Machine Learning Engineer (Agentic)

Machine Learning Engineers - are you tired of building LLM wrappers? I'm working with a well-funded, VC-backed Defence AI start-up building intelligent systems designed to operate in complex, real-world environments. We're talking LLMs, autonomous agents, deep learning, multimodal AI and decision-making systems - where model performance, reasoning, reliability and efficiency aren't just nice-to-haves. They're fundamental to whether the technology works. 🧠 The technical challenges? → Building autonomous agents that can reason, plan and make decisions in dynamic environments. → Developing and optimising deep learning and multimodal models. → Working with real-world sensor data and complex, imperfect information. → Training, fine-tuning and improving models — not just calling an API. → Bridging the gap between cutting-edge ML research and robust, production-ready systems. Who would be a strong fit? - Engineers with solid foundations in machine learning, deep learning and Python, ideally with hands-on experience in PyTorch or JAX. - You might be working in an AI research lab, an autonomous systems company, a high-performance engineering environment or an ambitious AI start-up. - A PhD or publications at NeurIPS, ICML or ICLR would be great, but they're absolutely not essential. - What matters is your ability to tackle difficult ML problems, think from first principles and turn ambitious ideas into systems that actually work. 📍 UK | Office-first with flexibility 🔒 UK right to work and SC clearance eligibility required