3 of 3 Remote/Hybrid Risk Management Jobs in Hillingdon

eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation … Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. ...

Hybrid | Long-term Contract | Outside IR35 | Competitive Rate The Opportunity We're recruiting a Senior Electrical Engineer to develop and deliver electrical maintenance procedures, risk assessments, and planned preventative maintenance programmes for aviation fuel distribution infrastructure at London Heathrow Airport. This is hands-on technical work. You'll produce … electrical maintenance procedures, conduct risk assessments, design PPM programmes, and support site teams in implementing electrical standards and compliance requirements. Your expertise in aviation fuel systems, electrical safety, and hazardous area installations directly impacts safety, compliance, and operational continuity. Contract Details: Outside IR35 | Competitive rate | Long-term contract | Hybrid ...

translating client business challenges into scalable AI architectures and delivery roadmaps. Platform Governance: Design and govern AI platform architecturescovering model orchestration, prompt/context management, retrieval pipelines, vector stores, and tool integration (including emerging protocols like MCP). Responsible AI Frameworks: Define and enforce AI governance, risk, and safety frameworks (covering bias, data privacy, and model risk) aligned with regulatory requirements. Team Leadership and Delivery: Mentoring and leading a team of AI engineers and architects, driving end-to-end delivery quality, technical governance boards, and production readiness. Ecosystem Partnerships: Own technical relationships across major cloud ...