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- Tasks: Develop scalable tooling for machine learning and collaborate with research scientists.
- Company: Leading UK technology firm at the forefront of innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join us to work on exciting AR/VR projects and enhance your technical skills.
- Qualifications: 4+ years in Python, strong machine learning skills, and a degree in Computer Science.
- Other info: Dynamic team environment with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm in the UK is seeking a Machine Learning Engineer to develop scalable tooling and infrastructure for research scientists. The ideal candidate will have over 4 years of experience with Python, strong skills in machine learning frameworks like PyTorch, and experience with distributed systems. This role involves collaborating closely with internal teams and requires a Bachelor's degree in Computer Science or a related field. Join us to work on complex AR/VR projects and expand your technical expertise.
Senior Python ML Tooling Engineer in Cambridge employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python ML Tooling Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with machine learning or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and distributed systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions and maybe even do some mock interviews with friends or online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Python ML Tooling Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning frameworks like PyTorch. 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. We love seeing enthusiasm and a bit of personality!
Showcase Your Collaboration Skills: Since this role involves working closely with internal teams, make sure to mention any past experiences where you collaborated on projects. We value teamwork, so let us know how you’ve contributed to group success!
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 – just a few clicks and you’re done!
How to prepare for a job interview at US Tech Solutions
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially any projects where you've developed scalable tooling or infrastructure. They’ll likely want to hear about specific challenges you faced and how you overcame them.
✨Showcase Your Machine Learning Knowledge
Familiarise yourself with machine learning frameworks like PyTorch. Prepare to discuss your hands-on experience with these tools, including any relevant projects. It’s a good idea to have examples ready that demonstrate your understanding of machine learning concepts and how you’ve applied them in real-world scenarios.
✨Collaboration is Key
Since this role involves working closely with internal teams, be prepared to talk about your collaboration experiences. Think of examples where you successfully worked with others to achieve a common goal, particularly in a tech environment. Highlight your communication skills and how you handle feedback.
✨Get Familiar with Distributed Systems
As distributed systems are part of the job, make sure you understand the basics and can discuss any relevant experience. Be ready to explain how you’ve implemented or worked with distributed systems in past roles, and what challenges you faced. This will show your technical depth and readiness for the role.
