76 to 78 of 78 Knowledge Management Jobs in England

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 ...

systems engineering principles are applied consistently across the portfolio of programmes Champion the use of Model Based Enterprise toolsets to better manage technical projects, knowledge and progress. This role offers hybrid working. How You'll Contribute The Principal Research Engineer - Systems Engineering will contribute to the following: System Engineering … Codebeamer as the tool for requirements capture and decomposition, Agile tasking across teams, Dash board Compliance reporting for safety, quality, and regulatory requirements, Wiki knowledge management. Manage team and execution Coach, support and develop the systems personnel reporting to the Principal Systems Engineer, including career progression, annual appraisals ...

actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across … senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across ...