At a Glance
- Tasks: Build AI applications using satellite data to solve real-world challenges.
- Company: Join Open Cosmos, a mission-driven company making space accessible.
- Benefits: Work with cutting-edge technology and a supportive, diverse team.
- Other info: Flexible location across Europe with excellent career growth opportunities.
- Why this job: Make a meaningful impact using AI and space tech.
- Qualifications: Strong understanding of AI, machine learning, and computer vision.
The predicted salary is between 60000 - 80000 £ per year.
Aim high, go beyond! At Open Cosmos we are solving the world’s biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on…
Working in our Data Division at Open Cosmos, our Data division transforms satellite data into meaningful insights that drive real-world impact. The team delivers all data products generated by Open Cosmos and its partners, curates and develops DataCosmos (our geospatial data platform) and builds integrations that make satellite imagery easy to access and act on.
You’ll be building practical AI applications using satellite and Earth Observation data, from computer vision models through to LLM-driven workflows, helping turn real customer problems into deployable solutions.
What will you be doing?
- Designing and delivering AI-powered pilots and applications using Earth Observation data
- Building computer vision models for detection, segmentation, and classification tasks
- Developing AI workflows that combine EO data with LLM orchestration and reasoning
- Implementing modern AI approaches including RAG, tool-calling, and multi-step workflows
- Integrating AI capabilities into the DataCosmos platform using scalable APIs and architecture
- Supporting deployment, containerisation, and production-readiness of AI solutions
- Collaborating with commercial teams, customers, and partners to solve real-world challenges
- Rapidly iterating on ideas and pilots based on feedback and evolving requirements
- Contributing reusable code, shared AI components, and best practices across the Data team
What You’ll bring
- Strong understanding of applied AI and machine learning techniques
- Ability to build computer vision solutions for image-based data
- Understanding of LLM systems, orchestration workflows, and retrieval-based approaches
- Ability to build end-to-end AI workflows and pipelines
- Familiarity with APIs, scalable systems, and AI integration into larger platforms
- Knowledge of containerisation and deployment concepts such as Docker
- Strong problem-solving skills and comfort operating in ambiguous, fast-moving environments
- A pragmatic, execution-focused mindset with a passion for experimentation and delivery
- Excellent collaboration and communication skills across technical and non-technical teams
- Excitement about using AI and space technology to create meaningful real-world impact
This role can be based in any of our European Locations. To apply, you must have the legal right to work in our chosen location. When applying, please submit your CV in English.
Why Open Cosmos?
- Work at the cutting edge of space technology with customers around the globe.
- A mission-driven company making space accessible to help solve real-world challenges.
- A diverse, ambitious, and supportive team.
Applied AI Engineer: Space & EO (Data) in Didcot employer: Open Cosmos
Open Cosmos is an exceptional employer for those passionate about space technology, offering a dynamic and inclusive work environment where innovation thrives. With a commitment to employee growth and development, team members are encouraged to collaborate across disciplines while tackling real-world challenges through cutting-edge satellite communications solutions. Join a diverse and ambitious team dedicated to making space accessible, all while enjoying the benefits of a supportive culture that values respect and belonging.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer: Space & EO (Data) in Didcot
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Open Cosmos!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied AI Engineer: Space & EO (Data) at Open Cosmos.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Open Cosmos.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Engineer: Space & EO (Data) at Open Cosmos, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied AI Engineer: Space & EO (Data) in Didcot
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Open Cosmos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Open Cosmos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Open Cosmos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Open Cosmos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
