Senior Machine Learning Engineer

Job DescriptionMachine Learning Engineer (Infrastructure) – Startup LLM – up to £300k +equity – LondonDo you have experience setting up and optimizing training pipelines on GPU clusters?Are you passionate about building groundbreaking technology and shaping the future of AI?Are you excited by the thought of starting a company from the ground up? If so, we have the perfect opportunity for you.The challengeWe’re a young start up, putting together our founding team to join us in building an LLM to train and evaluate Gen AI applications, in order to be most efficient in compute usage, protect from vulnerabilities, reduce model failure and be aligned with human intent.There are 7 of us so far, with an aim to get to 15 by the end of the year. We’ve secured $5m in seed funding to kick us off and aim to go for Series A in early 2025!We’re looking for an experienced Machine Learning Engineer that have experience setting up multi node HPC clusters to enable people to ship their models faster and more efficiently.About youYou’ll have experience setting up and managing multi node GPU clusters, designing data pipelines, GPU optimization and Inference scaling.Here are some of things we’d expect you to have:Experience in setting up and managing multi node HPC clusterFamiliar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etcExperience with Multi node Orchestration tools like SLURM, Ray etcExperience optimizing GPUWhats in it for me?As a start-up, the fancier perks are in the pipeline but being a founding member you’ll receive substantial equity alongside a generous base salary of £200 - £300k, 4% employer contribution towards pension and 25 days holiday.Interested?If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me by the following:Email me at [email protected] me on 02037736498