At a Glance
- Tasks: Design and deliver innovative GeoAI solutions while leading client engagements.
- Company: Join a forward-thinking tech company focused on geospatial architecture.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a generous pension scheme.
- Other info: Flexible remote work with opportunities for career growth and development.
- Why this job: Make a real impact by integrating AI with geospatial data in a dynamic environment.
- Qualifications: Experience in Python, cloud platforms, and geospatial standards is essential.
The predicted salary is between 36000 - 60000 € per year.
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 systems 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, owning GenAI client engagements and applying 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
- Deep geospatial and earth observation domain expertise
- Geo data engineering background; geospatial standards/tech (STAC, OGC, WMS, WMTS, TiTiler, GeoServer)
- Cloud‐native geospatial platforms and workflow orchestration (Kubernetes, Dask, Airflow, Flyte)
- Strong Python technical knowledge
- Cloud experience of AWS, Azure or GCP
- Some AI/ML experience
- Experience of designing GeoAI architectures combining ML models with geospatial pipelines
- 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 management 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, 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
Python Azure GCP GeoAI Architect (remote) - FTC [UK] UK UK in London employer: Spyro Soft
Join a forward-thinking company that values innovation and collaboration, offering a fully remote working environment within the UK. With a strong emphasis on employee growth, we provide extensive benefits including generous holiday allowances, private medical insurance, and a supportive work culture that encourages continuous learning and development in cutting-edge GeoAI technologies. Our commitment to work-life balance and flexible hours ensures that you can thrive both personally and professionally while making a meaningful impact in the geospatial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Python Azure GCP GeoAI Architect (remote) - FTC [UK] UK UK in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GeoAI projects, especially those involving Python and cloud platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to geospatial architecture and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join us!
We think you need these skills to ace Python Azure GCP GeoAI Architect (remote) - FTC [UK] UK UK in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Python Azure GCP GeoAI Architect. Highlight your geospatial expertise, cloud experience, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about GeoAI and how your background makes you a perfect fit for this role. Don’t forget to mention specific experiences that demonstrate your problem-solving skills and client management abilities.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in Python, cloud platforms like AWS, Azure, or GCP, and any AI/ML experience. We love seeing concrete examples of how you've applied these skills in past projects!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Spyro Soft
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, cloud platforms like Azure and GCP, and geospatial standards. Be ready to discuss how you've used these technologies in past projects, especially in relation to GeoAI solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Highlight your experience with integrating geospatial data and AI-driven analytics, and be ready to explain your thought process during these challenges.
✨Communicate Clearly and Effectively
Since this role involves managing client expectations and stakeholder alignment, practice articulating your ideas clearly. Use simple language to explain technical concepts, ensuring that your audience understands the value of your work.
✨Demonstrate Your Collaborative Spirit
Be prepared to discuss how you've worked in teams, especially in a remote setting. Share experiences where you contributed to team success, coached others, or built strong relationships with clients to show you're a team player.
