Junior ML Engineer — Real ML Work, London On‑Site

Junior ML Engineer — Real ML Work, London On‑Site

London Entry level 30000 - 40000 £ / year (est.) No working from home possible
Recraft

At a Glance

  • Tasks: Work on real-world AI applications and enhance creative tools with machine learning.
  • Company: Recraft, a forward-thinking company in the AI space.
  • Benefits: Gain crucial experience, collaborate with experts, and develop your skills.
  • Other info: Join a dynamic team in London with great growth potential.
  • Why this job: Dive into the exciting world of AI and make a tangible impact.
  • Qualifications: Strong Python skills and relevant studies in machine learning.

The predicted salary is between 30000 - 40000 £ per year.

Recraft is looking for a Junior Machine Learning Engineer in Greater London to work on real-world AI applications, gaining crucial experience in model development and deployment. You will collaborate with research scientists and engineers to enhance Recraft’s AI-driven creative tools.

This role involves training and evaluating machine learning models and contributing to experiments to improve system efficiency. Ideal candidates are pursuing relevant studies and have strong Python skills.

Junior ML Engineer — Real ML Work, London On‑Site employer: Recraft

Recraft is an exceptional employer that fosters a collaborative and innovative work culture, where Junior Machine Learning Engineers can thrive in the vibrant tech hub of Greater London. With a focus on real-world AI applications, employees benefit from hands-on experience, mentorship from seasoned professionals, and ample opportunities for personal and professional growth. The company values creativity and encourages its team members to contribute to cutting-edge projects, making it a rewarding place to build a meaningful career in machine learning.

Recraft

Contact Details:

Recraft Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior ML Engineer — Real ML Work, London On‑Site

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. This is your chance to demonstrate your Python prowess and real-world applications of your work.

Tip Number 3

Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with research scientists and engineers.

Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets noticed!

We think you need these skills to ace Junior ML Engineer — Real ML Work, London On‑Site

Machine Learning
Model Development
Model Deployment
Python
Collaboration
Experimentation
System Efficiency Improvement

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 aligns with the Junior ML Engineer position, so make it clear why you're a great fit for us!

Be Genuine:Let your personality shine through in your written application. We’re looking for candidates who are not just skilled but also passionate about AI and machine learning, so don’t be afraid to express your enthusiasm!

Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Recraft

Know Your ML Basics

Brush up on your machine learning fundamentals before the interview. Be ready to discuss concepts like model training, evaluation metrics, and deployment strategies. This will show that you’re not just a Python whiz but also understand the core principles behind the technology.

Showcase Your Projects

Prepare to talk about any relevant projects you've worked on, especially those involving real-world applications of machine learning. Whether it's a university project or a personal endeavour, be ready to explain your role, the challenges you faced, and how you overcame them.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about Recraft’s AI-driven tools and their current projects. This shows your genuine interest in the company and helps you gauge if it’s the right fit for you.

Practice Python Coding

Since strong Python skills are essential for this role, practice coding problems related to machine learning. You might be asked to solve a problem on the spot, so being comfortable with libraries like NumPy and Pandas will give you an edge.