Senior Machine Learning Engineer

Machine Learning Engineer (Infrastructure) – Startup LLM – up to £200k +equity – London

**This is a London based position and we are able to offer sponsorship and relocation support for candidates.

Do you have experience with optimization and quantization for ML models on HPC 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 challenge

We’re a young start up, putting together our founding team to join us in building an application to train and evaluate LLM 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 you

You’ll have experience setting up and managing multi node HPC 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 cluster
• Familiar with inference servers such as multi-LoRa, LoRA Exchange, TitanML etc
• Experience with Multi node Orchestration tools like SLURM, Ray etc
• Experience optimizing GPU

Whats in it for me?

Asa 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 £125-£200k, 4% employer contribution towards pension and 25 days holiday.

holidays - 25 days

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 mo@mbnsolutions.com
• Call me on 02037736498