AI Assurance ML Ops SME - Morela : Job Details

Morela is supporting our client in securing an experienced AI Assurance ML Ops professional to join a high-impact programme. This is a chance to ensure AI/ML systems are safe, auditable, and fully aligned with regulatory and ethical standards in complex operational environments.

Contract Details:

• Duration: 3+ years

• IR35: Inside

• Clearance: SC or DV required

• Day Rate: £700–£900 (depending on experience)

Role Overview:In this role, you will integrate assurance into every stage of the AI/ML lifecycle. From data preparation to production deployment, you will embed governance, risk management, and monitoring practices to make AI systems reliable, transparent, and compliant.

Key Responsibilities:

• Establish and maintain assurance processes within ML Ops pipelines

• Apply governance and risk frameworks throughout model development and deployment

• Implement and lead monitoring practices for bias, data drift, model drift, explainability, and system robustness

• Provide guidance on TEV&V practices for models under development or in production

• Partner with Data Science, Risk, and Compliance teams to align AI systems with organisational, ethical, and regulatory requirements

Required Expertise:

• Extensive ML Ops / ML Engineering experience, particularly in assurance, governance, and monitoring

• Hands-on knowledge of ML Ops platforms and tools (Kubeflow, MLflow, SageMaker, Azure ML, or equivalent)

• Proven ability to deploy and maintain AI solutions in regulated or complex operational settings

• Strong grounding in responsible AI practices, including explainability and fairness

• Experience ensuring AI systems comply with regulatory frameworks (EU AI Act, ISO, NIST, or industry standards)

• Skilled at translating assurance requirements into technical processes and collaborating across multidisciplinary teams

Preferred Skills:

• Practical experience implementing responsible AI practices directly in ML pipelines

• Ability to operationalise bias detection, monitoring, explainability, and TEV&V within ML Ops

• Demonstrated capacity to turn regulatory guidance into actionable pipeline processes

Why This Role:This is a rare opportunity to influence the trustworthiness and compliance of AI/ML systems in real-world deployments. Join a programme that prioritises responsible AI while working with expert teams on cutting-edge projects.

Morela is proud to support our client in this crucial AI assurance initiative.