Remote AI Assurance Lead — Freelance

Intelance

Greater London

Remote

GBP 120,000 - 148,000

Full time

3 days ago
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Job summary

Intelance is a UK-based technology, AI and cyber assurance firm engaging in technology due diligence on sales and investments. The role focuses on verifying AI systems’ construction, testing, governance and data usage for clients in regulated sectors.

You will report to an engagement partner and collaborate with the technology due diligence lead to incorporate findings into final reports.

Qualifications

  • At least five years building, evaluating or assuring machine learning or language model systems.
  • Hands on experience of fine tuning open source language models and designing evaluation suites.
  • Working knowledge of ISO/IEC 42001, the NIST AI Risk Management Framework or the EU AI Act.
  • The ability to explain model risk in plain words to founders, buyers and lawyers.
  • Experience with health, clinical or other regulated data is a strong plus.
  • Experience of due diligence, audit or model validation work is a strong plus.

Responsibilities

  • Map where AI sits in a product: which steps are plain code, which use machine learning and which use language models.
  • Review how open source models are fine tuned, what data they learn from, and whether client contracts allow that use.
  • Test the evaluation approach: test suites, accuracy measures, human review rules and how failures are caught and fixed.
  • Check controls against prompt injection, data leaking between clients and tampering with models.
  • Check reliance on outside AI providers, and what data, if any, they receive.
  • Rate each finding by how it could affect the deal, and write clear, practical fixes.

Skills

ML model evaluation
Open source LLM fine-tuning
Model risk explanation
Regulatory frameworks familiarity
Regulated data handling

Job description

Intelance is a UK-based technology, AI and cyber assurance firm engaging in technology due diligence on sales and investments. The role focuses on verifying AI systems’ construction, testing, governance and data usage for clients in regulated sectors.

You will report to an engagement partner and collaborate with the technology due diligence lead to incorporate findings into final reports.

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