3 of 3 AI Jobs in Wokingham

Azure cloud infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience with cross-functional team leadership. Desirable Skills: Experience with DCIM tools such as Nlyte. Previous involvement in audits More ❯

Azure cloud infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience: Ensuring the safe and reliable More ❯

Our client, a key player in the technology sector, is currently seeking a seasoned AI Architect to join their team on a contract basis. This role involves leading the design and further development of an existing AI/ML platform, enabling multiple teams to build secure, scalable, and automated AI solutions on Microsoft Azure. Key Responsibilities: Designing and developing a … robust AI/ML platform using Microsoft Azure Ensuring the platform is secure, scalable, and automated for long-term use Collaborating with cross-functional teams to implement AI solutions Integrating networking and DevOps best practices into the platform Managing the full lifecycle of AI models, from inception to deployment Maintaining cloud security and ensuring compliance with industry standards Providing thought … leadership and strategic direction for AI initiatives within the organisation Job Requirements: Experience in IT architecture with a focus on AI Deep expertise in Microsoft Azure's AI, networking, and DevOps ecosystem Proficiency in building enterprise-grade architecture solutions Strong understanding of cloud security and compliance requirements Ability to manage end-to-end AI model lifecycles Excellent problem-solving and More ❯