> Markdown version of [/jobs/ext/4663719-lead-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4663719-lead-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Machine Learning Engineer - **Company:** The Hexwired Recruitment Agency - **Location:** London, United Kingdom (Remote available) - **Experience:** Expert - **Salary:** £200,000 - £300,000 - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, C++ (Programming Language), Linux on Embedded Systems, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Systems Architecture, Large Language Models, Golang - **Published:** November 11, 2026 - **Apply:** https://hexwired.com/job/lead-machine-learning-engineer-remote/ ## About the Role * Strong Python programming skills and experience building production-ready software * Practical experience working with LLMs and modern machine learning techniques * Solid understanding of machine learning fundamentals, deep learning and neural network architectures as a Lead Machine Learning Engineer * Ability to write clean, maintainable code and troubleshoot complex technical issues * Understanding of model reliability, performance optimisation and deployment * Experience providing technical leadership to ML engineers as a Lead Machine Learning Engineer, including mentoring and guiding them through technical design * Ability to make architecture decisions and design ML system architecture as the Lead Machine Learning Engineer * Experience leading code reviews and setting engineering standards across a team * Ability to work with research and application engineering teams to improve model performance in production * A proactive approach to problem-solving and the ability to thrive in a fast-paced environment ## Description As Lead Machine Learning Engineer, you will take ownership of machine learning projects from experimentation through to production, building reliable, scalable systems using Python and Large Language Models (LLMs).