AI GovernanceseniorLondon Area, United KingdomremotefulltimeStaffing and RecruitingPythonCI/CDMLOpsRAGVector databasesPolicy-as-CodeModel lifecycle managementPrompt injection detectionposted 27 Jul
π Job Title: Senior AI Governance Specialist - Technology - Full-time
π Location: London (but fully remote)
π Employment type: Full-time
π Environment: Technology Environment
About the Role
We are searching on behalf of our client for this role. This position is not with OVI.
We are seeking an experienced Senior AI Governance Specialist to lead the design, implementation, and continuous improvement of enterprise AI governance frameworks. This role is responsible for ensuring AI systems are developed, deployed, and operated in a secure, ethical, and compliant manner, aligning technical delivery with emerging global AI regulations and industry standards.
Key Responsibilities
β’ Lead the development and implementation of AI governance strategies, policies, and operational controls across AI and machine learning initiatives.
β’ Design and implement Policy-as-Code frameworks, automated governance controls, and runtime guardrails integrated within modern CI/CD pipelines.
β’ Establish governance processes covering model lifecycle management, explainability, auditability, risk assessment, and regulatory compliance.
β’ Oversee AI risk assessments, model validation, and governance reviews to identify operational, ethical, and security risks.
β’ Define governance standards for data lineage, provenance, model versioning, and AI documentation.
β’ Implement Human-in-the-Loop (HITL) oversight processes for high-risk AI applications and autonomous systems.
β’ Develop AI governance metrics, dashboards, and audit reporting to support executive decision-making and regulatory readiness.
β’ Partner with engineering teams to ensure governance controls are embedded throughout software development and MLOps workflows.
β’ Conduct AI security reviews, including assessments for prompt injection, model drift, adversarial attacks, and algorithmic bias.
β’ Support internal and external audits by maintaining governance evidence, control documentation, and remediation plans.
β’ Monitor emerging AI legislation and industry standards, ensuring governance frameworks remain aligned with evolving regulatory requirements.
Your Profile
β’ Extensive experience delivering AI Governance, AI Risk Management, or Responsible AI programmes within enterprise environments.
β’ Strong understanding of AI governance frameworks including the EU AI Act, NIST AI Risk Management Framework (AI RMF), and ISO/IEC 42001.
β’ Experience implementing governance controls across AI, machine learning, and large language model (LLM) solutions.
β’ Knowledge of MLOps, CI/CD pipelines, and software engineering practices.
β’ Strong understanding of AI security, model lifecycle management, explainability, and governance-by-design principles.
β’ Experience working with Python, APIs, and modern AI frameworks.
β’ Familiarity with vector databases, Retrieval-Augmented Generation (RAG) architectures, and enterprise data governance.
β’ Experience collaborating with security, compliance, legal, engineering, and executive stakeholders.
β’ Excellent communication and stakeholder management skills with the ability to influence governance strategy across technical and business teams.
What's Offered
β’ Opportunity to lead AI governance initiatives in a large-scale enterprise environment.
β’ Collaborative work with cross-functional teams.
β’ Fully remote working arrangement.
Ideal Candidate
The ideal candidate will be a strategic thinker with a strong background in AI governance and risk management. You will have excellent communication skills and the ability to engage with stakeholders across various functions. Your expertise in AI frameworks and governance principles will enable you to drive responsible AI adoption within the client organisation. A continuous improvement mindset and a passion for ethical AI practices will be key to your success in this role.
When you apply to this role, AI may be used to help analyse and format your information so the hiring team can review it more easily.
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