At a Glance
- Tasks: Join a leading tech team to develop AI models for consumer electronics and geospatial data.
- Company: World-leading technology 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 exciting projects and career advancement potential.
- Why this job: Be at the forefront of AI and environmental tech, making a real-world impact.
- 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.
AI Engineer – Foundation Models / Geospatial Data 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 development, offering unique opportunities to pioneer cutting-edge technologies in geospatial data and machine intelligence. With a commitment to fostering creativity and providing access to advanced resources, this role promises a meaningful and rewarding career path in a vibrant city known for its rich history and dynamic tech scene.
