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- Tasks: Train and develop junior AI/ML engineers in practical, real-world applications.
- Company: Join a global leader in technology education with a focus on AI.
- Benefits: Competitive salary, extensive benefits, and fully remote work.
- Why this job: Shape the future of AI talent and make a real impact in tech.
- Qualifications: Experience in AI/ML and a passion for mentoring early-career engineers.
- Other info: Stay updated with the latest AI advancements while working remotely.
The predicted salary is between 70000 - 75000 £ per year.
We're recruiting an AI / Machine Learning Engineering Trainer to join a rapidly growing AI Education team within a global Technology Education business. In this role, you'll train and develop junior/apprentice AI & ML Engineers, helping them build real-world engineering capability across a range of industries. You'll draw on your own applied ML experience to help learners understand how modern AI systems are built, tested and deployed in commercial environments. Your mission is to help transform junior AI / ML talent into confident, capable engineers.
Responsibilities
- Deliver engaging, practical training across applied Machine Learning and modern AI engineering concepts
- Support learners across areas such as Python-based ML development, LLMs, NLP, Generative AI, and modern MLOps approaches (you don't need to be an expert in every area)
- Help learners understand how models move from experimentation into real-world use
- Translate complex AI/ML concepts into clear, accessible learning experiences
- Coach learners to develop strong engineering habits, problem-solving skills and professional confidence
- Collaborate with Learning & Curriculum teams to keep content aligned with developments in LLMs, agentic AI and emerging tooling as the sector moves
- Stay up to date with all of the latest technical advancements in AI – time will be allocated for this.
You'll need:
- Industry experience as an AI / Machine Learning Engineer (this could include LLMs, NLP, applied ML, GenAI or related specialisms)
- Strong Python and ML fundamentals
- Experience delivering training, mentoring, or coaching (Trainer / Instructor / Tutor / Lecturer / Teacher / Coach / Mentor)
- A genuine passion for developing early-career engineers
- Strong experience in any AI/ML specialism (LLMs, NLP, GenAI, etc.) is welcome. Full end-to-end ML production experience isn't a must.
This is a fully remote working role paying £70,000 - £75,000 & offers one of the best employee benefits lists we've seen in this market.
AI / Machine Learning Engineer Trainer in Newcastle upon Tyne 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 in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Connect with fellow AI and ML enthusiasts on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to reach out to people in the industry. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Python-based ML development or any AI/ML specialisms you’re passionate about. 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 practical applications. Be ready to discuss how you’ve applied your knowledge in real-world scenarios. Practice explaining complex ideas in simple terms – it’s a key skill for a trainer!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals to join our team. Keep an eye on our job listings and make sure your application stands out by highlighting your training experience and enthusiasm for developing early-career engineers.
We think you need these skills to ace AI / Machine Learning Engineer Trainer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI / Machine Learning Engineer Trainer role. Highlight any relevant training or mentoring experience, and don’t forget to showcase your applied ML knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for developing early-career engineers and how your background aligns with our mission at StudySmarter. Keep it engaging and personal!
Showcase Your Technical Skills: We want to see your technical prowess! Mention your experience with Python, ML fundamentals, and any specialisms like LLMs or NLP. Be specific about projects or achievements that demonstrate your capabilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 fundamentals. Be ready to discuss your experience with Python, LLMs, NLP, and any other relevant specialisms. The more you can relate your past work to the role, the better!
✨Show Your Teaching Skills
Since this role involves training others, think about how you can demonstrate your teaching or mentoring experience. Prepare examples of how you've successfully coached someone in the past, and be ready to explain your approach to making complex concepts accessible.
✨Stay Current
The tech world moves fast, especially in AI. Make sure you're up to date with the latest trends and advancements in the field. Mention any recent developments you've been following and how they could impact your training methods.
✨Engage with the Interviewers
Interviews are a two-way street! Prepare some thoughtful questions about the company's training philosophy and how they keep their curriculum aligned with industry changes. This shows your genuine interest in the role and helps you assess if it's the right fit for you.