At a Glance
- Tasks: Train and evaluate machine learning models while collaborating with experienced engineers.
- Company: A growing tech company in London focused on real-world AI applications.
- Benefits: Hands-on experience, mentorship, and a collaborative work environment.
- Why this job: Dive into the exciting world of AI and make a real impact.
- Qualifications: Pursuing a degree in Computer Science or related fields with Python skills.
- Other info: Great opportunity for passionate individuals to grow in their careers.
The predicted salary is between 30000 - 42000 £ 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 City of 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 City of 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. This will give you an edge and demonstrate your passion for AI to potential employers.
✨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 real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior ML Engineer: Build Real-World Generative AI in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI shine through! Share any projects or experiences that highlight your interest in machine learning and how you’ve engaged with the field.
Highlight Your Python Skills: Since reliable Python skills are a must, make sure to showcase your programming experience. Include specific examples of projects or coursework where you've used Python, especially in relation to machine learning.
Tailor Your CV and Cover Letter: Don’t just send out a generic CV! Tailor your application to reflect the job description. Mention how your background in Computer Science aligns with the role and what you can bring to our team at StudySmarter.
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 exciting opportunity to join our collaborative environment!
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 team’s current projects, the mentorship opportunities available, or how they approach collaboration. This shows you're genuinely interested in the role and the company.