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- Tasks: Train and coach learners on real-world AI and ML projects.
- Company: Join a global leader in Data & AI training.
- Benefits: Fully remote role with a competitive salary of £65,000.
- Why this job: Shape the future of AI by educating diverse learners.
- Qualifications: Experience in AI/ML workflows and previous teaching roles required.
- Other info: Stay ahead with the latest tools and trends in AI & ML.
The predicted salary is between 39000 - 65000 £ per year.
Experienced in AI/ML Engineering and excited by the chance of training / educating others in your field? FIND are recruiting an AI/ML Engineering Trainer for a Global Data & AI Training organisation. As an AI & ML Instructor, you’ll deliver engaging, hands-on training sessions to massively diverse groups of learners across their growing AI portfolio - including their new Level 6 AI/ML Engineer apprenticeship programme.
Responsibilities:
- Train & coach learners through real-world AI and ML projects
- Stay up to date with emerging tools, techniques, and trends in AI & ML Engineering (your learners will always be working on the latest tech!)
- Deliver engaging, hands-on AI & ML Engineering training sessions.
- Support learners’ technical and professional development
- Collaborate on curriculum design and create high-quality learning content
- Contribute to the growth and improvement of AI programmes
Experience required:
- Solid experience across end-to-end machine learning workflows
- Expertise in Python, with knowledge of ML frameworks and MLOps tools
- AWS, Azure, or GCP experience
- Previous experience working as an Educator (Trainer / Instructor / Coach / Mentor / Lecturer etc)
This is a fully remote working role & salary is £65,000 (maybe negotiable).
AI / Machine Learning Engineer Trainer employer: FIND | Creating Futures
Contact Detail:
FIND | Creating Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / Machine Learning Engineer Trainer
✨Tip Number 1
Network like a pro! Connect with fellow AI/ML enthusiasts on LinkedIn and join relevant groups. Engaging in discussions can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts simply, as if you were teaching someone new to the field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate trainers. Your next big opportunity could be just a click away!
We think you need these skills to ace AI / Machine Learning Engineer Trainer
Some tips for your application 🫡
Show Your Passion for Teaching: We want to see your enthusiasm for training others in AI and ML! Make sure to highlight any previous teaching or mentoring experience, and share what excites you about educating the next generation of engineers.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when applicants customise their materials to reflect our job description. Mention specific skills like Python expertise and your experience with AWS, Azure, or GCP to catch our eye!
Highlight Real-World Experience: Since you'll be guiding learners through real-world projects, it's crucial to showcase your hands-on experience in AI/ML workflows. Share examples of projects you've worked on and how they relate to the training you'll provide.
Keep It Professional Yet Engaging: While we appreciate a friendly tone, remember that this is a professional application. Keep your language clear and engaging, and don’t forget to proofread for any typos or errors before hitting send!
How to prepare for a job interview at FIND | Creating Futures
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge. Be ready to discuss the latest tools, techniques, and trends in the field. This will not only show your expertise but also your passion for the subject, which is crucial for a training role.
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching style. Think of examples from your past experiences where you successfully trained or mentored others. Highlight how you made complex topics accessible and engaging for diverse learners.
✨Engage with Real-World Scenarios
Be ready to discuss real-world AI/ML projects you've worked on. Share specific challenges you faced and how you overcame them. This will help the interviewers see your practical experience and how you can bring that into your training sessions.
✨Collaborate and Contribute
Express your enthusiasm for collaborating on curriculum design. Share ideas on how you would improve existing programmes or create new content. This shows that you're not just a trainer but also a proactive contributor to the growth of the organisation.
