General information
Reference
1000008908
Vacancy details
Talent pool
Delivery - Group Learning Technical
Title
Data and AI Trainer
Contract type
QA Ltd Permanent
Job advert
Data and AI Trainer
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
Desirable relevant cloud vendor (GCP, AWS, Azure) certifications
What We'll Do For You!
Down time
Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health & wellbeing. These include:27 days holidayeach year,holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee AssistanceProgramme, and2 daysper yearcharity leave.
Our people
We are anequal opportunity employer, focused on promoting a welcoming and inclusive environment.
We are proud to be aDisability Confident employer.All applicants with a disability who fulfil the role criteria will be progressed to the next stage of the process. Please let us know what reasonable adjustment, if any, you require.
If this is what you’re looking for, here are the next steps:
Hit the apply button and register on ourQAwebsite to fill out our quick and easy application form.
Vacancy location
Location
UK, Other, Site Based
Handled by
Handled by
Vidita Kabbe - QA
Primary handler
Vidita Kabbe - QA
Last name
Kabbe - QA
Forename
Vidita
Email
Vidita.Kabbe@qa.com
Job Description
Attachment
Data AI Senior Technical Learning Specialist - New JD Jun25.docx (100 Kb) #J-18808-Ljbffr