Location

• Location – Fully remote within UK territory

• Work Pattern - Monday to Friday, 9-5 working hours, with some flexibility

• eligibility to work in the UK
  

Role Overview

We are looking for a strategic and hands-on GeoAI architect who is focused on designing and delivering enterprise grade geospatial architectures and GeoAI solutions. The role bridges business goals with technical execution, leading client engagements from pre-sales through delivery, while also contributing directly as a software engineer on scalable geospatial components, API and data pipelines. The core emphasis of this role is on integrating geospatial data, satellite imagery and AI-driven analytics into enterprise system to deliver interpretable, actionable business outcomes.

The successful candidate will be responsible for leading the GeoAI solution architecture for clients, delivering cloud based geospatial platforms, prototypes and proof of concepts. There will be hands-on engineering, own GenAI client engagements and they will apply EO/geospatial expertise to identify high-value AI/analytics use cases across industries.

Beyond the core technical responsibilities, this role requires someone who can translate business goals into analytical/engineering work, ensuring smooth integration into enterprise workflows and stakeholder alignment. This person will communicate value clearly, ensuring outputs are interpretable and driving measurable results and adaptations.

Essential Key Skills and Responsibilities

You will:

• have deep geospatial and earth observation domain expertise

• have Geo data engineering background; geospatial standards/tech (STAC, OGC, WMS, WMTS, TiTiler, GeoServer)

• have cloud-native geospatial platforms and workflow orchestration (Kubernetes, Dask, Airflow, Flyte)

• have strong Python technical knowledge

• have cloud experience of AWS, Azure or GCP

• have some AI/ML experience

• have experience of designing GeoAI architectures combing ML models with geospatial pipelines

• have managed senior/lead level stakeholders, problem solving skills, build client relationships, manage client expectations and effective communication skills

Desirable Skills/Knowledge/Experience

• Docker and modern CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)

• Proven managements of GeoAI projects/teams and successful delivery outcomes.

• Degree in Business Administration, Computer Science, Engineering, or Geoinformatics/Earth observation (preferred)

Tools and Technology

• AI/Machine Learning

• Python

• Cloud (AWS, Azure or GCP)

• Kubernetes

• Sentinel/Landsat plus STAC and OGC

• U-Net

• Transformers

Experience

• A degree in Computer Science, Software Engineering, or a related field or similar work based experience.

• Proven experience as a Software Engineer, ideally with a focus on geospatial-related projects.

• Very good working knowledge of standard software development frameworks, techniques and methodologies.

• Experience with providing coaching and mentoring

• Ability to work collaboratively in a team, contributing to the development of business scenarios.

• Knowledge of software development tools and technologies.

• You are flexible and curious in your approach

• Strong analytical and problem-solving skills
  

Additional information

Duration of the contract: initially 6 months with the possibility of extension – contract FTC (full-time)

Application Process: In addition to our standard recruitment process (see below) you will be invited to a final online face-to-face meeting with our client, for you to meet them and learn more about the role.

Benefits

• 25 days holiday, plus bank holidays plus birthday paid each year

• Sick leave following probation (20 days per each rolling period each year)

• Pension contribution is 10% employer from qualifying earnings following auto enrolment after 3 months service

• Private medical insurance via Vitality after 6 months of service

• Life assurance (5 x salary) after 6 months' service

• Access to a free Eye voucher with Specsavers and a Flu vaccination with Boots

• Access to the cycle-to-work scheme

• Enhanced parental leave