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- Tasks: Deliver engaging training and mentor aspiring ML engineers in a fully remote role.
- Company: Leading Technology & AI Education provider with a focus on innovation.
- Benefits: Excellent employee benefits, remote work, and opportunities for professional growth.
- Why this job: Shape the future of AI/ML by teaching and inspiring the next generation.
- Qualifications: Industry experience, strong Python skills, and a passion for teaching.
- Other info: Join a dynamic team dedicated to modern AI/ML engineering education.
The predicted salary is between 30000 - 42000 £ per year.
A leading Technology & AI Education provider is seeking an AI / Machine Learning Engineering Trainer to deliver engaging training to aspiring ML engineers. This fully remote role requires industry experience, strong Python skills, and a passion for teaching the next generation.
Responsibilities include:
- Providing hands-on training
- Translating complex concepts into practical experience
- Mentoring learners
The organization offers excellent employee benefits and opportunities to train in modern AI/ML engineering.
Remote AI/ML Engineer Trainer & Lecturer employer: FIND | Creating Futures
Contact Detail:
FIND | Creating Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI/ML Engineer Trainer & Lecturer
✨Tip Number 1
Network like a pro! Reach out to fellow AI/ML enthusiasts on LinkedIn or join relevant online communities. Engaging with others in the field can lead to job opportunities and valuable insights.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML concepts and teaching methodologies. Practice explaining complex ideas in simple terms, as this is key for a trainer role. We want to see how you can make learning fun and engaging!
✨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 are proactive about their job search!
We think you need these skills to ace Remote AI/ML Engineer Trainer & Lecturer
Some tips for your application 🫡
Show Your Passion for Teaching: When writing your application, let us see your enthusiasm for teaching and mentoring. Share experiences where you've helped others grasp complex concepts, especially in AI/ML. We want to know how you can inspire the next generation of engineers!
Highlight Your Industry Experience: Make sure to showcase your relevant industry experience in AI and machine learning. We’re looking for someone who can bring real-world insights into the training sessions, so don’t hold back on sharing your projects or achievements!
Demonstrate Your Python Skills: Since strong Python skills are a must, include specific examples of how you've used Python in your work. Whether it’s projects, tools, or frameworks, we want to see how you’ve applied your coding skills in practical scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at FIND | Creating Futures
✨Know Your Stuff
Make sure you brush up on your AI and machine learning concepts. Be ready to discuss your industry experience and how you've applied Python in real-world scenarios. They’ll want to see that you can translate complex ideas into practical applications.
✨Show Your Passion for Teaching
Since this role involves training aspiring ML engineers, it’s crucial to convey your enthusiasm for teaching. Prepare examples of how you've engaged learners in the past and be ready to share your teaching philosophy. They’ll appreciate a candidate who genuinely cares about mentoring the next generation.
✨Prepare for Hands-On Scenarios
Expect to demonstrate your ability to provide hands-on training. Think of ways you can illustrate complex concepts through practical exercises. You might even want to prepare a mini-lesson or a coding challenge to showcase your teaching style during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their training methods, team dynamics, and opportunities for professional development. This shows that you’re not just interested in the job, but also in how you can grow within the organisation.
