> Markdown version of [/jobs/ext/1912971-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/1912971-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). --- # Machine Learning Engineer - **Company:** Understanding Recruitment - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Infrastructure, Python (Programming Language), Machine Learning, Robotic Automation Software, Deep Learning, Build Tools - **Published:** August 4, 2026 - **Apply:** https://www.understandingrecruitment.com/job/machine-learning-engineer-9172/ ## About the Role * Strong Python and deep learning experience * Excellent understanding of optimisation and model performance * A mathematical approach to solving complex problems * Curiosity, ambition and the ability to thrive in an early-stage environment ## Description Machine Learning Engineer Build the models that power the next generation of intelligent robots. If you're excited by the idea of training models that interact with the physical world-not just language-you'll be joining one of the UK's most ambitious AI startups at an incredibly early stage. You'll help build the training systems, evaluation pipelines and data infrastructure that allow robots to learn faster with every iteration. Based on the uploaded job specification. What's in it for you? * Founding engineering opportunity with meaningful equity * Train cutting-edge vision-language-action and world models * Work directly with real robotic hardware * Build systems that move from research into production quickly * Shape the future of Physical AI alongside an exceptional founding team What you'll be doing * Training and fine-tuning large-scale machine learning models * Building high-performance training and evaluation pipelines * Improving data quality and experimentation workflows * Optimising model performance and iteration speed * Testing models on real robotic systems and feeding results back into development What you'll bring * Experience training production machine learning models * Strong Python and deep learning experience * Excellent understanding of optimisation and model performance * A mathematical approach to solving complex problems * Curiosity, ambition and the ability to thrive in an early-stage environment ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)