Machine Learning Engineer

In this role you will design and productionize ML models for demanding real-world defence applications, including building LLM-based agents and handling multimodal data. You will collaborate with cross-functional teams to improve performance, efficiency, and reliability from experimentation to production. The role offers the chance to work on cutting-edge systems that scale in constrained environments and directly impact national security. This is a VC-backed start-up environment where you shape impactful, deployment-ready ML solutions.

• Design, develop and optimise advanced ML models for real-world applications
• Build LLM-based agents capable of reasoning, planning and executing complex tasks
• Work across multimodal learning, computer vision and real-time sensor data
• Improve model performance, inference efficiency and reliability
• Take ownership of systems from experimentation through to production deployment
• Solve scalability, robustness and deployment challenges in constrained environments

• Strong foundations in machine learning, deep learning and applied mathematics
• Experience training, fine-tuning or deploying production-grade models
• Excellent programming skills in Python; Rust/C++/Java advantageous
• Strong experience with PyTorch, JAX or TensorFlow
• Knowledge of LLMs, transformer architectures, model optimisation or agentic systems
• Ability to turn complex research into reliable, production-ready software

• Python
• Rust
• C++
• Java
• PyTorch
• JAX