Production ML Engineer - LLMs, Equity & London Onsite

Oliver Bernard; Greater London; On-site; GBP 162,000 - 198,000; Full time

Job summary

Oliver Bernard is partnering with a well-funded London AI startup to hire a Machine Learning Engineer. The role sits between research and production, turning ML prototypes into scalable systems deployed for real customers.

You will own end-to-end ML pipelines, from experimentation to deployment, with emphasis on fine-tuning language models, inference optimization and cost reduction. The role requires 2+ years shipping ML systems, deep learning and LLM experience, and a strong academic

Qualifications

• 2+ years shipping ML systems in a startup or high-ownership environments.
• Strong experience with deep learning and language models.
• Hands-on experience with fine-tuning, RL, distillation or model post-training.
• Sponsorship is available for strong candidates.

Responsibilities

• Take new ML research from prototype through to production.
• Fine-tune, post-train and distil language models.
• Build and optimise inference systems at scale.
• Improve model performance, latency and cost.
• Own ML systems end-to-end from experimentation through deployment.

Skills

Deep learning

Language models

Fine-tuning

RL

Model distillation

System deployment

Education

Bachelor's degree (top university)

Tools

Python

Distributed training

Inference optimization

Data pipelines

LLMs

Job description

Oliver Bernard is partnering with a well-funded London AI startup to hire a Machine Learning Engineer. The role sits between research and production, turning ML prototypes into scalable systems deployed for real customers.

You will own end-to-end ML pipelines, from experimentation to deployment, with emphasis on fine-tuning language models, inference optimization and cost reduction. The role requires 2+ years shipping ML systems, deep learning and LLM experience, and a strong academic