At a Glance
- Tasks: Conduct cutting-edge research in Natural Language Processing for top companies across Europe.
- Company: Join a leading recruitment firm connecting talent with innovative tech companies.
- Benefits: Enjoy flexible work locations in vibrant cities like Edinburgh, London, and Helsinki.
- Why this job: Make an impact in the exciting field of NLP while collaborating with industry leaders.
- Qualifications: Strong academic background in NLP with notable publications and programming skills in Python or C++.
- Other info: Ideal for those passionate about machine learning and deep learning frameworks.
The predicted salary is between 36000 - 60000 £ per year.
Do you have a passion for Natural Language Processing? Do you have a strong research background in academia with distinguished publications? We have opportunities for you working with some of world’s leading companies in Europe who are looking for your expertise in locations such as Edinburgh, London, Cambridge and Helsinki.
Company:
European Recruitment
Qualifications:
Academic research background in NLP
Ideally you will have a strong publications background with papers in recognised journals such as ACL/NIPS/EMNLP/NACL.
Strong programming skills – e.g. Python, C++.
Experience with Deep Learning/NLP/Machine Learning frameworks such as PyTorch, Tensorflow, Spacy, CoreNLP.
Tagged as: Industry, Machine Learning, Natural Language Processing, NLP, United Kingdom
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Researcher – NLP/Natural Language Processing employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher – NLP/Natural Language Processing
✨Tip Number 1
Network with professionals in the NLP field by attending conferences or meetups. Engaging with others can lead to valuable connections and insights about job openings that may not be advertised.
✨Tip Number 2
Showcase your research work on platforms like ResearchGate or Google Scholar. This not only highlights your expertise but also makes it easier for recruiters to find and assess your contributions to the field.
✨Tip Number 3
Consider contributing to open-source NLP projects on GitHub. This demonstrates your programming skills and familiarity with frameworks like PyTorch or TensorFlow, making you a more attractive candidate.
✨Tip Number 4
Stay updated with the latest trends and advancements in NLP by following relevant journals and blogs. This knowledge can help you during interviews and show your genuine interest in the field.
We think you need these skills to ace Researcher – NLP/Natural Language Processing
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your academic research background in Natural Language Processing. Detail your publications, especially those in recognised journals like ACL, NIPS, EMNLP, or NAACL, as this will showcase your expertise.
Showcase Programming Skills: Clearly outline your programming skills in languages such as Python and C++. Mention any experience you have with Deep Learning, NLP, or Machine Learning frameworks like PyTorch, TensorFlow, Spacy, or CoreNLP to demonstrate your technical capabilities.
Tailor Your CV: Customise your CV to align with the job description. Focus on relevant projects and experiences that relate directly to the role of a Researcher in NLP. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for Natural Language Processing and your desire to contribute to leading companies in Europe. Highlight specific achievements and how they relate to the position you are applying for.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Research
Be prepared to discuss your academic research in detail. Highlight your distinguished publications and explain how they relate to the role. This will demonstrate your expertise and passion for NLP.
✨Demonstrate Technical Skills
Make sure to brush up on your programming skills, especially in Python and C++. Be ready to discuss your experience with frameworks like PyTorch and TensorFlow, as practical knowledge is crucial for this position.
✨Stay Updated on NLP Trends
Familiarise yourself with the latest trends and advancements in Natural Language Processing. Being able to discuss recent developments will show your enthusiasm and commitment to the field.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask the interviewer. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.