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- Tasks: Build and optimise ML pipelines for high-volume events in a cutting-edge Voice AI startup.
- Company: Exciting AI startup with multi-million funding, based in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Permanent role with a vibrant office culture and collaborative environment.
- Why this job: Join a pioneering team and shape the future of Voice AI technology.
- Qualifications: Experience in AI/ML engineering and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
A newly established Voice AI startup with multi-million funding is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.
Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products.
- Bachelor’s degree in Computer Science, Machine Learning, or a related field
- Excellent experience as an ML or AI Engineer, with evidence of shipping production systems
- Strong Python skills and experience with FastAPI
This position is a permanent role, based in London, with 3-4 days a week in the company's office.
AI Engineer employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM powered ML products. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and FastAPI knowledge. Practice coding challenges and be ready to discuss your past experiences with shipping production systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by recruiters who are looking for talent like yours.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as an AI or ML Engineer. We want to see clear evidence of your work with LLM powered ML products, so don’t hold back on those details!
Show Off Your Skills: When writing your application, emphasise your strong Python skills and any experience with FastAPI. We’re looking for someone who can hit the ground running, so let us know what you’ve got!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team.
How to prepare for a job interview at Ventula Consulting
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially around LLMs. Be ready to discuss your previous projects and how you've shipped production systems. This is your chance to show off your expertise!
✨Python Proficiency
Since strong Python skills are a must, practice coding challenges or review your past work with Python. Be prepared to demonstrate your coding abilities during the interview, as they might ask you to solve a problem on the spot.
✨Familiarise with FastAPI
If you have experience with FastAPI, great! If not, take some time to learn the basics. Understanding how to build APIs will be crucial for this role, so being able to discuss your familiarity with it will give you an edge.
✨Cultural Fit Matters
This startup environment is likely fast-paced and dynamic. Research the company culture and think about how your values align with theirs. Be ready to share examples of how you've thrived in similar environments before.