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For Companies At a Glance
- Tasks: Build prototypes using NLP and time series data while supporting critical systems.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Enjoy flexible work options and a collaborative team environment.
- Why this job: Be part of exciting AI projects that solve real user problems and drive impact.
- Qualifications: 5+ years in Python, 3+ years in data science, with experience in AI/ML and NLP.
- Other info: Bonus skills include private equity experience and familiarity with Azure or Postgres.
The predicted salary is between 43200 - 72000 £ per year.
About you
You're a self-starter who mixes critical thinking with the delivery of working lightweight systems. You're driven by curiosity and capable of taking prototype datasets and turning them into systems that answer well-defined questions, critiquing your system and keeping it honest as you go.
Key Responsibilities
- Help us build prototypes using NLP and time series data
- Help support 2 long-running critical systems (both powered by NLP and OCR)
Requirements
- A strong product-focused mindset focused on solving real user problems
- 5+ years Python
- You've been in the world of data science for 3+ years
- Demonstrable experience in AI/ML projects using NLP and OCR
- You've hand-built your own evaluation sets and scored your own ML systems
- You've built front-ends that quickly deliver value to users
- Use of unit tests and end-to-end tests around ML/AI systems during both development and long-term support
- Practical experience calling LLMs via APIs and dealing with varied responses
Bonus skills
- Private equity or financial services experience
- Azure, Postgres, Streamlit or equivalents
- Fact extraction, Q&A and RAG on documents
- Comfort working in small teams with fast iteration cycles
Contact Detail:
Lantern Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intermediate AI Engineer/Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and OCR technologies. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your previous projects that involved AI/ML, particularly those using NLP and OCR. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Brush up on your Python skills, especially in relation to building and evaluating ML systems. You might be asked to solve a coding challenge or discuss your coding practices, so being sharp in this area is crucial.
✨Tip Number 4
Network with professionals in the AI and data science community. Engaging with others in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace Intermediate AI Engineer/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML projects, particularly with NLP and OCR. Use specific examples to demonstrate your skills and how they relate to the job description.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and self-starter attitude. Discuss how you've turned prototype datasets into working systems and your approach to critiquing and improving them.
Showcase Relevant Projects: Include a portfolio or links to projects that showcase your experience with Python, LLMs, and any relevant front-end work. Highlight your ability to solve real user problems through these projects.
Prepare for Technical Questions: Be ready to discuss your hands-on experience with unit tests and end-to-end tests around ML/AI systems. Prepare examples of how you've dealt with varied responses when calling LLMs via APIs.
How to prepare for a job interview at Lantern Limited
✨Showcase Your Curiosity
During the interview, demonstrate your curiosity by asking insightful questions about the company's projects and challenges. This not only shows your interest but also highlights your critical thinking skills.
✨Highlight Relevant Experience
Be prepared to discuss your past AI/ML projects, especially those involving NLP and OCR. Share specific examples of how you built prototypes and evaluated your systems, as this aligns with the key responsibilities of the role.
✨Emphasise Problem-Solving Mindset
Make sure to convey your product-focused mindset by discussing how you've solved real user problems in previous roles. Use concrete examples to illustrate how your solutions delivered value to users.
✨Demonstrate Team Collaboration
Since the role involves working in small teams, share experiences where you successfully collaborated with others. Highlight your ability to iterate quickly and adapt to feedback, which is crucial for fast-paced environments.
