Principal / Associate Geospatial Developer

Tetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our “Leading with Science” mantra for our clients.

Principal / Associate Geospatial Developer (GIS/AI/ML) – Manchester or Southampton

Tetra Tech is looking for a Principal / Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our “Leading with Science” mantra for our clients.

Why this is a great opportunity for you:

•       Shape the Future: Lead the design and delivery of next-generation geospatial AI/ML systems that will transform how clients in nuclear, defence, water and beyond manage critical infrastructure.

•       Work with the Best: Collaborate daily with a vibrant, multi-disciplinary team of consultants including geospatial experts, data scientists and engineers, sharing ideas and driving innovation across the globe.

•       Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics.

•       Diverse, High-Impact Projects: From single-discipline proofs-of-concept to large scale multi-sector deployments, you’ll tackle a broad array of challenges in exciting locations - no two days are the same.

•       Influence & Grow: You will help shape and deliver our geospatial strategy, define best practices, mentor colleagues, lead new initiatives and directly contribute to our global success.

If you’re passionate about GIS, AI, and Machine Learning, thrive in dynamic teams and want to make a real-world impact with geospatial technology, we want to hear from you.

The role will involve contributions across Geospatial & Data Engineering, AI & Innovation, and Collaboration & Leadership:

•       Collaborating with Tetra Tech’s digital solutions teams across the globe.

•       Leverage and fine-tune foundation models and AI/ML techniques to advance geospatial analytics, automation, and digital transformation within the Geospatial and wider Asset Management Business Unit.

•       Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and workflow optimisation.

•       Develop user-friendly tools and analyses, automating data ingestion, transformation, and loading using Python.

•       Build reproducible workflows and apply software engineering best practices, including CI/CD and version control.

•       Design, implement and optimise business Extract, Transform and Load (ETL) pipelines.

•       Collaborate on data modelling, storage and integration to support both geospatial and data science teams.

•       Communicate effectively with technical and non-technical audiences through presentations, workshops, and client engagements.

•       Stay current with geospatial and AI/ML industry trends and technologies.

•       Document code, processes, and findings to support reproducibility, transparency, and knowledge sharing.

•       Contribute to the growth and direction of the team by mentoring, improving processes, and fostering collaboration.

About you

Essential Skills:

•       A relevant degree in GIS, computer sciences, geography or other relevant subject, with advanced knowledge of GIS software or work experience and qualifications reflecting a similar level of expertise.

•       Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise.

•       Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability.

•       Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries.

•       Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends.

•       Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. 

•       Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git).

•       AI literacy, with the ability to communicate concepts clearly and support skill development across the Asset Management team.

•       Suitability for security clearance.

Desirable Skills, but not essential:

•       Proficiency in Arcade scripting across ESRI runtime environments.

•       Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps

•       Knowledge of geospatial data warehousing and analytics.

•       Familiarity with leading AI/ML platforms and libraries

•       Experience building and scheduling ETL workflows.

•       Knowledge of spatial data management and geospatial queries.

•       Experience with containerised application development (e.g. Docker).

•       Experience in a consultancy environment, with the ability to embed within multidisciplinary teams, engage stakeholders, and deliver workflow optimisation

•       Experience designing mobile friendly React applications and deploying them through enterprise platforms (e.g., Intune).

•       Awareness of Microsoft Fabric and its role in modern data architecture and analytics.