At a Glance
- Tasks: Create and deploy machine learning models using Python and PyTorch.
- Company: Join a dynamic tech company in the heart of London.
- Benefits: Competitive pay up to £37, flexible contract role.
- Other info: Great opportunity for growth in a fast-paced environment.
- Why this job: Dive into the exciting world of AI and make a difference.
- Qualifications: Bachelor's in Computer Science and experience in Python and JavaScript.
The predicted salary is between 37000 - 37000 € per year.
Location: London, United Kingdom
Posted: 9 months ago
Tech stack:
- Frontend: React, JavaScript
- Backend: Python, PyTorch
Education:
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical background.
Experience:
- Backend software engineering experience in Python.
- Frontend software engineering experience, preferably with JavaScript and React, including building and deploying user interfaces.
Compensation: up to £37
Role type: Contract
Visa sponsorship: Not provided
Machine Learning Software Engineer in London - Aquent employer: Java Script Works
Aquent is an exceptional employer for Machine Learning Software Engineers, offering a dynamic work culture in the heart of London. With a strong focus on innovation and collaboration, employees benefit from continuous learning opportunities and the chance to work with cutting-edge technologies. The company's commitment to employee growth and a supportive environment makes it an ideal place for those seeking meaningful and rewarding careers in tech.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Software Engineer in London - Aquent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning 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 what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around machine learning concepts and frameworks like PyTorch. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team. Don't miss out!
We think you need these skills to ace Machine Learning Software Engineer in London - Aquent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, JavaScript, and React. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
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 concise but impactful!
Showcase Your Projects:If you've worked on any cool projects related to machine learning or software engineering, make sure to mention them. We love seeing practical applications of your skills, so include links if possible!
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, PyTorch, JavaScript, and React. Brush up on your backend and frontend skills, as you might be asked to demonstrate your knowledge or solve problems on the spot.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Understand the Company’s Focus
Research Aquent and their approach to machine learning. Knowing their products and how they utilise technology can help you tailor your answers and show genuine interest in the role.
✨Practice Problem-Solving
Expect technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be prepared to think aloud while solving problems to demonstrate your analytical skills.
