and UAT testing to ensure product quality and business readiness. Collaborate closely with developers and stakeholders to identify, document, and track defects across More ❯

Up to £65k (DOE). Permanent role. 2 days a week onsite in Central London. What You'll Be Doing: Execute manual testing activities with a focus on API validation using tools like Postman. Perform thorough regression and UAT testing to ensure product quality and business readiness. Collaborate closely with developers and stakeholders to identify, document, and track defects across More ❯

and this is a great opportunity to contribute to meaningful product work. The Role You’ll be working on a bespoke claims management platform that supports everything from claim validation to property surveying and repair coordination. The role involves backend development, API integration, and contributing to multiple internal tools and products.You’ll join a collaborative team of developers with a More ❯

Models (LVMs), and Multimodal AI into production workflows. Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics. Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance. Requirements 5–7 years of experience in Computer Vision and Deep Learning with deployed production models. Strong proficiency in Python and PyTorch ; hands-on More ❯

Models (LVMs), and Multimodal AI into production workflows. Work with CCTV and multi-camera systems for tracking, localization, and behavior analytics. Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance. Requirements 5–7 years of experience in Computer Vision and Deep Learning with deployed production models. Strong proficiency in Python and PyTorch ; hands-on More ❯

with end-to-end automation Event-Driven Architecture: Kafka or similar messaging systems Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc. Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves Experience in regulated environments (banking, fintech, healthcare) Background in Site Reliability Engineering or DevOps transformation Exposure to FinOps/cost optimisation Familiarity with Azure Enterprise More ❯

with end-to-end automation Event-Driven Architecture: Kafka or similar messaging systems Monitoring & Observability: Azure Monitor, Open Telemetry, Prometheus etc. Secure-by-Design Practices: Policy as Code, automated validation, compliance controls Nice to Haves Experience in regulated environments (banking, fintech, healthcare) Background in Site Reliability Engineering or DevOps transformation Exposure to FinOps/cost optimisation Familiarity with Azure Enterprise More ❯

and risk assessments to leadership. Cross-functional Collaboration · Interface with internal engineering teams (mechanical, electrical, controls amongst others) to ensure holistic, integrated system performance. · Support data center commissioning and validation activities, especially fire/life safety systems and sequences of operation. · Partner with Operations and reliability engineering teams to troubleshoot live systems and develop corrective action plans with minimal disruption More ❯

potential opportunities on prospects (on an incoming lead) Support account management teams on “your” products. Lead or support customer engagements, including discovery calls, needs assessments, product demonstrations, and solution validation for new offerings. Identification of all the key stakeholders (Sales, Product Manager, Product Marketing...) on “your” Bare Metal product. Be able to enable the Sales broader sales organization, supporting complex More ❯

potential opportunities on prospects (on an incoming lead) Support account management teams on “your” products. Lead or support customer engagements, including discovery calls, needs assessments, product demonstrations, and solution validation for new offerings. Identification of all the key stakeholders (Sales, Product Manager, Product Marketing...) on “your” Bare Metal product. Be able to enable the Sales broader sales organization, supporting complex More ❯

and execute outbound prospecting campaigns to generate new opportunities Shape early positioning, messaging and value propositions for a new vertical Run full early-stage sales cycles from discovery to validation and internal handover Work closely with product and leadership to feedback market insights Develop repeatable GTM frameworks that can scale What You’ll Bring Experience selling into universities, higher education More ❯

and execute outbound prospecting campaigns to generate new opportunities Shape early positioning, messaging and value propositions for a new vertical Run full early-stage sales cycles from discovery to validation and internal handover Work closely with product and leadership to feedback market insights Develop repeatable GTM frameworks that can scale What You’ll Bring Experience selling into universities, higher education More ❯

from problem definition through to delivery Proficiency in creating and maintaining design systems or reusable component libraries Hands-on experience conducting user research (e.g., interviews, usability testing, prototyping for validation) Strong cross-functional collaboration skills—comfortable working closely with PMs and engineers in a fast-moving team A portfolio showcasing thoughtful interaction design, clear visual hierarchy, and strategic design decisions More ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/… Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python More ❯

transformation logic and reconciliation procedures to validate migrated data. Collaborate with engineers on ETL design and ensure smooth data onboarding into production environments. Develop quality assurance processes and data validation scripts to identify anomalies and drive resolution. Data Analytics & Reporting Develop and maintain dashboards and reports for brokers, insurers, and internal teams using tools like Power BI or Looker. Translate … insurance or broking software. Proven experience managing broking system data migrations from legacy platforms (Acturis, Open GI, SSP, Applied, TAM, etc.). Strong SQL skills for data extraction, transformation, validation, and reconciliation. Experience with BI/reporting tools such as Power BI, Looker, or Tableau. Understanding of insurance data structures, including clients, policies, risks, premiums, claims, and bordereaux. Comfortable working More ❯

transformation logic and reconciliation procedures to validate migrated data. Collaborate with engineers on ETL design and ensure smooth data onboarding into production environments. Develop quality assurance processes and data validation scripts to identify anomalies and drive resolution. Data Analytics & Reporting Develop and maintain dashboards and reports for brokers, insurers, and internal teams using tools like Power BI or Looker. Translate … insurance or broking software. Proven experience managing broking system data migrations from legacy platforms (Acturis, Open GI, SSP, Applied, TAM, etc.). Strong SQL skills for data extraction, transformation, validation, and reconciliation. Experience with BI/reporting tools such as Power BI, Looker, or Tableau. Understanding of insurance data structures, including clients, policies, risks, premiums, claims, and bordereaux. Comfortable working More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our More ❯

Job Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our More ❯

logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co-design and validate dashboards that meet business expectations. Data Quality : Ensure data consistency, accuracy, and completeness; support validation and UAT. Documentation & Knowledge Sharing : Maintain documentation of data models and metric definitions. Continuous Improvement : Stay up to date with Snowflake features, data best practices, and logistics trends. Cross-functional … Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills More ❯

logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co-design and validate dashboards that meet business expectations. Data Quality : Ensure data consistency, accuracy, and completeness; support validation and UAT. Documentation & Knowledge Sharing : Maintain documentation of data models and metric definitions. Continuous Improvement : Stay up to date with Snowflake features, data best practices, and logistics trends. Cross-functional … Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills More ❯