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70% Remote, 30% any QA Onsite (London, Manchester, Leeds, Birmingham, Slough)
About the role:
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.
In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy 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.
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
Skills and Technical Proficiency
Strong knowledge of GenAI concepts, applications and prompt engineering
Proficientin GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem.
Industry Knowledge & Experience
Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch)
Familiarity with cloud platforms (AWS, GCP, Azure)
Experience working with AI/ML engineers, data scientists, and other data professionals
Wider Requirements
Passion for education, technology, and empowering others through knowledge sharing
Qualifications:
Desirable degree in Mathematics or related field
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