476 to 500 of 2,010 Validation Jobs in the UK

procurement and executive stakeholders. Understanding of the drug discovery process, early-phase R&D and the role of data-driven insight in target discovery, validation, biomarker development and translational research. Ability to support pricing, forecasting, financial planning, recruitment and business operations in a growth-stage environment. High levels of credibility ...

delivery patterns, reusable templates, and reference implementations Support adoption of centrally managed tooling and automated security controls Develop integrations and automation to enable security validation, audit evidence generation, and operational metrics Collaborate with platform, architecture, and security teams to improve processes, tooling, and delivery capabilities Communicate security guidance, standards ...

customer leadership and defence programme teams. Manage stakeholder expectations and communicate technical concepts to non‐technical audiences. Participate in customer design workshops and architecture validation activities. What You’ll Bring Extensive IT infrastructure experience with experience within a architecture role. Proven experience designing and implementing enterprise‐scale infrastructure platforms. Strong ...

ensuring it is maintainable, extensible, reliable, efficient and consistent with company standards. Integration of the software and hardware components into one application. Verification/validation of the system complete with hardware including with the power system under test. Liaise with the other teams and disciplines within the company and customers ...

decision logic (primarily in Python) to de-risk delivery, resolve ambiguous requirements with data, and partner with core Quant on model development and validation Build backtesting and analytics capability to assess strategy performance and support evidence-based enhancement prioritisation Lead end-to-end delivery and operational ownership, including requirements, testing ...

observability logging, tracing, evaluation pipelines, and guardrails to maintain quality and reliability in production AI systems Advise on responsible AI deployment, including output validation, human-in-the-loop design, and risk mitigation for agentic workflows Technical Skills & Experience Required Full-Stack Engineering: Strong proficiency in Java/Spring Boot REST ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

service management certifications Enterprise Backup, Recovery & Data Protection Data Resilience, Cyber Recovery & Ransomware Readiness Recovery Point Objectives (RPO) & Recovery Time Objectives (RTO) Restore Validation, Disaster Recovery Testing & Recovery Runbooks Immutable, Offline & Geographically Separated Backup Design Backup Platform Administration, Monitoring & Troubleshooting Windows, Linux, VMware, Hyper-V, Database & Cloud Workload Protection Storage ...

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. Apply knowledge of tools within the Software Development Life ...

quality assurance team. In this role, you will be responsible for ensuring the quality and reliability of our software products through rigorous testing and validation processes. Role Collaborate with the project team to understand project requirements and objectives. Develop detailed test plans that outline the scope, test objectives, and test ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

example by acting with integrity, building trust and creating clarity for the team. Qualifications 10+ years of professional experience in Credit modeling, statistical analysis, validation, or equivalent. Advanced degree in Economics, Finance, Math, Statistics or equivalent Experience managing global quantitative teams, with a track record of motivating people, developing talent ...

issues raised internally, or by regulators/(independent) validators, or as a result of changes in risk profile/industry best practice;* Support validation of model outputs;* Assist in the assessment, escalation and actioning of limitations in capital modelling methodologies, processes and results;* Assist in the maintenance of Internal Model ...

delivery of production machine learning and AI solutions in collaboration with data scientists and product teams Design and build model pipelines for training, validation, and deployment using modern tooling (e.g.MLflow, Kubernetes) Contribute hands‐on code to model packaging, deployment, and lifecycle automation Build systems thatmonitormodel performance, drift,reliabilityand operational health ...

data architectures Model lifecycle management and AI operationalisation DevSecOps and platform engineering principles Applied data science techniques (classification, clustering, NLP) Model lifecycle management (training, validation, monitoring) Translating legal and business problems into analytical use cases Understanding limitations and risks of statistical and ML models Large Language Models (LLMs) and GenAI ...

serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities ...

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 Apply knowledge of tools within the Software Development Life ...

across cross-functional teams and clients Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data ...

live Advising clients on leading practice — not just what Oracle can do, but what they should do Running and owning design workshops, playbacks, and validation sessions Fast Formula configuration for complex compensation logic Onboarding journeys and approval workflow design Coaching and upskilling colleagues, raising the bar across the practice Building ...

including GPU-based environments, autoscaling, workload isolation, rollout strategies, and cost optimization. Set the technical direction for CI/CD for ML, embedding testing, validation, security, performance checks, and release confidence into deployment pipelines. Establish observability standards for ML systems, including model metrics, service health, alerts, drift detection, data quality ...

operational security processes (account management, secure maintenance, audit trails). 5) Testing, commissioning and handover - Define test strategies: FAT/SAT, integrated testing, performance validation, resilience/failover tests, alarm response verification. - Support commissioning, resolve defects, verify as-built compliance, and produce handover documentation and training inputs. - Ensure operational readiness ...

technology roadmaps. You will be involved throughout the complete product lifecycle—from early feasibility studies and proof-of-concept demonstrators through detailed design, verification, validation and manufacturing transfer. Throughout this process you will collaborate with ultrafast laser specialists across Coherent's global engineering organisation, sharing expertise and helping develop technologies ...

Impact Assessments (DPIAs), Legitimate Interest Assessments (LIAs) and Transfer Impact Assessments (TIAs). You will assist in the enhancement of the existing processes, including validation of the assessments and implementation steps required for the maintenance of the Records of Processing Activity. Data Subject Requests – To handle timely responses to data ...

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 & Tooling Build automation for cluster operations, training workflows, remediation, and scaling tasks. Implement self‐healing patterns and resilient recovery workflows. Harden ...

independently to solve complex technical problems, including integrations, and is accountable for producing detailed technical designs, building working demos and prototypes, and supporting solution validation throughout delivery. The role works closely with Technical Architects, contributing to solution implementation while being mentored to grow architectural capability. Key Responsibilities Designing, building, testing ...