At a Glance
- Tasks: Lead NLP and ML projects to enhance patent search performance and optimise algorithms.
- Company: Join a pioneering AI-first patent research platform in Greater London.
- Benefits: Enjoy competitive salary, stock options, generous holiday, and flexible work arrangements.
- Why this job: Make a significant impact in the AI field while working with cutting-edge technology.
- Qualifications: 8+ years of experience in NLP/ML, strong Python skills, and a passion for innovation.
- Other info: Flexible work schedule with 3 days in-office, fostering a dynamic and collaborative environment.
The predicted salary is between 60000 - 84000 £ per year.
A leading AI-first patent research platform in Greater London seeks a Staff Level Applied Scientist to be the technical lead for all data and NLP tasks.
Responsibilities include:
- Improving search performance
- Optimizing algorithms
- Designing agentic workflows
Candidates should have:
- Over 8 years of experience
- Extensive Python skills
- A background in machine learning and NLP
The role offers flexibility with 3 days in-office work per week, competitive benefits including stock options, and generous holiday allowance.
Staff Applied Scientist - Lead NLP/ML for Patents (London) employer: NLPatent
Contact Detail:
NLPatent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Applied Scientist - Lead NLP/ML for Patents (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to Python, algorithms, and NLP. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨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 enthusiasm!
We think you need these skills to ace Staff Applied Scientist - Lead NLP/ML for Patents (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your extensive Python skills and experience in machine learning and NLP. We want to see how your background aligns with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience can improve search performance and optimise algorithms, as these are key responsibilities for us at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 with StudySmarter.
How to prepare for a job interview at NLPatent
✨Know Your NLP and ML Inside Out
Make sure you brush up on your knowledge of natural language processing and machine learning. Be ready to discuss specific algorithms you've worked with, how you've optimised them, and the impact they had on previous projects. This will show that you're not just familiar with the concepts but have practical experience.
✨Showcase Your Python Skills
Since extensive Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common Python challenges can help you feel more confident during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to patent research and data optimisation. Think about past experiences where you've improved search performance or designed workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the Company’s Vision
Research the company’s mission and values, especially their focus on AI in patent research. Be prepared to discuss how your background aligns with their goals and how you can contribute to their success. Showing genuine interest in their work will set you apart from other candidates.