workable
Senior Machine Learning Engineer
Zaizi
London, GBR
Full-time
Senior · 3+ years experience
Hybrid
Discovered 2 weeks ago
Gemma 3Llama 3LiteRTTensorFlow LiteONNX RuntimeExecuTorch
Free
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Gemma 3Llama 3LiteRT
Key Skills for This Role
Gemma 3Llama 3LiteRTTensorFlow LiteONNX RuntimeExecuTorch
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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/GPU hardware.
- Proficiency in Python and PyTorch/HuggingFace ecosystems.
- Data Structures & Knowledge Processing
- Solid foundation in natural language processing (NLP), semantic summarisation, and graph-based data structures (Graph DBs, vector embeddings, network analysis).
- Understanding of data serialization formats (Protobuf, JSON, XML) and streaming analytics.
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