Senior Machine Learning Engineer
Core
Lead the design, quantization, and deployment of edge-native AI models and knowledge analytics engines for air-gapped tactical hardware.
Role type
Senior Machine Learning Engineer (Edge AI & Knowledge Graphs)
Builds
Deterministic, explainable, human-in-the-loop decision-support tools for intelligence and operational users.
Domain
Defence & Intelligence / Edge AI / Knowledge Graphs
Deliverable
production ML models
Required skills
Model quantization (INT8, INT4, AWQ), Edge inference optimization, Python, PyTorch, HuggingFace, NLP, Graph databases, Vector embeddings, Streaming analytics, C++ bindings
Preferred skills
Android ART integration, Military sensor feeds processing, SIGRF data, Publications with DSTL/DAIC
Technologies
LiteRT, TensorFlow Lite, ONNX Runtime, ExecuTorch, Protobuf, JSON, XML
Responsibilities
Quantize and fine-tune open-source SLMs for low-power edge runtimes; Design and maintain on-device graph databases and relationship extraction pipelines; Implement AI governance guardrails and anti-hallucination controls; Build reproducible MLOps pipelines for air-gapped environments; Translate complex ML concepts to MoD stakeholders.
Seniority
Senior, hands-on IC
