Oliver BernardAbout this role
Machine Learning Engineer | Up to £180k + Equity | London, 5 Days Onsite
We're working with a well-funded London AI startup building complex production ML systems for major global organisations.
The business is tackling a technically difficult problem that sits across large-scale modelling, LLMs and real-world decision support.
They've already secured strong commercial traction, are backed by leading investors, and are now expanding the engineering team around the core ML platform.
This role is focused on taking ambitious research ideas and turning them into reliable production systems.
The Role
You'll sit between research and engineering, owning the path from ML prototype through to deployment, optimisation and scale.
Responsibilities
Take new ML research from prototype through to productionFine-tune, post-train and distil language modelsBuild and optimise inference systems at scaleDesign data pipelines for large, messy real-world datasetsImprove model performance, latency and costOwn ML systems end-to-end from experimentation through deployment
Requirements
2+ years shipping ML systems in a startup or high-ownership environmentStrong experience with deep learning and language modelsHands-on experience with fine-tuning, RL, distillation or model post-trainingStrong Python engineering skillsExperience deploying models used by real customers, within a startup or fast growing scale-up environment. Strong academic pedigree with a bachelors degree from a top university.
Sponsorship is available for strong candidates.
Tech
Python, LLMs, fine-tuning, RL, model distillation, distributed training, inference optimisation, data pipelines.
Location
London, 5 days per week onsite.
Package
Up to £180,000 depending on experience plus equity.
Company:
Oliver Bernard
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying