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- Tasks: Develop and scale AI workflows using cutting-edge technologies in a dynamic startup.
- Company: Exciting AI startup with a focus on innovation and collaboration.
- Benefits: Ownership of projects, exposure to strategic decisions, and a supportive team environment.
- Why this job: Join a high-trust culture and make a real impact in the AI field.
- Qualifications: Strong Python skills and experience in deploying machine learning models.
- Other info: Work closely with the founding team and enjoy excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A growing AI startup seeks an Applied AI Engineer to scale its intelligence layer. The role involves developing production MLOps, LLM-driven workflows, and cloud-native AI infrastructure.
Candidates must have strong Python and machine learning experience, with hands-on knowledge of deploying ML models.
This opportunity offers real ownership and exposure to strategic decisions, as well as the chance to work directly with the founding team in a high-trust engineering culture.
Production AI Engineer: LLMs, Graph ML & Geo Analytics in Liverpool 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 Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work at startups. 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 MLOps and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML knowledge. Be ready to discuss your hands-on experience with deploying models and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Production AI Engineer: LLMs, Graph ML & Geo Analytics in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and machine learning experience in your application. We want to see how you've deployed ML models in the past, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to developing production MLOps and LLM-driven workflows. It’ll show us you’re genuinely interested!
Be Authentic: We love seeing the real you! Don’t be afraid to let your personality shine through in your written application. Share your passion for AI and how you envision contributing to our high-trust engineering culture.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at SH Proptech Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning. Be prepared to explain how you've deployed ML models in the past, as this will show your hands-on knowledge and technical expertise.
✨Showcase Your MLOps Experience
Since the role involves developing production MLOps, come armed with examples of workflows you've built or optimised. Discuss any cloud-native AI infrastructure you've worked with, as this will demonstrate your ability to scale intelligence layers effectively.
✨Emphasise Ownership and Initiative
This position offers real ownership, so highlight instances where you've taken the lead on projects or made strategic decisions. Show that you're proactive and can contribute to a high-trust engineering culture by sharing your thoughts on collaboration and teamwork.
✨Engage with the Founding Team's Vision
Research the startup's mission and values before the interview. Be ready to discuss how your skills align with their goals and express your enthusiasm for working directly with the founding team. This will help you stand out as a candidate who is genuinely invested in their success.
