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AI Ethics Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Experis
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Data Security, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Overview

We are seeking a highly experienced Senior AI Ethics Lead to drive the organisation’s Responsible AI strategy, governance frameworks, and ethical assurance practices. This role is critical to ensuring our AI systems are transparent, fair, safe, and compliant with emerging UK, EU, and global regulations. You will work closely with senior leadership, data science teams, legal, risk, and external partners to embed ethical decision‑making across the full AI lifecycle.

Responsibilities

AI Governance & Ethical Frameworks

  • Lead the design, implementation, and continuous improvement of the organisation’s AI ethics and governance frameworks
    .
  • Define ethical standards, principles, and risk‑mitigation requirements for AI and data‑driven products.
  • Oversee ethical impact assessments, bias analysis, explainability reviews, and model assurance processes.

Regulatory & Compliance Leadership

  • Interpret and implement regulatory requirements including the EU AI Act
    , UK government guidance, sector‑specific regulation (FS, healthcare, public sector), and global best practices.
  • Partner with Legal, Compliance, and Risk to ensure responsible deployment of AI systems.

Cross‑Functional Stakeholder Engagement

  • Serve as the subject‑matter expert on AI ethics for senior executives, internal teams, and external clients.
  • Build strong partnerships across Data Science, Product, Engineering, Cybersecurity, and Policy teams to embed ethics‑by‑design.
  • Lead workshops, training, and awareness programmes promoting responsible AI practices.

Assurance, Monitoring & Governance Oversight

  • Establish ongoing monitoring frameworks for model fairness, drift, transparency, accountability, and human oversight.
  • Develop documentation standards including model cards, governance reports, and audit trails.
  • Support incident reporting and response processes for AI‑related ethical or compliance issues.
  • Shape long‑term Responsible AI strategy in alignment with business priorities and emerging technologies (GenAI, LLMs, automated decision‑making).
  • Stay ahead of global standards, ethics research, and regulatory evolution, advising leadership on impacts and opportunities.
  • Represent the organisation in professional forums, working groups, industry events, and external partnerships.
  • 7–10+ years’ experience in AI Ethics, Responsible AI, Data Governance, Risk, Policy, or related fields
    .
  • Deep understanding of AI governance, fairness, transparency, bias mitigation, and model assurance.
  • Strong capability working with data science and technical teams; able to translate ethical principles into practical workflows.
  • Experience with regulatory frameworks such as:
  • EU AI Act
  • UK AI Regulations & DPDI Bill
  • GDPR / data protection
  • Sector‑specific compliance (Financial Services, Public Sector, Healthcare)
  • Proven track record influencing senior stakeholders and driving organisation‑wide adoption of new standards.
  • Excellent communication skills with the ability to simplify complex AI risks for non‑technical audiences.
  • Experience contributing to AI standards bodies, ethics committees, or industry working groups (desirable).
Preferred Qualifications
  • Degree or postgraduate qualification in AI, Data Science, Ethics, Law, Public Policy, Computer Science, or similar.
  • Certifications in Responsible AI, Data Protection, or Risk Management (e.g., GDPR certs).
  • Publications, conference talks, or recognised contributions to Responsible AI research or industry practice.
What We Offer
  • Opportunity to influence and shape the organisation’s Responsible AI direction.
  • Work at the forefront of AI governance during a pivotal period of global regulatory evolution.
  • Hybrid London working model with flexibility.
  • Competitive salary, benefits, and progression opportunities.
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