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- Tasks: Teach and assess students in Machine Learning and Data Engineering at university level.
- Company: Leading education provider in the UK with a focus on innovation.
- Benefits: Hybrid working, free study opportunities, and professional development perks.
- Why this job: Shape the future of tech by inspiring the next generation of data scientists.
- Qualifications: Level 7 qualification or equivalent and strong communication skills.
- Other info: Join a dynamic team dedicated to high-quality education and student success.
The predicted salary is between 36000 - 60000 £ per year.
An education provider in the United Kingdom is looking for a Machine Learning and Data Engineering Tutor and Marker to join their team. This role involves delivering high-quality teaching for undergraduate and postgraduate levels, with significant professional and academic experience required.
Responsibilities include:
- Curriculum design
- Assessment development
- Online teaching
Candidates should possess a Level 7 qualification or equivalent and excellent communication skills. The role offers hybrid working and various benefits including free study opportunities.
Hybrid ML & Data Engineering Tutor and Assessor in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML & Data Engineering Tutor and Assessor in London
✨Tip Number 1
Network like a pro! Reach out to fellow educators and professionals in the field of Machine Learning and Data Engineering. Join relevant online forums or LinkedIn groups where we can share insights and job leads.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your teaching materials, curriculum designs, and any assessments you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for tutoring roles and think about how your experience aligns with the job description. We want to highlight our communication skills and passion for teaching.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Hybrid ML & Data Engineering Tutor and Assessor in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your professional and academic experience in machine learning and data engineering. We want to see how your background aligns with the role, so don’t hold back on those impressive qualifications!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills and experiences relate to curriculum design and online teaching. We love seeing candidates who take the time to connect their expertise with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate well-structured applications that are easy to read and understand!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and data engineering. Be ready to discuss your professional and academic experiences in detail, as they’ll want to see how you can apply your knowledge in a teaching context.
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching style. Think about how you would explain complex concepts to students at different levels. You might even want to prepare a mini-lesson or example to showcase your approach during the interview.
✨Curriculum Design Insights
Since curriculum design is part of the role, come prepared with ideas or examples of how you would structure a course. This shows that you’re proactive and have thought about how to engage students effectively.
✨Communicate Clearly
Excellent communication skills are a must for this role. Practice articulating your thoughts clearly and concisely. Remember, it’s not just about what you say, but how you say it. Confidence and clarity will go a long way!
