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- Tasks: Design training curricula for AI systems and create structured problem sets.
- Company: Innovative early-stage AI startup in London with a small, impactful team.
- Benefits: Competitive salary and per-deliverable bonuses.
- Why this job: Work on cutting-edge AI problems and see your impact quickly.
- Qualifications: Strong Python skills and a curious mindset; fresh graduates welcome.
- Other info: Emphasises rapid experimentation and collaboration without bureaucratic hurdles.
The predicted salary is between 30000 - 40000 £ per year.
An innovative early-stage AI startup in London is seeking a Software Engineer to design training curricula for AI systems and create structured problem sets. This role offers a unique opportunity to work on cutting-edge AI problems in a small, impactful team.
Ideal candidates are fresh graduates or have 1-2 years of experience, possess strong Python skills, and have a curious mindset. The position emphasizes rapid experimentation, collaboration, and producing tangible results without bureaucratic hurdles.
Competitive salary and per-deliverable bonuses are offered.
AI Training Engineer - Build Agentic Learning Systems in London employer: Bloom
Contact Detail:
Bloom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Training Engineer - Build Agentic Learning Systems in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any AI-related work you've done. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and problem-solving scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Training Engineer - Build Agentic Learning Systems in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We love seeing how you've used it in projects or coursework, so don’t hold back on sharing specific examples!
Be Curious and Creative: We’re looking for candidates with a curious mindset. In your application, share any innovative ideas or projects you’ve worked on that showcase your problem-solving skills and creativity.
Keep It Clear and Concise: When writing your application, clarity is key! We appreciate straightforward communication, so keep your language simple and to the point while still showcasing your personality.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Bloom
✨Show Off Your Python Skills
Make sure to brush up on your Python knowledge before the interview. Be ready to discuss your experience with Python, including any projects you've worked on. If you can, prepare to demonstrate your coding skills through a live coding exercise or by discussing specific challenges you've tackled.
✨Emphasise Your Curiosity
This role values a curious mindset, so be prepared to share examples of how you've approached learning new concepts or solving problems in the past. Think about times when your curiosity led you to explore innovative solutions or ask insightful questions that drove a project forward.
✨Highlight Collaboration Experience
Since the position involves working in a small team, it's crucial to showcase your ability to collaborate effectively. Share stories about successful teamwork, how you contributed to group projects, and how you handle differing opinions. This will demonstrate that you're a team player who can thrive in a dynamic environment.
✨Prepare for Rapid Experimentation
The startup environment is all about rapid experimentation, so come ready to discuss how you've approached testing ideas quickly and efficiently. Think of examples where you’ve iterated on a project based on feedback or data, and be ready to explain your thought process behind those decisions.