1,001 to 1,025 of 3,439 Validation Jobs in the UK

operating-model design, migration delivery, stakeholder engagement, risk management and benefits realization. Oversee core actuarial activities, including experience analysis, modelling, valuation assumption support and validation of premiums, claims, settlements and collateral. Provide clear, decision-oriented insight on treaty level performance, emerging trends, risk drivers, sensitivities and value creation. Manage contractual ...

training materials, and communications. Ensure readiness and change adoption activities are completed prior to go-live. Participate in release planning and support post-release validation and performance review. What you will need to apply: Hands on experience in HR process design, business analysis, or HR operations within a global organisation. ...

Graph Theory), and Regressions with the ability to discuss in depth the design decisions.Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents.Understanding of AI/ML performance measurement best practices including but not limited ...

design, reducing development risk and timeline by ensuring early-stage simulation is robust, accurate, and actionable. Then, as designs mature, you will champion experimental validation, applying and developing advanced measurement techniques at ultra-small scales. Ensuring close alignment between simulation and real-world physics is critical to achieving Dyson ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle ...

machine learning, ideally in consulting, high‐growth, or commercial environments. Strong applied machine learning expertise, including: Model selection and development Feature engineering Evaluation and validation Deployment into production environments Demonstrated experience taking models beyond experimentation into operational, business‐critical systems. Strong background in statistics and quantitative problem solving. Proficiency ...

trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. Work closely with Credit Risk, Operations, Transformation and Finance teams to translate business problems into analytical solutions. Build scalable analytical processes ...

squads and drive ceremony rhythm Create and maintain dashboard reporting across delivery, release and velocity Facilitate delivery end‐to‐end: scoping → sizing → development → testing → validation → sign‐off → prod roll‐out Coordinate cross‐functional teams, manage dependencies and drive execution Maintain delivery plans, surface risks early and ensure on‐time, high ...

promptly respond to on-call events with urgency and rigor.Manage the lifecycle of security product feature requests and improvements full life-cycle from triage, validation, design, testing, and implementation.Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity.Mentor and coach earlier career engineers, setting ...

Expertise Advanced spreadsheet skills are essential. Experience in manipulating, analysing and visualising data, automated tasks and creating complex reports (mastering advanced formulas, functions, data validation, pivot tables, macros and charting techniques) Experience leading or supporting business change programs or portfolios. Programme office delivery experience within the full lifecycle of cross ...

Theory), and Regressions with the ability to discuss in depth the design decisions.* Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall, RAG, Agents.* Understanding of AI/ML performance measurement best practices including ...

tools, modern analytical workbenches and emerging AI use cases such as natural language analytics and text-to-SQLImproving data quality through testing, monitoring, validation and clear ownership of analytical modelsPartnering with stakeholders to understand reporting and insight needs, then translating them into scalable, maintainable data productsSupporting self-service analytics ...

equivalent technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. Experience ...

improvement as part of business-as-usual operations. Location – London, Manchester or ScotlandKey Responsibilities: Own and lead the triage operating model to ensure consistent validation, classification, prioritisation and escalation across all suspected data incidents, including any significant data incidents, operating in a confidential environment.Provide senior oversight on complex or high ...

reusable implementation frameworks that minimize future custom work. Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs. Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging ...

enable rapid detection and recovery.Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).Improve deployment safety through better change management, validation, and rollback mechanisms.Automation & ToolingBuild automation for cluster operations, training workflows, remediation, and scaling tasks.Implement self-healing patterns and resilient recovery workflows.Harden CI/ ...

testing, adoption and benefits realisation. Comfortable using AI tooling personally to accelerate programme delivery, analysis, reporting and decision-making, while applying appropriate judgement and validation to outputs. Able to identify where AI can improve both the client solution and the way the programme itself is delivered. Experience working with technical ...

scores, climate, carbon emissions, green revenues)Proven ability to take new data sources from discovery to production (source evaluation, data mapping, ingestion patterns, validation rules, change management, and operational handover).Experience leading migration of datasets from legacy systems to target data platforms (e.g. cloud/data lake/warehouse), including ...

within your power to do so.Your skills and experienceStrong professional experience with Scala and functional programmingExperience designing and consuming REST APIs; JSON validation/serialisation using Play JSON or Circe.Designing for and querying relational databases such as PostgreSQL and/or NoSQL databases such as MongoDB.Writing unit and integration tests ...

etc.Collaborating with infrastructure teams to migrate legacy VPN, proxy, and firewall solutions to cloud native Zero Trust models.Conducting proof-of-concept evaluations and technical validation sessions.Security Leadership & StrategyDriving the organization’s Zero Trust strategy and security roadmap.Providing architectural governance and ensuring security best practices across projects.Conducting threat modelling, gap assessments ...

Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation rules, but how to build systems that detect and surface integrity issues before they reach consumers Comfortable with infrastructure‐as‐code (Terraform ...

Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation rules, but how to build systems that detect and surface integrity issues before they reach consumers Comfortable with infrastructure‐as‐code (Terraform ...

cyber and information security risk assessment activities including threat modelling, vulnerability analysis and analysis of mitigations, including technical understanding.Scoping and managing security verification and validation activities and remedial action plans.Coordinating with product engineers, system architects, and developers to provide oversight and guidance in the development of robust solutions, including advising ...

discovery through launch readiness- Operate as one half of a dedicated two-person team with a Security Specialist Seller - you own solution architecture, technical validation, and customer confidence; your seller owns opportunity origination and deal strategy- Drive adoption of the AWS Security Services portfolio (Security Hub, GuardDuty, Inspector, Detective ...

### Establish environment strategy and standards across AWS.* ### Automate environment setup, teardown, and configuration using IaC.* ### Integrate automated post-deployment validation and health checks into CI/CD.* ### Build monitoring and alerting with minimal false positives.* ### Manage and mentor DevOps engineers.* ### Partner with Engineering, Product ...