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- Tasks: Deliver engaging training in Data Science, GenAI, and Python to diverse clients.
- Company: Dynamic tech company focused on innovative education and inclusivity.
- Benefits: 27 days holiday, health plans, gym access, and charity leave.
- Why this job: Shape the future of learning while empowering others with your expertise.
- Qualifications: Strong knowledge of GenAI, Python, and excellent presentation skills.
- Other info: 70% remote work with opportunities for professional development.
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 policies, 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. Proficient in 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 holiday each year, holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee Assistance Programme, and 2 days per year charity leave.
Our people We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We are proud to be a Disability 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.
AI Trainer UK Wide employer: QA Ltd
Contact Detail:
QA Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Trainer UK Wide
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in GenAI and Python. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates. We love seeing proactive candidates!
✨Tip Number 4
Make sure to tailor your approach for each role. Highlight your relevant experience in training delivery and your passion for education. When you apply through our website, we’ll see your enthusiasm and commitment right away!
We think you need these skills to ace AI Trainer UK Wide
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in Data Science, GenAI, and Python. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Show Your Passion for Education: We love candidates who are passionate about teaching and empowering others. Share any relevant experiences where you've helped others learn or grow, whether through formal training or informal mentoring.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance. We appreciate straightforward communication!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at QA Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of GenAI, machine learning, and Python. Be ready to discuss specific projects or experiences where you've applied these skills. This will show that you're not just familiar with the concepts but can also bring real-world examples to the table.
✨Engage with Your Audience
Since you'll be delivering training to diverse audiences, practice how you can connect with both technical and non-technical professionals. Think about how you can make complex topics engaging and relatable. Maybe prepare a mini-presentation to showcase your facilitation skills.
✨Feedback is Key
Be prepared to discuss how you've used feedback in the past to improve your training delivery. Highlight any experiences where you've conducted peer observations or received constructive criticism, and how you turned that into actionable improvements.
✨Stay Current
Show your passion for continuous professional development by mentioning any recent courses, certifications, or industry trends you've been following. This demonstrates your commitment to staying at the forefront of the field and your eagerness to contribute to the future of learning.
