At a Glance
- Tasks: Deliver engaging training in Data Science, GenAI, and Python to diverse clients.
- Company: Dynamic tech company focused on innovative education and professional development.
- Benefits: 27 days holiday, health plans, gym access, and charity leave.
- Why this job: Shape the future of learning while empowering others with cutting-edge knowledge.
- Qualifications: Strong skills in GenAI, machine learning, and Python; passion for education.
- Other info: 70% remote work with opportunities for career growth and continuous learning.
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 functionallyCommunication: Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholdersContribution: Support team objectives and initiatives, demonstrate accountability and reliability showing flexibility to adapt to prioritiesContinuous Professional Development: Proactively maintain industry recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practicesYour Experience/Skills:Training DeliveryExcellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-personAbility to connect with diverse audiences including technical and non-technical professionalsSkills and Technical ProficiencyStrong knowledge of GenAI concepts, applications and prompt engineeringProficientin GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem.Industry Knowledge & ExperienceDesirable 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 professionalsWider RequirementsPassion for education, technology, and empowering others through knowledge sharingQualifications:Desirable degree in Mathematics or related fieldWhat We\’ll Do For You!Down timeTaking 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 peopleWe 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 locationLocationUK, Other, Site BasedJob DescriptionAttachmentJob DescriptionAttachmentData 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
Network like a pro! Reach out to your connections in the Data and AI field. Attend meetups, webinars, or even local events in London, Manchester, or wherever you are. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your training delivery, projects, or any relevant work you've done in GenAI and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your subject matter expertise. Be ready to discuss the latest trends in AI and machine learning, and how you can contribute to shaping the future of learning at StudySmarter.
✨Tip Number 4
Don’t forget to apply through our website! It’s quick and easy, and we love seeing applications from passionate candidates like you. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Data and AI Trainer
Some tips for your application 🫡
Show Your Passion for Education: When you're writing your application, let your enthusiasm for teaching and technology shine through. We want to see how you empower others through knowledge sharing, so share any relevant experiences that highlight this passion!
Tailor Your Application: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to align their background with what we're looking for, especially in areas like GenAI and Python.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Highlight your key achievements and skills without overwhelming us with too much information.
Apply Through Our Website: Don't forget to hit that apply button on our QA website! It's the easiest way to get your application in front of us, and we can't wait to see what you've got to offer.
How to prepare for a job interview at QA Limited
✨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 even prepare a mini-presentation to showcase your training style!
✨Feedback is Key
Be prepared to discuss how you handle feedback and improve your training delivery. Share examples of how you've used feedback in the past to enhance your performance. This shows that you're committed to continuous improvement, which is crucial for this role.
✨Stay Current
Show your passion for ongoing 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 enthusiasm for education and technology.