Head of ML Engineering

Head of ML Engineering

London – 4/5 days on site

~£280k + significant equity

• London based AI startup with Series A lined up for 2025.
• Fantastic opportunity to lead and scale an extremely talented ML engineering team.
• Split will be 60% hands-on / 40% leadership to start with.

This is a super exciting role that will see you drive the technical strategy and execution of language model training and deployment.

As the salary suggests, the bar is extremely high when it comes to engineering standards for this role.

The ideal background will be someone who has spent time at a FAANG company and multiple years at a high-growth AI startup. Experience working for one of the main AI Frontier Labs would be the icing on the cake.

Whatever your background, you will need to showcase your experience working with distributed training workloads and LLMs, ideally with a focus on 70B+ parameter models.

Essentials:

• Strong infrastructure background and experience managing and optimising large GPU clusters.
• Knowledge of network configuration, resource allocation, and fault tolerance.
• Experience fine-tuning LLM architecture, hyperparameters, and training techniques to achieve optimal performance on large-scale GPU clusters.
• Background designing and managing APIs that have been used to facilitate access to fine-tuned language models.
• Evidence of establishing a high-performing engineering culture and implementing engineering excellence across an organisation.

Given how specialised this role is, relocation packages are available.

Reach out to Jamie Forgan if your profile matches the above and we can find time to discuss the role and company in more detail.