Amberes has partnered with an exciting Seed Funded AI start up, who are seeking a Machine Learning Engineer to support their building of the world’s most capable safe AI evaluation model. Their product makes it easier for developers to improve their GenAI applications through automated testing and evaluation through the training of LLMs.
In this role you will be responsible for scaling their fining-tuning and inference frameworks for LLMs.
As One Of The First Engineers, You Will Work Closely With The Existing ML Research Team To Define And Steer The Ever-evolving Inference And Training Stack. Alongside This You Will
Build a fine-tuning framework that can scale to the next order of training runs
Create high performance inference frameworks to ensure product reliability & speed
Work closely with the Research Team to find new synthetic data techniques
Lead and support the growth of the engineering organisation
Experience
Experience working with LLMs either professionally or personally
Python
ML Frameworks like Pytorch, TensorFlow etc
Experience improving Model Training Times
Experience in scaling fine-tuning and inference frameworks for LLMs
Created or managed HPC clusters that serve ML models at scale
Our client are looking for a truly exceptional ML Engineer who has made a significant contribution to their existing/previous organisation!
Why Join?
Be part of the Founding Team to help shape the product direction, company culture etc
Be part of an incredibly high performing team – the brightest AI minds who have come from some of the biggest names
Future leadership opportunity (if desired)
Very generous equity package
This position will be based at the Client’s HQ in Central London, 4 days per-week in office and can offer full sponsorship visas & international relocation support as a UK AI Futures partner).
If you believe this role suits your experience, we would love to accept your application.
