At a Glance
- Tasks: Bring your AI expertise to design impactful learning programmes and materials.
- Company: Join peopleworth, a collaborative and innovative employer group.
- Benefits: Enjoy flexible remote work, a people-centred culture, and growth opportunities.
- Other info: Be part of a dynamic team with a focus on ethical AI practices.
- Why this job: Make a real difference in shaping the future of AI education.
- Qualifications: Experience in applied AI and ability to create engaging learning content.
The predicted salary is between 80000 - 100000 £ per year.
Description
At peopleworth, we support work where people and performance thrive.
As part of our Employer Group, we collaborate with innovative partners to deliver impactful learning experiences.
We are currently seeking an Applied AI SME to bring practical expertise and industry insights into the development of applied AI learning programmes.
Role Overview
The Applied AI SME will contribute deep practical knowledge of AI applications in real-world settings, supporting the design, development, and validation of learning materials that prepare learners for AI-enabled roles.
Working closely with the learning design and content teams, this role ensures the content reflects current best practices and addresses evolving industry demands.
Key Responsibilities
- Provide subject matter expertise on applied AI methodologies, tools, and workflows.
- Collaborate with curriculum developers to create and review learning content focused on practical AI applications.
- Support the integration of case studies, hands-on exercises, and real-world scenarios into learning materials.
- Advise on emerging trends and technologies in applied AI to keep content current and relevant.
- Offer guidance on ethical considerations, responsible AI practices, and governance within applied contexts.
- Participate in reviews and quality assurance of learning assets to ensure accuracy and practical relevance.
- Contribute to learner support activities such as Q&A sessions or expert forums when required.
Requirements
- Proven experience in applying AI technologies and methods in practical, production, or commercial environments.
- Strong understanding of machine learning, natural language processing, data engineering, or other relevant AI disciplines.
- Ability to translate complex AI concepts into accessible learning content and practical exercises.
- Familiarity with the development of educational materials and collaboration with learning design teams.
- Awareness of ethical AI standards, regulatory considerations, and responsible AI deployment.
- Excellent communication and interpersonal skills to collaborate effectively across teams.
- Proactive approach to staying updated with the latest AI technologies and industry trends.
Benefits
- Collaborative, people-centred performance culture
- Opportunities to grow in a fast-paced environment
- Flexible remote working arrangements
- Opportunity to contribute expertise to the development of high-impact professional learning experiences
- Our Recruitment Process
The peopleworth Employer Group follows a fair, transparent, and multi-stage recruitment process designed to ensure mutual fit.
- Application Submission: Complete the online form and answer brief application questions.
- Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist.
- Video Interview Stage: You’ll be invited to record short responses to 3–4 role-specific questions.
- Live Interviews: Shortlisted candidates join first-round interviews (and, where applicable, second or third rounds depending on the role).
- Final Shortlist & Verification: Reference and background checks are completed.
- Offer & Contracting: Successful candidates receive formal offers and contract documents.
- Pre-boarding & Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.
Throughout every stage, we value clear communication, respectful engagement, and timely feedback.
Applied AI SME in London employer: peopleworth
At peopleworth, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As an AI Leadership Facilitator, you will enjoy the flexibility of remote work while contributing to meaningful educational programmes that shape future leaders in AI. With competitive pay and opportunities for professional growth, we are committed to supporting your development in this dynamic field.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI SME in London
✨Dive into Digital Learning Communities
Join online forums and communities focused on digital education, like EdTech Meetups or LinkedIn groups. Engage actively—share ideas and insights, and you'll not only learn a ton but also connect with potential employers and thought leaders in the industry.
✨Showcase Your Teaching Skills
Create content that demonstrates your understanding of digital learning—think blogs, videos, or even free online workshops. This could catch the eye of companies like peopleworth looking for innovative thinkers. Plus, it’s a great way to practice your presentation skills!
✨Utilise University Career Services
If you're still in education or have access to an alumni network, make the most of your university's career services. They often have exclusive job listings and workshops tailored to students wanting to break into full-time roles in education technology.
✨Apply Directly Via Company Websites
When you come across roles like Applied AI SME at peopleworth, make sure to apply directly through their website. It not only shows you're serious but sometimes you'll find positions listed there that may not be on job boards yet. Keep an eye on those!
We think you need these skills to ace Applied AI SME in London
Some tips for your application 🫡
Show Off Your Passion for Learning:When applying for a role in digital learning and education at peopleworth, make sure to sprinkle your application with examples of your enthusiasm for teaching and learning technologies. Share specific experiences where you've used, designed, or implemented digital learning solutions, as this shows us that you truly get the field.
Highlight Relevant Education and Certification:In the digital learning space, having a strong educational background can set you apart. Don't shy away from showcasing your degrees, certifications, or relevant courses related to e-learning, instructional design, or educational technology. We love seeing candidates who have actively invested in their learning journey!
Tailor Your CV to the Role:Your CV is your first impression, so let's make it count! Focus on your skills directly related to digital learning, such as course development, learning management systems, and data analysis. Be sure to show measurable results from your past roles to demonstrate your impact and effectiveness.
Craft a Compelling Cover Letter:In your cover letter, express not just your qualifications, but your vision for the future of digital education. Discuss how your experiences align with the mission of peopleworth and highlight any innovative ideas you might have for enhancing learning experiences. This is your chance to connect with us on a deeper level!
How to prepare for a job interview at peopleworth
✨Get Hands-On with Learning Technologies
Familiarise yourself with common digital learning tools and platforms, like LMS systems or authoring tools that peopleworth might use. Understanding these will give you an edge and show you’re ready to jump in from day one!
✨Showcase Your Creativity in Lesson Design
Prepare a portfolio of your past projects if you have them, or create sample lesson plans or digital content demos. Being able to discuss your creative approach to engaging students can really set you apart in a full-time role at peopleworth.
✨Brush Up on Educational Trends
Stay in the loop with the latest trends in digital education, like gamification or personalised learning experiences. This will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
✨Prepare for Collaborative Scenarios
Expect to be asked about your experience working collaboratively with educators or other stakeholders. Consider discussing how you've contributed to a team effort in creating engaging educational content or improving student outcomes.
