6 of 6 Permanent Knowledge Management Jobs in the Thames Valley

proactive leader with a passion for technology and delivering exceptional support, we’d love to hear from you! Key Responsibilities Leadership and Team Management: Lead and mentor the Global Site Support team, fostering a collaborative and high-performance culture Develop team capabilities through training, coaching, and performance feedback … deliver a cost effective and seamless global on-site support service, ensuring compliance with Aurora’s SLAs and quality standards Device and Endpoint Management: Oversee the full lifecycle management of end-user devices, including procurement, configuration, patching, security compliance, and decommissioning Own and manage the end-user tech ...

part of the ring-fence, it is expected that your employment will move with Castrol to new ownership. Role purpose The Expert Technologist Data Management leads data transformation and AI-enablement across Castrol Product Technology, accelerating the adoption of scalable digital solutions that improve decision-making, data quality … supporting digital initiatives in a multifaceted, open and fast paced environment. Degree in a scientific or engineering rigor. About the team The Data Management & Knowledge Management Team is the central function responsible for defining long-term data strategy, governing data quality, managing knowledge assets and growing ...

have experience owning a product backlog and enjoy spending time understanding users before jumping to solutions. You'll likely have: 12–18+ months' Product Management experience with ownership of discovery and prioritisation. Experience conducting user research and translating insights into product decisions. A customer-first mindset with strong problem … interest in AI and an understanding of how AI can enhance user experiences. Nice to have: Enterprise SaaS experience. Experience with search, content management, information governance, records management or knowledge management products. Exposure to AI-enabled product features. What's on Offer? Salary ...

systems Ensure SLA compliance and accurate ticket updates Adhere to security, compliance, and confidentiality requirements Provide remote support for on site engineers Contribute to Knowledge Management and Continual Service Improvement Participate in team meetings and actively contribute towards the business’ activities Strive to maximize personal development and performance … take active part in performance reviews and personal development plans Maintain up to date technical knowledge through internal and external training provision. Operate according to the requirements of business-specific applications and processes and the broad application environments (e.g. order submission, stock control, timesheet submission, job closing, etc.) Your ...

multiple agentic AI projects, ideally spanning both industrial and academic environments. Should be comfortable working at the intersection of large language models, symbolic reasoning, knowledge representation, workflow orchestration, evaluation, and full-stack (web) product development. This is a role for someone who can move from research concepts to working … modern agent frameworks and orchestration tools. Develop agentic workflows that go beyond chat, including complex analytical pipelines, multi-step research workflows, tool-using agents, knowledge-grounded agents, and structured decision-support systems. Work with knowledge-based AI architectures, including retrieval-augmented generation, knowledge graphs, symbolic rules, structured ...

with enterprise architecture, scalability, performance, and security standards. Champion DevOps best practices including automation, monitoring, observability, and operational excellence. Maintain robust security controls, vulnerability management, and compliance standards. AI-Assisted Engineering Act as a hands-on contributor to software development activities. Drive adoption of AI-assisted coding tools such … code generation platforms. Establish best practices for safe, secure, and effective AI-assisted development. Embed AI-enabled workflows across design, coding, testing, documentation, and knowledge management. Ensure AI-generated outputs meet engineering, security, and architectural standards. Evaluate emerging AI technologies and identify opportunities to enhance engineering productivity and delivery ...