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- Tasks: Develop scalable ML tools and support exciting research initiatives.
- Company: Leading tech organisation in Saffron Walden with an innovative culture.
- Benefits: Competitive salary, flexible working environment, and opportunities for growth.
- Why this job: Join a dynamic team and make a real impact in machine learning.
- Qualifications: Strong Python skills and experience with Pytorch and Tensorflow.
- Other info: Ideal for those seeking a less constrained and creative work atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A leading technological organization in Saffron Walden is seeking a skilled software engineer with a focus on machine learning infrastructure. The ideal candidate has a strong background in Python, Pytorch, and Tensorflow, along with a passion for developing scalable ML tools. You will collaborate in a dynamic team, creating robust solutions to support research initiatives.
Candidates should have a bachelor's degree in computer science and a minimum of 4 years of experience in the field. Join us in an innovative and less constrained working environment.
Python ML Research Engineer - Scalable Tooling in Saffron Walden employer: The Trust
Contact Detail:
The Trust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python ML Research Engineer - Scalable Tooling in Saffron Walden
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 Python and ML projects. This is your chance to demonstrate your expertise in Pytorch and Tensorflow, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as collaboration is key in a dynamic team environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Python ML Research Engineer - Scalable Tooling in Saffron Walden
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, Pytorch, and Tensorflow in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in machine learning infrastructure makes you a great fit for our team. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Yourself: We’re all about innovation and creativity, so let your personality shine through in your application. Share your passion for developing scalable ML tools and how you approach problem-solving. We want to know what makes you tick!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at The Trust
✨Know Your Tech Stack
Make sure you brush up on your Python, Pytorch, and Tensorflow skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've developed scalable ML tools in the past. Think of examples that highlight your ability to create robust solutions and support research initiatives, as this is key for the role.
✨Understand the Company Culture
Research the organisation's values and work environment. Since they mention a less constrained working environment, be ready to discuss how you thrive in dynamic teams and contribute to innovative projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals of the company. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
