Aws Engineer, DevOps, Machine Learning

MLOps Engineer (Infrastructure) – Robotics AI – up to £200k +equity – London Hybrid Do you have experience setting up and optimizing training pipelines? Do you have experience in end2end development of AI models (Computer Vision, LLMs, Reinforcement Learning)? Are you excited by the thoughts of competing with Microsoft, Jeff Bezos and OpenAI? We’ve developing AI robots to do day-to-day human tasks and looking for an experienced Machine Learning Ops Engineer to develop our MLOPs platform, improve model performance and optimise models for deployment on edge devices. You’ll have experience designing data pipelines, GPU optimization and Inference scaling, setting up ML infrastructure and deploying AI models. Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet, Ansible etc) Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc As a start-up, we offer a generous base salary, flexible hybrid working (3 days a week in our London office), 28 days holiday and equity within the business.