Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train and evaluate machine learning models while collecting data for real-world AI applications.
- Company: A growing tech company in London with a focus on innovation.
- Benefits: Mentorship, collaborative environment, and hands-on experience in AI.
- Why this job: Dive into the world of AI and work on exciting generative projects.
- Qualifications: Pursuing a degree in Computer Science or related fields with Python skills.
- Other info: Great opportunity for career growth in a dynamic tech environment.
The predicted salary is between 28800 - 43200 £ per year.
A growing tech company in London is seeking a Junior Machine Learning Engineer to work on real-world AI applications and gain hands-on experience. The role involves training and evaluating machine learning models, data collection, and collaboration with experienced engineers.
Ideal candidates should be pursuing a degree in Computer Science or related fields and have reliable Python skills. This position offers mentorship and a collaborative environment, making it a great opportunity for those passionate about AI.
Junior ML Engineer: Build Real-World Generative AI in London employer: Recraft
Contact Detail:
Recraft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior ML Engineer: Build Real-World Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that Junior ML Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. We love seeing practical applications of your knowledge, so make sure to highlight any real-world AI applications you've worked on.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of generative AI.
We think you need these skills to ace Junior ML Engineer: Build Real-World Generative AI in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We love seeing how you've used it in projects or coursework, so don’t hold back on sharing those details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We want to see how your background in Computer Science aligns with our mission at StudySmarter, so make it personal!
Be Genuine About Your Passion: Let us know why you're excited about AI and machine learning! We appreciate candidates who are genuinely passionate about the field, so share your enthusiasm in your written application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity!
How to prepare for a job interview at Recraft
✨Know Your Python Inside Out
Since reliable Python skills are a must for this role, make sure you brush up on your Python knowledge. Be prepared to discuss your experience with libraries like NumPy, Pandas, and TensorFlow, and maybe even solve a coding challenge during the interview.
✨Show Your Passion for AI
This position is all about real-world AI applications, so let your enthusiasm shine through! Share any personal projects or coursework related to machine learning that you've worked on. This will demonstrate your commitment and eagerness to learn.
✨Prepare for Technical Questions
Expect some technical questions about machine learning concepts and algorithms. Brush up on topics like supervised vs unsupervised learning, overfitting, and model evaluation metrics. Being able to explain these clearly will show your understanding of the field.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions to ask your interviewers. Inquire about the types of projects you'll be working on, the mentorship opportunities available, and how the team collaborates. This shows you're genuinely interested in the role and the company.
