At a Glance
- Tasks: Join a cutting-edge team to develop AI models for geospatial data and environmental perception.
- Company: World-leading tech company with a focus on innovation in Edinburgh.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic lab environment with a strong emphasis on collaboration and creativity.
- Why this job: Be at the forefront of AI technology and shape the future of consumer electronics.
- Qualifications: Master’s or PhD in relevant fields and experience with foundation models and AI architectures.
The predicted salary is between 60000 - 80000 £ per year.
You will be joining an established team within a world-leading technology company at their lab in Edinburgh. We are looking for a visionary engineer to pioneer the intersection of environmental perception and on-device machine intelligence. You will be instrumental in developing the fundamental models that empower consumer electronics to comprehend their physical environment and interpret localized data, effectively creating the next generation of map architectures driven exclusively by edge computing.
As an AI Engineer your responsibilities will include:
- Multimodal Model Optimization: Adapt and refine sophisticated foundational models to perform effectively on consumer-grade edge hardware, tailored for specific, high-stakes application environments.
- Geospatial Reasoning Systems: Architect prototypes that convert complex geographic data into structured, actionable formats capable of being processed by Large Language Model (LLM) reasoning engines.
- High-Performance Vector Retrieval: Develop advanced data retrieval frameworks that are specifically tuned for distributed spatial and geographic datasets.
- Semantic Enrichment Pipelines: Build and manage data flows that integrate real-time semantic context into traditional mapping systems.
- Proof-of-Concept Development: Engineer comprehensive, operational demonstrations to validate new model capabilities and conceptual frameworks.
As an AI Engineer your skills will include:
- Master’s or PhD in Robotics, Computer Science, Engineering or a related discipline.
- Deep practical experience in working with foundation models, LLMs, or complex multimodal AI architectures.
- Strong technical grasp of semantic search, vector embeddings, and geospatial data structures.
- Proven familiarity with optimizing and executing models within local hardware limitations using frameworks such as TensorRT, ONNX, or CoreML.
- Proficiency in modern AI orchestration and agentic frameworks, specifically including AutoGen, LangGraph, or Pydantic AI.
Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!
Key words – Spatial Intelligence / Geospatial Data / Robotics / Mapping / Navigation / Semantic Search / LLMs / Foundation Models / Multimodal Learning.
AI Engineer - Foundation Models / Geospatial Data in Edinburgh employer: European Tech Recruit
Join a world-leading technology company in Edinburgh, where innovation meets environmental perception. As an AI Engineer, you'll thrive in a collaborative work culture that prioritises employee growth and offers unique opportunities to pioneer cutting-edge geospatial technologies. With access to state-of-the-art resources and a commitment to professional development, this role promises a meaningful and rewarding career path in the heart of Scotland's tech hub.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Foundation Models / Geospatial Data in Edinburgh
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We think you need these skills to ace AI Engineer - Foundation Models / Geospatial Data in Edinburgh
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at European Tech Recruit. 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 European Tech Recruit
✨Brush Up on Your Statistics
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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
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✨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.
