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- Tasks: Lead innovative research in NLP and ML, building benchmarks and training LLMs.
- Company: Global telecommunications leader driving AI innovation.
- Benefits: Competitive salary, academic collaboration opportunities, and a chance to publish at top-tier conferences.
- Why this job: Make a real impact in AI while advancing your research career.
- Qualifications: MSc in NLP or ML with strong technical skills and research experience.
- Other info: Join a dynamic team with exciting growth and collaboration opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A global telecommunications company is looking for Research Engineers in the UK to conduct both academic and applied research in Natural Language Processing and Machine Learning. The role involves leading research projects, building benchmarks with datasets, training LLMs, and publishing at top-tier conferences.
Candidates must have a MSc degree in NLP or ML, strong technical skills, and a research track record. Opportunities for academic collaboration are available.
NLP Research Engineer: LLMs, ML & AI Innovation in City of Westminster employer: Huawei
Contact Detail:
Huawei Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Research Engineer: LLMs, ML & AI Innovation in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the NLP and ML fields on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and datasets. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and research experience. We recommend practising common interview questions related to NLP and ML to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace NLP Research Engineer: LLMs, ML & AI Innovation in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your MSc degree in NLP or ML and any relevant technical skills. We want to see what makes you stand out, so don’t hold back on showcasing your research track record!
Tailor Your Application: When applying, tailor your CV and cover letter to the job description. Mention specific projects or experiences that relate to leading research projects and training LLMs. This helps us see how you fit into our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your achievements pop!
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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Huawei
✨Know Your NLP and ML Fundamentals
Make sure you brush up on your core concepts in Natural Language Processing and Machine Learning. Be ready to discuss key algorithms, models, and their applications, especially in relation to LLMs. This will show that you have a solid foundation and are genuinely interested in the field.
✨Showcase Your Research Experience
Prepare to talk about your previous research projects, especially those involving NLP or ML. Highlight any publications or presentations at conferences, as this demonstrates your ability to contribute to academic collaboration. Be specific about your role and the impact of your work.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in NLP and ML, particularly around LLMs. Being able to discuss recent breakthroughs or challenges in the field will impress interviewers and show that you’re engaged with ongoing developments.
✨Prepare Questions for Them
Think of insightful questions to ask about their research projects, team dynamics, or future directions in NLP and ML. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and interests.
