Lead ML Engineer (Document AI NLP, Contract)

Intelance

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profile Job Location:

London - UK

profile Daily Salary: GBP 500 - 800
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Intelance is a specialist architecture and AI consultancy working with clients in regulated high-trust environments (healthcare pharma life sciences financial services). We are building a lean senior team to deliver an AI-assisted clinical tool for a UK-based organisation in human genetic testing. We are looking for a Lead ML Engineer who can turn messy real-world documents into reliable explainable model outputs. This is a contract / freelance role part-time (2-3 days/week) working closely with our AI Solution Architect and Data Engineer.

Tasks

  • Design and implement the ML/NLP core of an AI-assisted marking tool that:

Ingests clinical-style reports (PDF/Word) via an OCR parsing pipeline

Extracts relevant content and features

Applies a hybrid scoring approach (rules LLM / transformer models)

Outputs scores rationales and confidence levels.

  • Build and iterate prompting / few-shot setups and rule layers so that model behaviour is consistent predictable and easy to explain to assessors.
  • Work with the Data Engineer to define and consume clean structured inputs from the OCR/pipeline (schemas validation checks logging).
  • Implement evaluation pipelines: ground-truth comparisons error analysis per-criterion metrics and drift/robustness checks.
  • Optimise models for accuracy stability and cost (latency token usage throughput) within agreed constraints.
  • Support the architect and compliance lead in designing explainability and audit: what is logged what is shown to assessors and what evidence is retained for validation.
  • Package models behind clean interfaces (e.g. Python services APIs batch jobs) so they can be integrated with the rest of the system.
  • Participate in technical workshops with the client to walk through behaviour on real examples and collect feedback.
  • Document your work clearly: experiments model choices prompt patterns known limitations and recommended operating boundaries.

Requirements

Must-have

  • 4 years of hands-on Machine Learning / NLP engineering experience (not just research).
  • Strong Python skills and experience with at least one modern ML/NLP stack (PyTorch TensorFlow HuggingFace spaCy etc.).
  • Practical experience with document AI / text processing: PDFs OCR outputs long-form text classification or scoring of documents.
  • Solid understanding of LLMs and prompt-based workflows (e.g. OpenAI/Azure OpenAI Anthropic or similar) and how to mix them with rules / traditional models.
  • Experience building evaluation pipelines: test sets metrics error analysis and data-driven model selection.
  • Comfort working in environments where explainability auditability and consistency matter more than bleeding-edge novelty.
  • Ability to work independently in a small senior team take ownership of a problem and communicate clearly about trade-offs.
  • Available for 2-3 days per week on a contract basis working largely remotely in UK or close European time zones.

Nice-to-have

  • Prior work in healthcare life sciences clinical reporting or regulated industries.
  • Experience with Azure (Azure ML Azure Functions Azure OpenAI blob storage) or other major cloud providers.
  • Exposure to validation or quality frameworks (e.g. GxP ISO 15189 UKAS NHS IG).
  • Familiarity with MLOps practices (versioning deployment monitoring) even at a lightweight level.

Benefits

  • Real impact: build a production AI system that will support external quality assessment in human genetic testing.
  • Lean senior team: work directly with an AI Solution Architect experienced Data Engineer and the leadership team quick decisions minimal bureaucracy.
  • Remote-first flexible: work from anywhere compatible with UK business hours with a planned load of 2-3 days/week.
  • Contract / freelance: competitive day rate with the potential to extend into further phases and additional schemes if the pilot is successful.
  • Opportunity to help define reusable ML/NLP components that Intelance will deploy across multiple regulated AI projects.

We review every application personally. If theres a good match well set up a short call to walk through the project expectations and next steps.

Intelance is a specialist architecture and AI consultancy working with clients in regulated high-trust environments (healthcare pharma life sciences financial services). We are building a lean senior team to deliver an AI-assisted clinical tool for a UK-based organisation in human genetic testing. W...
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About Company

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Intelance is a strategic consultancy specialising in Enterprise Architecture, AI transformation, and cybersecurity. We help organisations design the systems, structures, and operating models needed to scale, secure, and lead in a volatile world. Our team combines TOGAF-based architect ... View more

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