Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Mentor aspiring ML professionals through mock interviews and resume reviews.
- Company: Leading career development platform focused on the UK tech industry.
- Benefits: Flexible hours, competitive pay, and the chance to shape future talent.
- Why this job: Make a real difference in the careers of future ML experts.
- Qualifications: 2+ years in ML roles and proficiency in Python and Deep Learning.
- Other info: Earn referral bonuses by bringing friends into the role!
The predicted salary is between 13 - 16 £ per hour.
Our client is a leading career development platform specializing in guiding international talents into the UK tech industry. They are seeking experienced ML professionals to provide targeted coaching for candidates pursuing careers in Machine Learning and Data Science.
- Conduct mock interviews covering ML algorithms, system design, and coding tests
- Provide insights on UK job market trends
- Review and refine technical resumes, GitHub portfolios, and LinkedIn profiles
- Train candidates in STAR method adapted for tech interviews
Requirements:
- 2+ years in ML Engineer/Data Scientist roles at UK/EU companies
- Proficient in Python ML stack and Deep Learning frameworks
- Experience with production‐level model deployment
- Flexible working hours (evenings/weekends available)
Competitive hourly rate. Opportunity to shape future ML talent.
63W3V4YW | Remote | Machine Learning Career Mentor (Part-time) in London employer: TTUKoffer
Contact Detail:
TTUKoffer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 63W3V4YW | Remote | Machine Learning Career Mentor (Part-time) in London
✨Tip Number 1
Get your networking game on! Connect with professionals in the Machine Learning field on LinkedIn and join relevant groups. We can’t stress enough how important it is to build relationships; you never know who might have a lead on your dream job!
✨Tip Number 2
Practice makes perfect! Conduct mock interviews with friends or use platforms that offer interview prep. We recommend focusing on ML algorithms and system design questions, as these are hot topics in the industry right now.
✨Tip Number 3
Tailor your online presence! Make sure your LinkedIn profile and GitHub portfolio showcase your skills and projects effectively. We suggest highlighting your experience with Python and Deep Learning frameworks to catch the eye of potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets seen. Plus, if you refer a friend, you could earn some extra cash while helping someone else land their dream job too!
We think you need these skills to ace 63W3V4YW | Remote | Machine Learning Career Mentor (Part-time) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in Machine Learning and Data Science. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about mentoring in the ML field and how your background makes you a great fit for this role. Keep it engaging and personal!
Showcase Your Online Presence: Don’t forget to include links to your GitHub portfolio and LinkedIn profile. We love seeing your work and how you present yourself online, so make sure these are up-to-date and reflect your best self!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s quick and easy, and ensures your application gets to us without any hiccups. Let’s get started on this journey together!
How to prepare for a job interview at TTUKoffer
✨Know Your ML Fundamentals
Brush up on your machine learning algorithms and concepts. Be ready to discuss how you’ve applied them in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Mock Interviews are Key
Conduct mock interviews focusing on ML system design and coding tests. This practice will help you articulate your thought process clearly and confidently during the actual interview.
✨Tailor Your Resume and Portfolio
Make sure your technical resume, GitHub portfolio, and LinkedIn profile are polished and relevant. Highlight your experience with Python ML stacks and any deep learning frameworks you've used, as these are crucial for the role.
✨Master the STAR Method
Familiarise yourself with the STAR method (Situation, Task, Action, Result) tailored for tech interviews. This will help you structure your answers effectively, especially when discussing past projects or challenges.
