> Markdown version of [/jobs/ext/2813254-senior-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2813254-senior-ml-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). --- # Senior ML Engineer - **Company:** TechTree - **Location:** Greater London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Nvidia CUDA, Software Debugging, Software Deployment, Software Engineering, Pytorch, Deep Learning, Machine Learning Operations, Data Pipelines - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840601519-senior-ml-engineer ## About the Role * Expertise in designing, architecting, and implementing large-scale foundation models * Significant hands-on experience optimising and debugging deep learning models * Practical experience with distributed or large-scale training and inference * Deep understanding of at least one major deep learning framework (ideally PyTorch) * Experience building and operating ML systems on cloud platforms * Passion and determination * Able to grind through complicated and ambiguous problems * Delivery-oriented; respects timelines and commitments * Openness to disagreement * Onsite work in London preferred - remote work with visits in office once a month acceptable ## Description * Lead the research, development, and production deployment of Hypercritical's foundation model. * Define the long-term technical strategy for high-performance Machine Learning systems. * Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. * Serve as the technical guardian for the model's quality and Service Level Objectives (SLOs). * Provide a hands-on solution architecture for the core ML infrastructure. * Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks). * Profile and optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. * Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. * Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. * Build internal tooling, benchmarks, and evaluation harnesses that make it easy for the rest of the team to experiment, debug, and ship safely. Why work with us: * You'll make a significant impact, getting in on the ground floor of a company that will alter software development forever. * You will shape how a never-before-seen foundation model is trained, optimized, and deployed. * Our level of transparency is unusual. No management jargon, you will get the simple truth, never a lie. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)