Edge AI Architect: Defence-Grade ML & Graphs

Zaizi Ltd

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Competitive Pay
Loyalty Pension (up to 8%)
Group Life Assurance
Hybrid working with WFH setup
5 days paid study leave
Personal Choice fund £500

Job summary

Zaizi Ltd. seeks a Senior Machine Learning Engineer to lead edge-native AI model design, quantization, and deployment for air-gapped environments, aligned with UK Defence standards.

You will translate state-of-the-art LLMs and knowledge-graph pipelines into constrained hardware while ensuring governance, safety, and human-in-the-loop decision-support for MoD stakeholders and prime contractors. Responsibilities include edge optimization, graph processing, AI governance, MLOps in low-bandwidth

Qualifications

  • Active UK SC Clearance (minimum).
  • Strong understanding of AI safety, non-repudiation, and human-in-the-loop operational constraints (JSP 936 V1.1 / Dependable AI).
  • 3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings).
  • Experience with model quantization techniques (INT8, INT4) and acceleration on NPU/GPU hardware.

Responsibilities

  • Edge Model Optimization & Deployment: Quantize, fine-tune, and optimize open-source SLMs and vision-language models for edge runtimes.
  • Knowledge Analytics & Graph Processing: Design and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust, or C++).
  • JSP 936 & AI Governance: Implement bounding guardrails, prompt evaluation, and anti-hallucination controls for compliance.
  • Data & MLOps Pipelines: Build reproducible training, evaluation, and containerised deployment pipelines for air-gapped environments.
  • Technical Client Advisory: Translate ML/AI concepts into clear recommendations for MoD stakeholders and Prime contractors.

Skills

AI governance understanding
Edge ML deployment
Python
PyTorch/HuggingFace
NLP & graph processing

Education

UK SC Clearance

Tools

LiteRT
TensorFlow Lite
ONNX Runtime
ExecuTorch
Chaquopy/JNI

Job description

Zaizi Ltd. seeks a Senior Machine Learning Engineer to lead edge-native AI model design, quantization, and deployment for air-gapped environments, aligned with UK Defence standards.

You will translate state-of-the-art LLMs and knowledge-graph pipelines into constrained hardware while ensuring governance, safety, and human-in-the-loop decision-support for MoD stakeholders and prime contractors. Responsibilities include edge optimization, graph processing, AI governance, MLOps in low-bandwidth

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