GeoAI & Spatial Intelligence Lead

WSP in the UK & Ireland

Birmingham

Hybrid

GBP 70,000 - 100,000

Full time

30 hours ago

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Benefits offered by this job

Hybrid working policy

Thrive wellbeing programme

Gymflex scheme

Job summary

WSP in the UK & Ireland is seeking a Principal Geospatial Consultant to lead GeoAI and spatial intelligence projects within the Transformation & Digital Insights service line. You will design, build, and deploy advanced geospatial solutions across infrastructure, land, water, and environmental sectors, mentoring junior staff and shaping our GeoAI approach.

This hands-on role requires strong Python scripting, Esri platform expertise, FME, SQL, and a proactive problem-solving mindset.

Qualifications

Proven experience in GIS with Python development and automation.
Strong knowledge of ArcPy, ArcGIS API for Python, geopandas, shapely, rasterio, and GDAL.
Experience applying AI/ML to geospatial problems; deep learning frameworks (PyTorch or TensorFlow).

Responsibilities

Design and develop GeoAI solutions - including object detection, feature extraction, change detection, and predictive spatial modelling - using both Esri tools and open-source AI frameworks.
Write production-grade Python toolboxes, automation scripts, and spatial data pipelines for ArcGIS Pro, ArcGIS Enterprise, and SDE environments.
Integrate deep learning frameworks (e.g. PyTorch or TensorFlow) and ML libraries (such as scikit-learn or Hugging Face) into geospatial workflows to solve client-specific problems at scale.
Lead technical delivery on GeoAI project workstreams across utilities network analysis, land ownership and registry data, and water / environmental constraint modelling.
Collaborating with project managers and sector leads to scope, estimate, and quality-assure GIS and GeoAI deliverables.
Provide technical assurance and peer review of GeoAI and GIS outputs to ensure quality, robustness, and compliance with agreed standards.
Produce clear technical documentation and methodology reports, and present findings to both technical and non-technical stakeholders.
Mentor and support junior GIS analysts and developers, reviewing code and promoting best practices in spatial data science.
Stay current with Esri platform releases, emerging GeoAI tools, and relevant academic or industry research, contributing to internal capability development.