AI Assurance Practitioner

Digi2al Limited; Portsmouth; Vor Ort; GBP 90.000 - 110.000; Vollzeit

Benefits dieser Stelle

25 days holiday increasing to 30 days

Annual bonus

Discretionary bonus

5% matched pension

Private health insurance

Employee Ownership Trust

Flexible working

2 charity days a year

16 weeks maternity leave

2 weeks paternity leave

Training and certifications

Choice of laptop and screen

Zusammenfassung

Digi2al Limited is seeking an AI Assurance Practitioner in the UK to implement a proactive assurance framework across high-consequence systems. You will work with engineering, delivery teams, and risk authorities to ensure safe, secure, and ethical AI-enabled operations.

Role requires SC clearance with DV eligibility, practical knowledge of JSP 936 and ISO/NIST frameworks, and a track record in AI risk governance and assurance program delivery.

Qualifikationen

• Valid UK National Security Vetting (SC) with eligibility for Developed Vetting (DV).
• Practical knowledge of UK Defence AI standards and policies (JSP 936 or equivalents).
• Experience in AI risk governance, ethical assessments, and control design for automated decision-making.
• Technical understanding of ML architectures, data pipelines, model drift, and validation metrics.
• Familiarity with international AI standards and governance frameworks (ISO/IEC 42001, NIST RMF, IEEE).
• Strong stakeholder management across diverse teams and leadership.

Aufgaben

• Translate defence AI policies and industry frameworks into practical assurance processes and guidance.
• Manage intake and risk categorisation for AI initiatives to determine proportionate assurance levels.
• Lead AI ethical and risk assessments, control design, residual risk scoring, and governance ownership.
• Review technical evidence from AI systems, including data provenance and model documentation.
• Coordinate specialist assessments, model evaluations, and adversarial testing activities.
• Maintain AI assurance risk register and prepare evidence for senior leadership statements.
• Align assurance workflows with Secure by Design, safety cases, and testing pathways.
• Coach and upskill teams to build in-house AI evaluation capability.

Kenntnisse

AI governance

AI risk assessments

Ethical risk evaluations

Technical understanding of AI/ML

Stakeholder management

Assurance frameworks

SBd/ safety cases

Tools

JSP 936

ISO/IEC 42001

NIST AI RMF

IEEE standards

Jobbeschreibung

Overview

We are seeking a specialist AI Assurance Practitioner to implement, operationalise, and deliver a proactive, risk-based AI Assurance Framework across complex, high-consequence operational and enterprise systems. As our client transitions toward continuous, proportionate AI governance, you will provide critical subject matter expertise to embed prescriptive AI assurance across the full capability lifecycle. Working directly with engineering and delivery teams, senior project owners, and enterprise risk authorities, you will ensure AI-enabled systems are safe, secure, ethical, and operationally effective.

Due to the secure nature of this project, you will need to hold SC or DV clearance (minimum requirements: 5 years of residency in the UK & British Nationality).

Key Responsibilities

• Policy Implementation & Operationalisation: Translate overarching defence AI policies, standards (such as JSP 936), and industry frameworks (e.g., ISO 42001) into practical, repeatable assurance processes, checklists, templates, and guidance.
• Intake, Triage & Risk Categorisation: Manage the intake and registration pipeline for emerging AI initiatives, assessing system context, consequence, and novelty to determine proportionate tiers of assurance.
• AI Ethical & Risk Assessments: Guide multidisciplinary delivery teams through system boundary definition, hazard identification, ethical impact assessments, control design, residual risk scoring, and formal risk ownership.
• Technical Evidence & Model Review: Interrogate AI system specifications, data provenance, training pipelines, model documentation, algorithmic bias assessments, and data sufficiency to constructively challenge incomplete evidence.
• Specialist Assessment Coordination: Scope and coordinate deeper technical assurance for high-risk capabilities, including model evaluations, adversarial robustness/red-teaming, and cyber/safety stress tests.
• Governance, Escalation & Reporting: Maintain the central AI assurance risk register, elevate critical residual risks through established governance boards, and compile evidence to support senior leadership assurance statements.
• Process Alignment & Integration: Align AI assurance workflows with established digital delivery mechanisms, Secure by Design (SbD) frameworks, safety cases, and technical test/trials pathways.
• Enduring Capability & Knowledge Transfer: Deliver coaching, guidance, and upskilling to internal delivery teams and emerging assurance personnel to build sustainable in-house AI evaluation capability.

Essential:

• Security Clearance: Valid UK National Security Vetting SC Clearance with eligibility and willingness to undergo Developed Vetting (DV).
• Defence AI Standards: Practical working knowledge of UK Defence AI standards and policies (specifically JSP 936 or equivalent regulated sector frameworks).
• AI Risk & Governance: Proven track record conducting AI impact assessments, ethical risk evaluations, and establishing controls for algorithmic models and automated decision-making.
• Technical Understanding of AI/ML: Grounded technical comprehension of machine learning architectures, data pipelines, model drift, data provenance, validation metrics, and performance evaluation.
• Assurance & Compliance Frameworks: Exposure to emerging international AI standards and frameworks, such as ISO/IEC 42001, NIST AI RMF, or IEEE standards.
• Stakeholder Management: Demonstrated ability to act as an independent challenger while collaborating effectively across diverse teams: data scientists, systems engineers, safety managers, legal advisors, and senior operational stakeholders.

Desirable:

• Experience with Secure by Design (SbD), system safety engineering, or defence test and evaluation processes.
• Hands‑on experience planning or executing model red‑teaming, adversarial testing, or synthetic data verification.
• Background working within UK Defence, national security, aerospace, or other high‑reliability regulated sectors.

• 25 days holiday increasing annually up to a maximum of 30 days

• Annual bonus - all employees are eligible (following successful completion of probationary period) - level varies by position and is dependent on company performance
• Discretionary bonus for exceptional performance
• 5% matched pension
• Private Health Insurance
• Employee Ownership Trust - from day 1 employees share in the benefits of the company
• Support for flexible working

• 2 paid charity days a year

• 16 weeks of full pay Maternity leave

• 2 weeks full pay Paternity leave
• Support with your professional development including training and certifications and attendance at conferences
• Diverse and interesting projects which give you an opportunity to make a difference
• Choice of laptop and screen