Artificial intelligence governance engineer
- gaydon, england, United Kingdom
- On-site
- Full time
- £65 - £100 Per Hour
Job Description
Company Description
Techmatron Courses is a future-focused learning platform delivering industry-relevant, skill-based education across technology, engineering, and digital domains. We design our programs to close the gap between academic theory and real-world practice through hands-on training and practical projects. Learners work with up-to-date tools and frameworks under the guidance of experienced mentors and industry experts. As we expand our offerings, we are building technical and governance capabilities to ensure responsible, secure, and effective use of artificial intelligence in education.
Role Description
The Artificial Intelligence Governance Engineer will be responsible for designing, implementing, and maintaining governance frameworks that ensure AI systems used across Techmatron Courses are safe, compliant, and aligned with organizational standards. Day-to-day tasks include reviewing and documenting AI models and data pipelines, defining policies for responsible AI use, and implementing monitoring and controls for model performance, bias, and security. The role involves collaborating with software developers, data scientists, and academic teams to integrate governance requirements into AI solutions and learning products. The engineer will also conduct risk assessments, support audits, and develop guidance and training materials on AI governance best practices. This is a full-time, on-site role based in Coventry.
Qualifications
- Strong foundation in Computer Science and Software Development, including experience with modern development practices and version control.
- Knowledge of Pattern Recognition and Neural Networks, with practical experience in designing, evaluating, or reviewing machine learning models.
- Familiarity with Natural Language Processing (NLP) concepts and applications, particularly in educational or content-focused environments.
- Understanding of AI governance, ethics, risk management, and regulatory considerations (e.g., data protection, model accountability, transparency).
- Ability to translate technical AI concepts into clear policies, documentation, and guidance for technical and non-technical stakeholders.
- Experience with monitoring, testing, and validating AI systems for fairness, robustness, and security.
- Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
- Strong analytical and problem-solving skills, attention to detail, and the ability to work collaboratively in a cross-functional environment.