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- Tasks: Develop and maintain cutting-edge NLP systems for text analysis.
- Company: Join a leading tech firm revolutionising content analysis in regulated industries.
- Benefits: Enjoy remote work flexibility and opportunities for travel to exciting client sites.
- Why this job: Be part of a growing team making a real impact with innovative technology.
- Qualifications: MS/PhD in Computational Linguistics/NLP or relevant experience in Computer Science required.
- Other info: Knowledge of C#, Java, or C++ is a plus; machine learning understanding is desirable.
The predicted salary is between 36000 - 60000 £ per year.
Leading technology & consulting company in the content analysis space seeks Computational Linguist to own the development of a unique NLP system. This is a fantastic opportunity for someone with a strong background in Computational Linguistics and Natural Language Processing to work with a unique product in a growing environment. My client are an established technology and consulting firm with a strong presence in the regulatory governance and content space. Their technology is used by firms around the world to automatically retrieve information on governance and legislation in regulated industries. We’re seeking an experienced Computational Linguist to own the further development and maintenance of their flagship, NLP-based text analysis tools. The successful candidate will work with other technical resource to continually drive improvements in accuracy and functionality, as well as supporting other areas of the business, as the resident text analysis specialist.
This position can be based from home, although some occasional travel to the firm’s HQ in Guildford and additional travel to client sites will be required. Mployability are the UK’s leading recruiting services company in the Language Technology domain. We work with a number of technology companies involved in the many diverse areas of Computational Linguistics. We welcome speculative enquiries.
Company:
mployability
Qualifications:
We’re looking for someone who: Has either a relevant MS/PhD in Computational Linguistics/NLP (or related) or an academic background in Computer Science and relevant work experience Ideally Has Knowledge of C# and .Net, but otherwise experience developing systems in Java or C++ in a commercial environment Has knowledge of at least one other European language Has an understanding of Machine Learning algorithms (desirable, although don’t be put off applying if you don’t) Has some knowledge of modern software engineering methodology, unit testing and source code control Is able to explain technology to the non-technical
Educational level:
Master Degree
Tagged as: Computational Linguistics, Industry, Machine Learning, Master Degree, Natural Language Processing, NLP, United Kingdom
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Computational Linguist employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Linguist
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and Computational Linguistics. Follow industry leaders on social media and engage with their content to stay updated. This knowledge will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the Computational Linguistics space. Attend relevant meetups, webinars, or conferences where you can connect with others in the industry. Building relationships can often lead to job opportunities that aren't advertised.
✨Tip Number 3
Brush up on your programming skills, especially in C#, Java, or C++. Consider working on personal projects or contributing to open-source projects to demonstrate your coding abilities. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you can explain complex technical concepts to non-technical stakeholders. Think of examples from your past experiences where you've successfully communicated intricate ideas. This skill is crucial for the role and will impress potential employers.
We think you need these skills to ace Computational Linguist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Computational Linguistics and Natural Language Processing. Include specific projects or roles that demonstrate your expertise in developing NLP systems.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention how your background aligns with the company's focus on regulatory governance and content analysis.
Showcase Technical Skills: Clearly list your technical skills, especially in programming languages like C#, Java, or C++. If you have experience with Machine Learning algorithms, make sure to highlight that as well.
Demonstrate Communication Skills: Since the role requires explaining technology to non-technical stakeholders, include examples in your application that showcase your ability to communicate complex concepts clearly and effectively.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like C#, Java, or C++. Highlight any projects where you've applied your knowledge of NLP and Computational Linguistics. This is your chance to demonstrate your technical prowess.
✨Understand the Company’s Technology
Research the company's NLP-based text analysis tools and their applications in regulatory governance. Familiarise yourself with their technology and be ready to discuss how you can contribute to its development and improvement.
✨Communicate Clearly
As a Computational Linguist, you'll need to explain complex concepts to non-technical stakeholders. Practice articulating your ideas clearly and concisely, ensuring that you can bridge the gap between technical and non-technical audiences.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work in a team. Think of examples from your past experiences where you've successfully tackled challenges in NLP or software development, and be ready to share those stories.
