5 of 5 Contract Machine Learning Jobs in Wokingham

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 and compliance More ❯

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 operation of More ❯

DevOps practices. In-depth knowledge of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration projects. Familiarity with AI/ML applications for geospatial data quality and analytics. Proven ability to lead Agile delivery across cross-functional teams. Desirable Skills and Experience: Previous experience managing or supporting data centre operations. Proficiency More ❯

historical insights and data integrity Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualisation tools Support decision-making and public engagement through intuitive dashboards and maps Stakeholder Engagement & Use Case … cloud infrastructure and DevOps practices Strong understanding of geospatial technologies (eg, 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. Due to the volume of applications received, unfortunately we cannot respond to everyone. More ❯

insights and data integrity. 4. Data Governance & Quality Establish data stewardship processes and governance frameworks. Implement metadata standards, symbology conventions, and data validation mechanisms. Leverage automation and AI/ML for data quality improvement. 5. Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualization tools. Support decision-making and public engagement through intuitive dashboards and maps. 6. Stakeholder Engagement … infrastructure and DevOps practices. Strong understanding of geospatial technologies (eg, 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. This is an excellent opportunity on a great project of work, If you More ❯