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- Tasks: Guide aspiring ML professionals through mock interviews and resume refinement.
- Company: Leading UK career development platform focused on tech talent.
- Benefits: Flexible hours, competitive pay, and impactful mentoring experience.
- Why this job: Shape the future of Machine Learning while working remotely and flexibly.
- Qualifications: Over two years in Machine Learning and strong Python skills.
- Other info: Join a dynamic team dedicated to empowering international tech talents.
The predicted salary is between 24000 - 36000 £ per year.
A leading career development platform based in the UK is looking for a part-time Machine Learning Career Mentor to guide international talents entering the tech industry.
Responsibilities include:
- Conducting mock interviews
- Providing job market insights
- Refining candidates' technical resumes
The ideal candidate will have:
- Over two years of experience in Machine Learning roles
- Proficiency in Python
This role offers flexibility with hours, competitive pay, and the chance to shape future ML professionals.
Remote ML Career Coach & Interview Mentor (Part-Time) in London employer: TTUKoffer
Contact Detail:
TTUKoffer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Career Coach & Interview Mentor (Part-Time) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML field on LinkedIn or join relevant online communities. We can help you connect with others who share your passion and might even have job leads.
✨Tip Number 2
Practice makes perfect! Schedule mock interviews with us to boost your confidence and refine your answers. The more you practice, the better you'll perform when it counts.
✨Tip Number 3
Stay updated on industry trends! Follow tech blogs, podcasts, and webinars to keep your knowledge fresh. This will not only impress interviewers but also help you understand what employers are looking for.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities tailored for you. Plus, we’re here to support you every step of the way, from application to interview prep.
We think you need these skills to ace Remote ML Career Coach & Interview Mentor (Part-Time) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Machine Learning Career Mentor. Highlight your experience in ML roles and any relevant skills, especially in Python. We want to see how your background aligns with what we’re looking for!
Showcase Your Mentoring Skills: In your application, don’t forget to mention any previous mentoring or coaching experience you have. We’re keen on candidates who can guide others, so share examples of how you've helped others succeed in their careers.
Be Authentic: When writing your cover letter, let your personality shine through! We appreciate authenticity and want to know what makes you tick. Share your passion for machine learning and helping others navigate their career paths.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at TTUKoffer
✨Know Your Stuff
Make sure you brush up on your Machine Learning knowledge, especially the latest trends and tools in the industry. Be ready to discuss your experience with Python and any relevant projects you've worked on.
✨Mock Interviews are Key
Since this role involves conducting mock interviews, practice makes perfect! Set up a few mock interviews with friends or colleagues to get comfortable with common questions and refine your answers.
✨Showcase Your Passion
Let your enthusiasm for Machine Learning shine through. Talk about why you love the field and how you stay updated with new developments. This can really set you apart from other candidates.
✨Tailor Your Resume
Before the interview, ensure your resume highlights your relevant experience and skills. Focus on your achievements in previous roles and how they relate to the position you're applying for. A well-crafted resume can make a great first impression!
