AI/ML Engineer (Competitive) at Well-funded AI healthtech startup

Jack & Jill/External ATS; Greater London; Remote; GBP 60,000 - 80,000; Full time

Job summary

A well-funded AI healthtech startup in the UK is looking for an AI/ML Engineer to build and optimize large language models for medical text understanding. This role offers the opportunity to work on cutting-edge technology in healthcare AI with significant growth potential. The ideal candidate has strong experience in NLP/LLMs and a background in retrieval systems and healthcare coding.

Benefits

Opportunity to work on cutting-edge technology

Backed by top-tier VCs

High growth potential

Qualifications

• Strong experience in NLP/LLMs (PyTorch, Hugging Face, or equivalent).
• Background in retrieval systems, vector databases, and RAG pipelines.
• Understanding of healthcare coding standards (CPT, ICD-10, HCPCS).

Responsibilities

• Build and fine-tune large language models (LLMs) for medical text understanding.
• Implement retrieval-augmented generation (RAG) pipelines with vector databases.
• Optimize inference for speed and accuracy (quantization, distillation, GPU tuning).

Skills

NLP/LLMs (PyTorch, Hugging Face)

Retrieval systems

Vector databases

Healthcare coding standards (CPT, ICD-10, HCPCS)

Tools

Python

TensorFlow

Job description

Title

AI/ML Engineer (Competitive) at Well-funded AI healthtech startup

Job Title

AI/ML Engineer

Salary

Competitive

Company Description

Well-funded AI healthtech startup

Job Description

This role involves building and fine‑tuning large language models (LLMs) and implementing retrieval‑augmented generation (RAG) pipelines for medical text understanding. You will train and evaluate models on real clinical data, optimizing for speed and accuracy, collaborating with experts to deliver impactful production features in healthcare AI.

Location

Remote

Why this role is remarkable?

• Opportunity to work on cutting‑edge LLM and RAG technology in a critical domain.
• Backed by top‑tier VCs, focused on significant impact in healthcare AI.
• High growth potential within a pioneering AI healthtech startup.

What you will do

• Build and fine‑tune large language models (LLMs) for medical text understanding.
• Implement retrieval‑augmented generation (RAG) pipelines with vector databases.
• Optimize inference for speed and accuracy (quantization, distillation, GPU tuning).

The ideal candidate

• Strong experience in NLP/LLMs (PyTorch, Hugging Face, or equivalent).
• Background in retrieval systems, vector databases, and RAG pipelines.
• Understanding of healthcare coding standards (CPT, ICD‑10, HCPCS).

How to Apply

To apply for this job speak to Jack, our AI recruiter.

1. Visit our website.
2. Click 'Speak with Jack'.
3. Login with your LinkedIn profile.
4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
5. If the hiring manager would like to meet you, Jack will make the introduction.