Job Description

Roles & Responsibilities

Develop and implement AI and ML models to automate geospatial data processing and analysis.

Research and integrate advanced AI techniques, such as computer vision and natural language processing, into geospatial workflows.

Collaborate with GIS teams to identify opportunities for AI-based innovation in geospatial applications.

Design and manage algorithms to extract meaningful insights from satellite imagery, vector data, and other geospatial datasets.

Ensure AI solutions comply with geospatial data standards and organisational requirements (e.g. NSG, ISO, NATO STANAG and OGC).

Maintain an understanding of emerging trends in AI, ML, and geospatial technologies to recommend and adopt new tools and approaches.

Provide training and mentorship to staff on AI technologies and their application in geospatial intelligence.

Work closely with stakeholders to align AI solutions with operational needs and mission objectives.

Support the transition of the organisation from the Current Operational Model (COM) to the Target Operational Model (TOM).

Desired Candidate Profile

Essential

• Bachelor s degree in Information Systems, Artificial Intelligence, Computer Science, or a related field.

• Professional certification in AI/ML or data science (e.g. TensorFlow Developer, AWS AI/ML or similar)

• Proven track record of developing and deploying AI models for geospatial data analysis.

• Proficient in programming languages such as Python, R, or Java, with a focus on AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn).

• Strong understanding of geospatial principles, tools and technologies, including GIS software and spatial databases.

• Substantial experience in GIS, or a related field with a focus on AI/ML applications.

• Familiarity with geospatial data standards (e.g. NSG, ISO, IHO, NATO STANAG, OGC).