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

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

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 creativity thrives and every team member's contribution is valued. With a focus on employee growth, we offer opportunities for professional development and the chance to work on cutting-edge AI-driven design tools in a hybrid UK environment, ensuring a balanced work-life experience. Join us to be part of a dynamic team dedicated to crafting high-quality user experiences while enjoying the benefits of visa sponsorship for qualified candidates.

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

Embrace Online Competitions

Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Recraft when you're aiming for that entry-level role.

Join Data Science Meetups

Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Recraft.

Networking Through University Career Services

Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Recraft.

Spotlight Your Skills Online

Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Recraft’s career page, where your unique skills can shine in their entry-level data science openings!

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 Data Skills:As you're aiming for an entry-level data science role at Recraft, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.

Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.

Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Recraft aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.

Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.

How to prepare for a job interview at Recraft

Brush Up on Your Statistics

For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.

Get Hands-On with Tools

Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!

Showcase Relevant Projects

As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.

Prepare for Case Studies

Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!