Lead ML Engineer - Document AI & NLP (Part-Time, Remote)

Intelance; Remote; GBP 80,000 - 100,000; Part time

Job summary

A specialist architecture and AI consultancy is seeking a Lead ML Engineer to develop an AI-assisted clinical tool for human genetic testing. In this part-time contract role, you will design and implement the core ML/NLP infrastructure, with responsibilities that include document processing and model evaluation. Ideal candidates will have strong Python skills and a solid background in Machine Learning and NLP. The position is remote-friendly, requiring 2-3 days of work per week, with a competitive day rate and potential for extension based on project success.

Benefits

Real impact in healthcare AI

Flexible remote-first work

Competitive day rate

Qualifications

• 4 years of hands-on Machine Learning / NLP engineering experience.
• Strong Python skills with experience in modern ML / NLP stacks.
• Practical experience with document AI and text processing.
• Solid understanding of LLMs and prompt-based workflows.
• Experience building evaluation pipelines for model selection.

Responsibilities

• Design and implement the ML / NLP core of an AI‑assisted marking tool.
• Document work clearly including experiments and model choices.
• Support architect in designing explainability and audit.

Skills

Machine Learning

NLP

Python

OCR outputs

Document AI

Tools

PyTorch

TensorFlow

HuggingFace

spaCy

Job description

A specialist architecture and AI consultancy is seeking a Lead ML Engineer to develop an AI-assisted clinical tool for human genetic testing. In this part-time contract role, you will design and implement the core ML/NLP infrastructure, with responsibilities that include document processing and model evaluation. Ideal candidates will have strong Python skills and a solid background in Machine Learning and NLP. The position is remote-friendly, requiring 2-3 days of work per week, with a competitive day rate and potential for extension based on project success.