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AI Engineer for Spatial Intelligence

City of Edinburgh
Posted about 12 hours ago
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AI Engineer for Spatial Intelligence

European Tech Recruit are working closely with a leading telecommunications company, based in Edinburgh, who are looking for a talented AI Engineer for Spatial Intelligence to join their world-leading research center.

In this role you will help to bridge the gap between physical environment sensing and on-device Personal Intelligence. In this role, you will develop the critical foundation models that allow consumer devices to understand their physical surroundings and retrieve relevant local data. You will be at the forefront of building the next generation of maps, entirely powered by edge-AI.

Responsibilities as AI Engineer for Spatial Intelligence:

  • Foundation Models Optimization: Deploy and fine-tune multimodal models for consumer-grade edge hardware and highly specialized use cases.
  • Spatial Systems: Build prototypes to translate geospatial data into structured formats optimized for LLM reasoning.
  • Vector Search: Design high-performance data retrieval solutions optimized for distributed spatial and geographic data.
  • Thematic Mapping: Create data pipelines to enrich traditional mapping systems with real-time semantic context.
  • Demo Development: Produce fully functional solution to demonstrate viability of concepts or new model abilities.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Requirements:

  • Education: Degree in Computer Science, Robotics, Engineering, or equivalent practical experience.
  • AI & Machine Learning: Strong experience working with LLMs, foundation models, or multimodal AI architectures.
  • Data Experience: Solid understanding of geospatial data, vector embeddings, or semantic search.
  • Edge Computing: Familiarity with running models under local hardware constraints (e.g., ONNX, TensorRT, CoreML).
  • Programming Proficiency: Advanced skills in orchestration frameworks such as: Pydantic AI, AutoGen, or LangGraph.

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If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.

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Skills

AI
Machine Learning
LLMs
Foundation Models
Multimodal AI
Geospatial Data
Vector Embeddings
Semantic Search
Edge Computing
ONNX
TensorRT
CoreML
Pydantic AI
AutoGen
LangGraph

Location

City of Edinburgh, Scotland, United Kingdom

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