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For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI models in cloud-native environments.
- Company: Fast-growing AI startup in the UK with a culture of trust and autonomy.
- Benefits: Significant equity opportunities and direct access to leadership.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong Python and SQL skills, experience with LLMs, and microservices knowledge.
- Other info: Exciting opportunity for high autonomy and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing AI startup in the UK is seeking an Applied AI Engineer to enhance their intelligence layer. This role involves developing production ML systems, working on MLOps pipelines, and deploying AI models in cloud-native environments.
Ideal candidates should have:
- Strong Python and SQL skills
- Hands-on experience with LLMs
- Familiarity with microservices
The position offers significant equity opportunities and direct access to company leadership, promoting a culture of trust and high autonomy.
Production AI Engineer: LLMs, Graph ML & Geo Analytics in Manchester employer: SH Proptech Limited
Contact Detail:
SH Proptech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: LLMs, Graph ML & Geo Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, especially those who work at startups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect Applied AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and MLOps. This is your chance to demonstrate your Python and SQL prowess, so make it shine when you get the opportunity to chat with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of microservices and cloud-native environments. Practice coding challenges and be ready to discuss your past experiences with deploying AI models—this will set you apart from the competition!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge, as it shows your genuine interest in joining our fast-growing team.
We think you need these skills to ace Production AI Engineer: LLMs, Graph ML & Geo Analytics in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these in real projects, especially if you've worked with LLMs or microservices.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. Mention your experience with MLOps pipelines and cloud-native environments to catch our eye.
Be Authentic: We love authenticity! Let your personality shine through in your cover letter. Share why you're excited about this role and how you can contribute to our fast-growing team.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at SH Proptech Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've implemented LLMs or worked with MLOps pipelines. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in deploying AI models, especially in cloud-native environments. Think of examples where you had to troubleshoot or optimise a system, as this will show your ability to think critically and adapt.
✨Understand the Company Culture
Since this startup values trust and autonomy, be ready to discuss how you work independently and contribute to a team. Share experiences that highlight your ability to take initiative and collaborate effectively with others.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects or future goals, particularly around their intelligence layer and how they envision the role of an Applied AI Engineer. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
