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- Tasks: Train and mentor the next generation of ML Engineers through engaging sessions.
- Company: Join a global leader in Data & AI training, shaping future tech talent.
- Benefits: Enjoy remote work, a competitive salary of £65,000, and a 4-day work week.
- Why this job: Make a real impact by teaching cutting-edge AI technologies and best practices.
- Qualifications: Strong Python coding skills and experience in ML/AI concepts required.
- Other info: Cloud training provided; ideal for those passionate about education and technology.
The predicted salary is between 39000 - 91000 £ per year.
Location: Fully Remote
Job Type: Permanent
Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They are looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers. This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices.
Key Responsibilities:
- Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering.
- Facilitate both beginner and advanced-level content to AI / ML Engineers and Data Scientists working across a variety of companies & industries.
- Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc).
- Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you).
- Keep training material up to date with current Data Science / AI / ML industry trends, tools, and techniques.
- Support learners with career development and technical confidence.
Required Skills & Experience:
- Strong coding experience in Python and the ML/AI development ecosystem.
- Solid understanding and ideally hands-on experience with core Machine Learning concepts.
- Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine).
- Prior experience delivering training, mentoring, or leading workshops or lectures (Trainer / Instructor / Lecturer / Teacher Consultant / Coach / Mentor / Educator).
- Ability to explain complex topics clearly and adapt to different learning levels.
Desirables:
- Familiarity with modern MLOps practices, reproducibility, and collaborative workflows.
- Practical experience deploying or training models in cloud environments (AWS, GCP or Azure).
This is a fully remote working position & salary is £65,000, with the option to work 4 days a week.
Please get in touch for more info!
Machine Learning Engineer Trainer. Job in Liverpool Education & Training Jobs employer: FIND | Creating Futures
Contact Detail:
FIND | Creating Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer Trainer. Job in Liverpool Education & Training Jobs
✨Tip Number 1
Make sure to showcase your teaching and mentoring experience. Highlight any previous roles where you've trained others, as this is crucial for the Machine Learning Engineer Trainer position.
✨Tip Number 2
Stay updated with the latest trends in AI and ML. Being knowledgeable about current technologies and best practices will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss your hands-on coding experience in Python and relevant ML libraries. Be ready to explain complex concepts clearly, as this will be a key part of your role as a trainer.
✨Tip Number 4
Familiarise yourself with cloud-based tools and services like AWS, GCP, or Azure. Even if you haven't used them extensively, showing a willingness to learn can set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineer Trainer. Job in Liverpool Education & Training Jobs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and AI, especially any teaching or mentoring roles you've held. Emphasise your coding skills in Python and familiarity with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and mentoring the next generation of ML professionals. Mention specific examples of how you've successfully delivered training or workshops in the past.
Showcase Relevant Projects: Include details about any relevant projects you've worked on, particularly those that demonstrate your ability to explain complex topics clearly. Highlight any experience with cloud-based tools and services, as this is a key aspect of the role.
Prepare for Potential Interview Questions: Think about how you would explain core Machine Learning concepts to someone new to the field. Be ready to discuss your approach to training and mentoring, as well as your knowledge of current industry trends and tools.
How to prepare for a job interview at FIND | Creating Futures
✨Showcase Your Teaching Skills
Since the role involves training and mentoring, be prepared to demonstrate your teaching abilities. Consider preparing a short presentation or explanation of a complex ML concept to showcase how you can simplify difficult topics for learners.
✨Highlight Relevant Experience
Make sure to discuss any previous experience you have in delivering training or mentoring. Share specific examples of workshops or lectures you've led, and how you adapted your content for different skill levels.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in AI and ML, especially in areas like NLP and deep learning. Being able to discuss recent advancements or tools will show your passion for the field and your commitment to providing up-to-date training.
✨Prepare for Technical Questions
Expect technical questions related to Python and ML libraries. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your expertise and ability to guide learners through practical challenges.
