AI Ethics, Governance & Guardrails

AI Ethics, Governance & Guardrails

Posted 5 days ago by MBN Solutions

Negotiable
Undetermined
Undetermined
England, United Kingdom

Summary: The role involves designing and implementing practical AI ethics and governance guardrails for organizations operationalizing AI. The focus is on creating robust controls that address bias, transparency, data privacy, and regulatory compliance. Candidates with expertise in Responsible AI, Model Risk, and AI Governance are encouraged to apply for this contract opportunity. The position emphasizes the importance of building AI systems safely and responsibly.

Key Responsibilities:

  • Design and implement practical, production-ready AI ethics and governance guardrails.
  • Address issues of bias, fairness, model transparency, and explainability.
  • Ensure data privacy and security compliance.
  • Prepare organizations for regulatory readiness, including the EU AI Act.
  • Facilitate human-in-the-loop decision-making processes.
  • Establish clear escalation paths and audit trails.

Key Skills:

  • Expertise in Responsible AI and AI Governance.
  • Experience with Model Risk and Regulatory Alignment.
  • Strong understanding of ethical considerations in AI.
  • Ability to implement practical controls in live environments.
  • Knowledge of data privacy and security regulations.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

AI Ethics, Governance & Guardrails - Contract Opportunity

AI Ethics. Guardrails. Governance.

I’m supporting a business that urgently needs an experienced Data / AI Ethics & Governance Contractor to design and implement practical, production-ready guardrails – not academic theory, but controls that genuinely stand up in live environments.

As organisations race to operationalise AI, the focus is shifting fast from capability to responsibility:

  • Bias & fairness
  • Model transparency & explainability
  • Data privacy & security
  • Regulatory readiness (EU AI Act, etc.)
  • Human-in-the-loop decisioning
  • Clear escalation paths & audit trails

In short: robust AI governance is no longer a “nice to have” – it’s mission-critical.

If you specialise in Responsible AI, Model Risk, AI Governance, Regulatory Alignment, or Ethics at scale, and you’re open to contract work, I’d love to connect.

The next phase of AI leadership won’t be defined by who moves fastest…

…but by who builds it safely, responsibly, and sustainably.