AI Ethics, Governance & Guardrails
Posted 1 week ago by MBN Solutions
Negotiable
Undetermined
Undetermined
England, United Kingdom
Summary: The role involves designing and implementing practical AI ethics and governance guardrails for a business, focusing on operationalizing AI responsibly. The contractor will address critical areas such as bias, model transparency, data privacy, and regulatory compliance. This position emphasizes the importance of robust AI governance in live environments. Candidates with expertise in Responsible AI and related fields are encouraged to apply for this contract opportunity.
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 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, Model Risk, and AI Governance.
- Knowledge of regulatory alignment and ethics at scale.
- Experience in designing practical AI controls for live environments.
- Strong understanding of bias, fairness, and model transparency.
- Familiarity with data privacy and security regulations.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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.