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.
- Other info: Great opportunity to work in a dynamic environment and grow your career.
- 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, we offer competitive compensation, flexible working arrangements, and ample opportunities for professional growth, ensuring our employees thrive both personally and professionally. Join us to be part of a collaborative team that values creativity and encourages continuous learning in the ever-evolving tech landscape.
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, attend meetups, and connect with other ML enthusiasts. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and React. This is your chance to demonstrate your expertise in machine learning applications and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice makes perfect, so get comfortable with explaining your thought process and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better shot at landing that dream role.
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 match the job description, so don’t be shy about showcasing relevant projects or roles you've had!
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 this role. We love seeing enthusiasm and personality!
Showcase Your Projects:If you've worked on any machine learning applications or relevant software projects, make sure to mention them. We’re keen to see what you’ve built and how you’ve applied your skills in real-world scenarios.
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 don’t miss out on any important updates from us!
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 technologies they use, or their approach to machine learning. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
