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Client:
FIND | Creating Futures
Location:
oxford district, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
9
Posted:
28.06.2025
Expiry Date:
12.08.2025
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Job Description:
Job Title: ML Engineering Trainer
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’re 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 Scientist 's 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.
* 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! Ryan.hammond@wearefind.co.uk
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Created on 28/06/2025 by JR United Kingdom
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