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- Tasks: Design and implement AI-focused learning programmes for a dynamic workforce.
- Company: Leading digital enabler in Europe with an inclusive culture.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Shape the future of learning in AI and make a real difference.
- Qualifications: 5+ years in Learning and Development with AI project experience.
- Other info: Join a respectful team in Reading, UK with great career growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital enabler in Europe is seeking a Senior Learning & Development Specialist to spearhead AI-focused learning initiatives. You will design impactful learning programs for a workforce adapting to AI, collaborating with business units to understand their needs.
The ideal candidate has a strong background in Learning and Development, with at least 5 years of experience and a proven record in AI-related projects.
Join an inclusive team valuing respect and collaboration, based in Reading, UK.
Senior AI Learning Architect in Reading employer: team.blue
Contact Detail:
team.blue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Learning Architect in Reading
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and Learning & Development fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by researching the company and its AI initiatives. We should be ready to discuss how our experience aligns with their goals, especially in designing impactful learning programmes that cater to AI adaptation.
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your previous AI-related projects and learning programmes. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior AI Learning Architect in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Learning and Development, especially any AI-related projects. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI learning initiatives and how you can contribute to our inclusive team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since this role involves working closely with various business units, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you’ve made a difference in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at team.blue
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss your previous projects and how they relate to the role. This shows you’re not just knowledgeable but also passionate about the field.
✨Understand Learning Needs
Familiarise yourself with the specific learning needs of different business units. Think about how you can tailor your approach to meet these needs. This will demonstrate your ability to collaborate effectively and design impactful programmes.
✨Showcase Your Experience
Prepare examples from your past roles that highlight your experience in Learning and Development, especially in AI-related projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Emphasise Collaboration
Since the company values respect and teamwork, be ready to discuss how you’ve worked collaboratively in the past. Share stories that illustrate your ability to work well with others and adapt to different team dynamics.
