3 of 3 DemandTrendPermanent Artificial Intelligence Jobs in High Wycombe

ideas and the confidence to execute them. Excellent problem-solving, communication, and conflict-resolution skills. The ability to use metrics to drive performance and decision-making. Any experience with AI solutions is beneficial. Experience with ITIL or similar frameworks is advantageous. Experience and proficiency with SQL. The Package: A base salary up to £60,000, plus bonus. 25 days’ holiday More ❯

oversee the full delivery of the People Systems Project, leading two main areas of work: Systems, Automation & Innovation – introducing automation to streamline HR processes, improving our ticketing system, using AI in SAP SuccessFactors, creating a knowledge base for self-service, and reviewing intranet content. Position Data & Establishment Control – developing better ways to manage organisational data, including introducing clear position management More ❯

are currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation. You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data … the life of an Aiimi Data Engineer: Collaborating with business subject matter experts to discover valuable insights in structured, semi-structured, and unstructured data sources. Using data engineering and AI techniques to help clients make smarter decisions, reduce service failures, and deliver better customer outcomes. Connecting to and extracting data from source systems, applying business logic and transformations, and enabling … data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. Developing innovative ways of working to improve efficiency and scalability. Setting up interfaces to source systems More ❯