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- Tasks: Design and build platforms for high-performance computing and data processing.
- Company: Leading quantitative research and technology firm in Cambridge.
- Benefits: Highly competitive compensation, health benefits, lifestyle perks, and generous leave policies.
- Why this job: Collaborate with researchers and tackle complex challenges using machine learning.
- Qualifications: Talented engineers with a passion for innovation and automation.
- Other info: Join a collaborative environment focused on professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative research and technology firm in Cambridge is seeking talented engineers to design and build platforms for high-performance computing and data processing. The ideal candidate will collaborate closely with researchers and utilize machine learning and automation practices to tackle complex challenges.
This position offers highly competitive compensation along with a comprehensive benefits package, including health, lifestyle, and generous leave policies. Join a collaborative environment aimed at innovation and professional growth.
Platform Engineer - HPC, ML & Low-Latency Infra in Cambridge employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer - HPC, ML & Low-Latency Infra in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in similar roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to high-performance computing and machine learning. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when it’s your turn.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Platform Engineer - HPC, ML & Low-Latency Infra in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-performance computing and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our innovative environment. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Collaboration Skills: Since this role involves working closely with researchers, highlight any past experiences where you’ve collaborated on complex projects. We’re looking for team players who can communicate effectively and drive results together.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at G-Research
✨Know Your Tech Inside Out
Make sure you’re well-versed in high-performance computing, machine learning, and low-latency infrastructure. Brush up on relevant technologies and frameworks that are commonly used in the industry. Being able to discuss your technical knowledge confidently will impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with researchers, be prepared to share examples of past collaborative projects. Highlight how you’ve effectively communicated and worked within a team to solve complex problems. This will demonstrate your ability to thrive in a collaborative environment.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to HPC and data processing on the spot. Use a structured approach to explain your thought process, as this will show your analytical skills and how you tackle complex challenges.
✨Understand the Company Culture
Research the firm’s values and culture before the interview. Be ready to discuss how your personal values align with theirs, especially regarding innovation and professional growth. Showing that you fit into their collaborative environment can set you apart from other candidates.
