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For Companies At a Glance
- Tasks: Lead data and NLP projects, optimise search algorithms, and design agentic workflows.
- Company: NLPatent, a pioneering AI-first patent research platform.
- Benefits: Stock options, 25 days holiday, pension contributions, and flexible working.
- Why this job: Join a cutting-edge team and shape the future of patent research with AI.
- Qualifications: 8+ years in engineering and data science, with strong Python and NLP skills.
- Other info: Dynamic role with opportunities for training and development in London.
The predicted salary is between 54000 - 84000 £ per year.
NLPatent is an industry leading AI-first patent research platform that was an early mover in the application of Large Language Models. We use a combination of proprietary and off-the-shelf machine learning models and NLP techniques to help our users answer patent related research questions such as "Is my invention patentable?" Increasingly, we are using generative LLMs to build agentic workflows that answer research questions without any human intervention.
Responsibilities
- Be the technical lead for all data and NLP related work at NLPatent.
- Improve search performance (precision and recall).
- Optimize search algorithms to ensure quick results.
- Design and implement agentic workflows.
- Build and maintain data pipelines.
Qualifications
- 8+ years of commercial engineering and data science experience.
- Experience with technical leadership.
- Extensive experience with Python programming.
- Commercial Machine Learning experience.
- Experience working in Natural Language Processing (NLP).
- Experience training machine learning models using Tensorflow and PyTorch.
- Experience working with search databases (e.g. Elasticsearch, Opensearch, etc.).
- Experience with cloud service providers (e.g. AWS).
- Willing to work 3 days per week onsite in the office in London.
Benefits
- Stock Option Plan.
- 25 days holiday allowance.
- Pension contributions.
- Flexible Working.
- Training & Development.
Staff/Senior Applied Scientist employer: NLPatent
Contact Detail:
NLPatent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff/Senior Applied Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those involving NLP and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to data science and NLP, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff/Senior Applied Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff/Senior Applied Scientist role. Highlight your experience with Python, NLP, and machine learning. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and patent research, and explain why you’re excited about joining NLPatent. Let us know how you can contribute to our mission.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with search algorithms, data pipelines, or any generative LLMs. We love seeing real-world applications of your skills.
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 it gets into the right hands. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at NLPatent
✨Know Your NLP Inside Out
Make sure you brush up on your Natural Language Processing knowledge. Be ready to discuss specific techniques you've used, especially with generative LLMs. Prepare examples of how you've improved search performance or optimised algorithms in past projects.
✨Showcase Your Technical Leadership
As a staff level applied scientist, you'll need to demonstrate your leadership skills. Think of instances where you've led a team or project, and be prepared to explain your approach to guiding others through technical challenges.
✨Get Familiar with Their Tech Stack
Research the tools and technologies mentioned in the job description, like Python, TensorFlow, and Elasticsearch. If you have experience with cloud services like AWS, be ready to share how you've leveraged them in your work.
✨Prepare for Problem-Solving Questions
Expect to face some technical problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to tackle complex issues.
