ai Manager

PENTLAND; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading fashion and lifestyle brand in the United Kingdom is seeking an experienced AI/ML Project Lead to oversee the delivery of AI projects from start to finish. The successful candidate will architect advanced machine learning models, ensure compliance with governance frameworks, and mentor data science teams. Excellent communication and collaboration skills are essential.

Qualifications

• Experience in leading AI/ML projects from conception to deployment.
• Strong understanding of AI governance and compliance frameworks.
• Ability to mentor and foster development among data science teams.

Responsibilities

• Lead AI/ML project delivery from requirements to maintenance.
• Design and implement machine learning models using Python.
• Collaborate with teams to mitigate AI risk and ensure compliance.

Skills

AI project delivery

Machine learning model development

Data governance frameworks

Collaboration with legal teams

Mentoring data science staff

Data management and quality assurance

Performance monitoring of AI models

Communication of technical results

Staying updated on AI innovations

Integration of AI tools

Tools

Python

Job description

• Lead AI/ML project delivery, from requirements gathering and prototyping to production deployment and maintenance.
• Architect and develop advanced machine learning, deep learning, and analytics models using Python and industry-standard libraries.
• Design, implement, and maintain AI governance frameworks-including model documentation, explainability, monitoring, compliance, and auditability.
• Collaborate with legal, compliance, and business teams to assess and mitigate AI risk, and ensure models comply with data privacy regulations (e.g., GDPR, CCPA).
• Mentor, coach, and develop data science and engineering staff through best practices in coding, testing, peer review, and ethical AI.
• Oversee data management, data quality, and secure data access to enable ethical and compliant use of data in AI projects.
• Monitor deployed AI models for drift, bias, performance, and regulatory alignment, drive model retraining and revalidation cycles.
• Communicate technical results, risks, and governance strategies to technical and non-technical stakeholders.
• Stay abreast of the latest AI, ML, and governance innovations, integrating emerging tools and techniques into the organization.
• Lead selection and integration of AI tools, platforms, and frameworks to accelerate development and ensure governance coverage.