AI and Data Trainer
Hybrid – Virtual delivery with the requirement to deliver from QA centres and client sites
About the role:
As an expert in Artificial Intelligence and Data Science, you’ll design and deliver high impact learning courses that simplify complex technical concepts and make them accessible and engaging for our learners. You’ll work closely with clients to understand their business needs and capability gaps, translating them into tailored, scalable multi-modal blended learning solutions with your expertise in Python, ML models, cloud platforms and AI frameworks. As a subject matter expert, you’ll collaborate with cross functional teams, contribute insights to course and programme design, deliver exceptional learning experiences, achieving consistently high satisfaction scores across virtual and in person delivery. If you’re passionate about developing others, energised by emerging technologies, and excited to combine your technical knowledge with creative learning design, this role offers the opportunity to make a real impact while continuously growing your own expertise to stay at the forefront of industry trends through ongoing professional development, vendor certifications and a passion for education.
Role Responsibilities:
- Training Delivery: Deliver high quality and engaging training in line with polices, industry standards and regulatory requirements.
- 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 your in-depth knowledge to contribute insights to internal discussions, client programmes and 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
Your Experience/Skills:
Training Delivery
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
AI & Machine Learning Expertise
•Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, and multimodal AI
•Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems
Programming & Frameworks
•Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models.
•Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits
•Experience designing or working with scalable data architectures and distributed data processing frameworks such as Apache Spark or Databricks
•Familiarity with MLOps practices and tools is advantageous.
Cloud & Platform Knowledge
•Working familiarity with modern cloud ecosystems (AWS, Azure, GCP) including AI/ML services, data lake architectures, and cloud native tooling
•Experience collaborating with AI/ML engineers, data scientists, software developers, and cross-functional technical teams