At a Glance
- Tasks: Lead and maintain cutting-edge scientific computing resources, focusing on ML and data storage.
- Company: UK-Research-and-Innovation, a leading institute in Cambridge.
- Benefits: Fixed-term role until 2030 with opportunities for professional growth.
- Other info: Join a dynamic team dedicated to advancing research and technology.
- Why this job: Make a real impact in scientific computing and work with innovative technologies.
- Qualifications: Experience in scientific computing, troubleshooting, and managing ML workloads.
The predicted salary is between 56700 - 69300 £ per year.
UK-Research-and-Innovation in Cambridge seeks a compute resources specialist for a fixed-term role until 30 September 2030 to support the Institute's Scientific Computing facilities.
The role involves diagnosing and troubleshooting day-to-day issues and maintaining compute and data storage resources, including Machine Learning workloads.
You will take technical and organisational lead responsibility for one or more computing resources and ensure ongoing maintenance of Scientific Computing.
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Lead Scientific Computing Engineer (ML & Storage) in Cambridge employer: UK Research and Innovation
UK Research and Innovation is an exceptional employer, offering a collaborative work culture that values innovation and integrity. Employees benefit from professional development opportunities and the chance to contribute to groundbreaking environmental research, all while working in a supportive environment that prioritises safety and compliance in aviation operations.
Contact Details:
UK Research and Innovation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Scientific Computing Engineer (ML & Storage) in Cambridge
✨Leverage University Connections
If you're still at uni or have recently graduated, tap into your university's career services and research departments. They often have leads on temporary research roles, internships, or projects that haven’t been widely advertised yet!
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We think you need these skills to ace Lead Scientific Computing Engineer (ML & Storage) in Cambridge
Some tips for your application 🫡
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Academic Credentials Matter:Make sure your academic background shines through, especially any relevant degrees, certifications, or publications. If you’ve been involved in conducting research, definitely bring that up! It’s important to demonstrate your theoretical foundations and any formal recognitions you've received in the scientific field.
Include References from Previous Researchers:Having strong references can make all the difference in a temporary role in scientific research. If you can, include references from previous supervisors or professors who can vouch for your research capabilities and work ethic. This adds credibility to your application and gives UK Research and Innovation assurance of your skills and professional behaviour.
How to prepare for a job interview at UK Research and Innovation
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Dive deep into the specific area of scientific research that UK Research and Innovation focuses on. Whether it's biotech or environmental sciences, familiarise yourself with recent publications and breakthroughs. This shows that you're not just interested in the role, but you're genuinely engaged with the field.
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Even if this is a temporary gig, showcase any relevant projects or research you've completed. If you have a portfolio, make it succinct yet impactful. Showcasing tangible results can leave a lasting impression on the interviewers at UK Research and Innovation.
