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- Tasks: Train and mentor the next generation of AI/ML Engineers through engaging, hands-on learning.
- Company: Leading Technology & AI Education provider with a focus on innovation.
- Benefits: Fully remote work, top-notch employee benefits, and training in modern AI/ML technologies.
- Why this job: Shape the future of AI/ML talent while sharing your industry expertise.
- Qualifications: Strong ML engineering experience and a passion for teaching.
- Other info: Dynamic role with opportunities to evolve content in line with AI/ML trends.
The predicted salary is between 36000 - 60000 £ per year.
The role is for an AI / Machine Learning Engineering Trainer / Lecturer, fully remote and UK-based. FIND are recruiting on behalf of a leading Technology & AI Education provider who are scaling their advanced AI/ML Engineering programmes across Higher Education and Degree Apprenticeship routes.
They’re looking for an industry-experienced Machine Learning professional who enjoys teaching, mentoring and developing the next generation of AI/ML Engineers at BSc and MSc level. This role sits at the intersection of real-world ML engineering and Higher Education delivery - ideal for someone who has worked hands-on in industry and now wants to focus on training advanced learners in modern AI/ML technologies.
You’ll be responsible for training AI & Machine Learning Engineering apprentices across dedicated AI/ML programmes and broader Data Science pathways. Using your industry experience, you’ll deliver applied, engineering-focused training across the modern ML stack - helping learners move from theory into production-ready capability.
You’ll cover a broad and evolving AI/ML landscape including:
- Python-based ML engineering & data pipelines
- Generative AI, LLMs, NLP, RAG & Agentic workflows
(Full training will be provided across emerging technologies - they’re not expecting deep expertise in every area!)
What you’ll be doing:
- Deliver engaging, hands-on AI/ML engineering training to BSc & MSc level apprentices
- Translate complex ML concepts into practical, real-world learning experiences
- Coach and mentor learners through projects and applied engineering challenges
- Support apprentices operating within a Higher Education framework
- Collaborate with curriculum teams to continuously evolve content in line with AI/ML trends
- Help shape engineers who are genuinely production-ready
What they’re looking for:
- Strong industry experience as a Machine Learning Engineer or AI Engineer
- Excellent Python and ML engineering fundamentals
- Experience Teaching, Training, Lecturing, or Coaching (Trainer / Instructor / Lecturer / Guest Lecturer / Tutor / Teacher / Coach)
- Understanding of Higher Education or academic learning environments (lecturing, tutoring, apprenticeships, universities, etc.)
- Passion for wanting to train & develop others in your field
- ML specialism isn’t critical - they value strong engineering foundations and industry credibility above niche focus areas, and can teach the rest.
What’s on offer:
- Fully remote working
- One of the best employee benefits packages on the market.
- The opportunity to get trained in all areas of modern AI/ML Engineering (LLMs, NLP, Agentic, RAGs etc)
- The chance to shape the future of AI/ML engineering talent
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 AI/ML Engineer Trainer / Lecturer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to meet potential employers and fellow professionals who can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML concepts and practical applications. Be ready to discuss your hands-on experience and how it translates into teaching and mentoring roles. We want to see your passion for developing the next generation of engineers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who are eager to share their knowledge and shape the future of AI/ML engineering.
We think you need these skills to ace 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 learn or grow in their understanding of AI/ML concepts. This will help us understand your commitment to shaping the next generation of engineers.
Highlight Relevant Experience: Make sure to detail your industry experience as a Machine Learning Engineer. We want to know about the projects you've worked on and how they relate to the training you'll be providing. This helps us see how you can translate real-world applications into engaging learning experiences.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it gives you a chance to explore more about us and what we stand for in the world of AI/ML education.
How to prepare for a job interview at FIND | Creating Futures
✨Know Your Stuff
Brush up on your Python and ML engineering fundamentals. Be ready to discuss your hands-on experience in the industry, as well as how you can translate complex concepts into practical learning experiences for students.
✨Show Your Passion for Teaching
Make sure to convey your enthusiasm for mentoring and developing the next generation of AI/ML engineers. Share examples of how you've successfully taught or coached others in the past, and highlight your commitment to fostering a positive learning environment.
✨Understand the Education Landscape
Familiarise yourself with the Higher Education framework and apprenticeship models. Be prepared to discuss how you can adapt your industry knowledge to fit academic settings and support apprentices in their learning journey.
✨Stay Current with Trends
Keep an eye on the latest developments in AI/ML technologies. During the interview, mention any recent trends or tools you've been exploring, and express your eagerness to evolve content in line with these advancements to keep your training relevant.
