At a Glance
- Tasks: Build and deploy user interfaces for exciting machine learning applications.
- Company: Join Java Script Works, a forward-thinking tech company in London.
- Benefits: Earn up to £37 per hour with flexible contract work.
- Why this job: Dive into the world of machine learning and enhance your coding skills.
- Qualifications: Bachelor's degree in Computer Science and experience in Python and React.
The predicted salary is between 74000 - 74000 € per year.
Java Script Works is seeking a Machine Learning Software Engineer for a contract role based in London, United Kingdom. The candidate should have a Bachelor's degree in Computer Science or a related field and possess backend experience in Python, as well as frontend skills in JavaScript and React.
This position involves building and deploying user interfaces with a focus on machine learning applications. The compensation is up to £37 per hour.
ML Software Engineer (Python/React) – Contract, London employer: Java Script Works
Java Script Works is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about machine learning and software development. Located in the vibrant city of London, employees benefit from competitive compensation, flexible working arrangements, and ample opportunities for professional growth and skill enhancement in a collaborative environment. Join us to be part of a forward-thinking team that values creativity and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Software Engineer (Python/React) – Contract, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 involving Python and React. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practise explaining your thought process clearly, as communication is key in tech roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s super easy to navigate!
We think you need these skills to ace ML Software Engineer (Python/React) – Contract, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and React. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any machine learning applications or relevant software projects, include them in your application. We love seeing practical examples of your work, so don’t hold back!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Java Script Works
✨Know Your Tech Stack
Make sure you’re well-versed in Python, JavaScript, and React. Brush up on your backend and frontend skills, as you'll likely be asked to demonstrate your knowledge during the interview. Familiarise yourself with common libraries and frameworks used in machine learning applications.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving machine learning. Be ready to explain your role, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Understand Machine Learning Concepts
Since this role focuses on machine learning applications, ensure you have a solid grasp of key concepts and algorithms. Be prepared to discuss how you would apply these in real-world scenarios, as this could come up in technical questions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the company’s approach to machine learning, or how they measure success in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.
