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For Companies At a Glance
- Tasks: Deliver engaging training in Data Science, GenAI, and Python to diverse clients.
- Company: Join a forward-thinking company dedicated to innovative education and professional development.
- Benefits: Enjoy 27 days holiday, wellness perks, and flexible working options.
- Why this job: Shape the future of learning while staying ahead in tech trends and empowering others.
- Qualifications: Desirable degree in Mathematics or related field; strong skills in GenAI and Python required.
- Other info: 70% remote work with occasional onsite presence in major UK cities.
The predicted salary is between 36000 - 60000 £ per year.
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
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
Job Description
Attachment
Job Description
Attachment
Data AI Senior Technical Learning Specialist – New JD Jun25.docx (100 Kb)
#J-18808-Ljbffr
Data and AI Trainer employer: QA Limited
Contact Detail:
QA Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Trainer
✨Tip Number 1
Familiarise yourself with the latest trends in Data Science and GenAI. Follow industry leaders on social media, join relevant forums, and participate in webinars to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the Data Science and AI community. Attend meetups, conferences, or online events where you can connect with potential colleagues or mentors. Building these relationships can lead to valuable insights and job referrals.
✨Tip Number 3
Prepare to showcase your training delivery skills. Consider creating a short presentation or workshop that highlights your ability to teach complex topics in an engaging way. This can be a great talking point during interviews and shows your proactive approach.
✨Tip Number 4
Research StudySmarter's training methodologies and values. Understanding our approach to education and how we empower learners will allow you to align your application and interview responses with our mission, making you a more attractive candidate.
We think you need these skills to ace Data and AI Trainer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in training delivery, particularly in Data Science, GenAI, and Python. Emphasise any relevant certifications and your ability to engage diverse audiences.
Craft a Compelling Cover Letter: In your cover letter, express your passion for education and technology. Mention specific examples of how you've empowered learners in the past and your commitment to continuous professional development.
Showcase Your Technical Skills: Clearly outline your technical proficiency in GenAI, machine learning, and Python. If you have experience with AI frameworks or cloud platforms, make sure to include that as well.
Highlight Collaboration Experience: Discuss your experience working collaboratively across teams and with various stakeholders. Provide examples of how you've contributed to team objectives and supported initiatives in previous roles.
How to prepare for a job interview at QA Limited
✨Showcase Your Training Skills
Prepare to demonstrate your presentation and facilitation skills during the interview. You might be asked to deliver a short training session or explain complex concepts in an engaging way, so practice explaining Data Science or Python topics clearly and interactively.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with GenAI, machine learning, and Python. Provide specific examples of projects you've worked on, particularly those involving AI frameworks like TensorFlow or PyTorch, as well as any cloud platforms you’ve used.
✨Emphasise Continuous Learning
Demonstrate your commitment to professional development by discussing any recent certifications or courses you've completed. Mention how you stay updated with industry trends and emerging technologies, which is crucial for this role.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked effectively with diverse teams. Be prepared to discuss how you communicate with both technical and non-technical professionals, showcasing your adaptability and teamwork skills.
