Data and AI Trainer

Overview

Data and AI Trainer — Home Based, virtual delivery with requirement to deliver from QA centres and client sites. This position requires the successful candidate to obtain SC (Security Clearance).

As an expert in your field, you will deliver QA and vendor-specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios. You’ll maintain high satisfaction scores, contribute as a subject matter expert, and collaborate across teams to support shared goals and continuous improvement.

In addition to training delivery, you’ll contribute insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the Num Py ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development and a passion for education.

• Training Delivery:
  Deliver high quality and engaging training in line with policies, industry standards and regulatory requirements.
• Training Design and Development:
  Design and create engaging courseware that aligns to client requirements, quality standards and provides demonstrable impact in the learners’ workplace.
• Performance & Quality Metrics:
  Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+ and achieve ‘Meeting Expectations’ in trainer observations; utilise feedback to improve performance and effectiveness of training; conduct peer observations providing constructive feedback.
• Subject Matter Expertise:
  Act as an SME, utilising in-depth knowledge to contribute insights to internal discussions and client programmes; collaborate cross-functionally.
• Communication:
  Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholders.
• Contribution:
  Support team objectives and initiatives, demonstrate accountability and reliability, showing flexibility to adapt to priorities.
• Continuous Professional Development:
  Proactively maintain industry-recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practices.

• Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-person.
• Ability to connect with diverse audiences including technical and non-technical professionals.

• Proven ability to design and develop engaging, learner-centric courseware tailored to diverse audiences and delivery formats (virtual and in-person).
• Skilled in translating complex technical concepts into accessible, structured learning experiences that drive real-world application and impact.
• Experience in applying instructional design principles and adult learning theory to create interactive, outcome-focused training materials.
• Ability to collaborate with subject matter experts and stakeholders to ensure course content meets client requirements, industry standards, and regulatory expectations.

• Strong knowledge of GenAI concepts, applications and prompt engineering.
• Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the Num Py ecosystem.

• Desirable hands-on experience with leading AI frameworks (e.g. Tensor Flow, PyTorch).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Experience working with AI/ML engineers, data scientists, and other data professionals.

• Passion for education, technology, and empowering others through knowledge sharing.

• Desirable degree in Mathematics or related field.
• Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications.
• Desirable relevant cloud vendor (GCP, AWS, Azure) certifications.