Our client is a digital and technology consultancy serving the public sector.
We are seeking a Senior Machine Learning Engineer to lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines. In this role, you will transition state-of-the-art Small Language Models (SLMs) and knowledge graph pipelines into air-gapped, degraded, and bandwidth-constrained tactical hardware.
You will ensure all deployed AI capabilities comply with UK Defence standards for Dependable AI (JSP 936) , delivering deterministic, explainable, and human-in-the-loop decision-support tools for intelligence and operational users.
Requirements
Edge Model Optimization & Deployment: Quantize, fine-tune, and optimize open-source SLMs (e.g., Gemma 3, Llama 3) and vision-language models for execution on low-power edge runtimes (LiteRT / TensorFlow Lite, ONNX Runtime, ExecuTorch).
Knowledge Analytics & Graph Processing: Design, implement, and maintain lightweight on-device graph databases and relationship extraction pipelines (Python, Rust, or C++) to process structured and unstructured sensor data.
JSP 936 & AI Governance: Implement bounding guardrails, prompt evaluation, and anti-hallucination controls to ensure 100% compliance with MoD AI ethics, safety, and non-kinetic governance standards.
Data & MLOps Pipelines: Build reproducible model training, evaluation, and containerised deployment pipelines capable of operating in air-gapped or low-bandwidth environments.
Technical Client Advisory: Translate complex ML/AI concepts into clear technical recommendations for MoD stakeholders, DSTL assessors, and Prime contractors.
Required Qualifications & Experience
Defence & AI Governance
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 ).
ML & Edge Inference Mastery
3+ years of production experience deploying ML models to edge runtime environments (LiteRT/TFLite, ONNX, C++ bindings).
Experience in model quantization techniques (INT8, INT4, AWQ) and execution acceleration across NPU/GP...
Senior Machine Learning Engineer in East Kilbride employer: Hackajob
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