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- Tasks: Join our AI team to build next-gen AI-native infrastructure and architectures.
- Company: Dynamic tech company in Edinburgh with a focus on innovation.
- Benefits: Competitive salary, 33 days leave, private medical insurance, and professional development opportunities.
- Why this job: Kickstart your career in AI with world-class experts and exciting projects.
- Qualifications: Degree in Computer Science or related field; proficiency in C/C++ and Python.
- Other info: Junior candidates welcome; excellent growth potential in a high-growth environment.
The predicted salary is between 30000 - 40000 £ per year.
Our client is seeking a Systems Research Engineer to join their AI team in Edinburgh. This is a full-time, permanent role focused on building the next generation of AI-native infrastructure and "Agentic Serving" architectures. Working at the cutting edge of LLM workloads and distributed systems, you will be supported by world-class experts in a high-growth environment. This is a unique opportunity to enter the AI sector, offering an exceptional career path and long-term growth potential. Junior-level candidates are welcome to apply.
About the Role
- A Degree in Computer Science / Electrical Engineering, or a related field
- Proficiency in C/C++
- Experience in Python for prototyping
- Hands-on experience with LLM frameworks
- Knowledge in one of these areas: distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure
- Skilled in systems research, distributed algorithms, and performance profiling
Pay range and compensation package
- Competitive salary
- 33 days annual leave per year (including UK public holidays)
- Group Personal Pension
- Life insurance
- Private medical insurance
- Medical expense claim scheme
- Employee Assistance Program (EAP)
- Cycle to Work scheme
- Company sports club and social events
- Opportunities for funded additional professional certifications or training, where relevant to the business
If you are ready to turn your technical expertise into strategic impact, please send your CV and research portfolio (if any) to Maggie Kwong.
Systems Research Engineer in Edinburgh employer: Edinburgh City Football Club Limited.
Contact Detail:
Edinburgh City Football Club Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Research Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or prototypes in Python or C/C++, make sure to highlight them in conversations. Real-world examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems and performance profiling. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Systems Research Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in C/C++ and Python, as well as any relevant experience with LLM frameworks. We want to see how your background fits the Systems Research Engineer role, so don’t be shy about showcasing your strengths!
Showcase Your Projects: If you’ve worked on any projects related to distributed systems or AI infrastructure, include them! We love seeing hands-on experience, so share your research portfolio if you have one. It’s a great way to demonstrate your passion and expertise.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make sure your key points stand out, and don’t forget to proofread for any typos!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Edinburgh City Football Club Limited.
✨Know Your Tech
Make sure you brush up on your knowledge of C/C++ and Python, as these are key skills for the role. Familiarise yourself with LLM frameworks and be ready to discuss how you've used them in past projects or studies.
✨Understand the AI Landscape
Since this role is focused on AI-native infrastructure, take some time to research current trends in AI and distributed systems. Being able to talk about recent advancements or challenges in the field will show your genuine interest and initiative.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of distributed algorithms and performance profiling. Practise explaining complex concepts clearly and concisely, as this will demonstrate your communication skills and technical prowess.
✨Show Your Passion for Learning
As a junior candidate, it's important to convey your eagerness to learn and grow. Be prepared to discuss any relevant coursework, personal projects, or certifications you've pursued, and express your enthusiasm for the opportunities this role offers.