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- Tasks: Explore groundbreaking NLP and LLM technologies in a dynamic research environment.
- Company: Leading machine-learning software company based in Cambridge.
- Benefits: Hybrid work model, competitive salary, and attractive benefits package.
- Why this job: Join a team pushing the limits of AI and make a real difference.
- Qualifications: Ph.D. in a relevant field and expertise in Python frameworks like PyTorch and TensorFlow.
- Other info: Perfect for innovative researchers eager to advance AI applications.
The predicted salary is between 43200 - 72000 £ per year.
An industry-leading machine-learning software company in Cambridge seeks a Machine Learning Research Engineer to investigate cutting-edge technologies in NLP and LLMs.
Candidates must hold a Ph.D. in a relevant field and have a strong understanding of traditional machine learning concepts along with experience in Python frameworks like PyTorch and TensorFlow.
The position offers a hybrid work model, competitive salary, and attractive benefits package, making it ideal for innovative researchers pushing the boundaries of AI applications.
NLP & LLM Research Engineer — Cambridge (Hybrid) in Newcastle upon Tyne employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP & LLM Research Engineer — Cambridge (Hybrid) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with researchers 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 in NLP and LLMs. Whether it's GitHub repos or a personal website, let your work speak for itself and demonstrate your expertise in Python frameworks like PyTorch and TensorFlow.
✨Tip Number 3
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss your research. Practice common interview questions and even do mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for innovative minds like yours. Keep an eye on our listings and make sure your application stands out!
We think you need these skills to ace NLP & LLM Research Engineer — Cambridge (Hybrid) in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Ph.D. and any relevant experience in NLP and LLMs. We want to see how your background aligns with our cutting-edge projects, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the listing, especially around machine learning concepts and Python frameworks like PyTorch and TensorFlow. This helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and passion for the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in Cambridge!
How to prepare for a job interview at NLP PEOPLE
✨Know Your NLP and LLM Inside Out
Make sure you brush up on the latest advancements in Natural Language Processing and Large Language Models. Be prepared to discuss specific projects you've worked on, showcasing your understanding of both traditional machine learning concepts and how they apply to NLP.
✨Showcase Your Python Skills
Since experience with Python frameworks like PyTorch and TensorFlow is crucial, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning to boost your confidence.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's research direction, team dynamics, and the hybrid work model. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Highlight Your Innovative Mindset
This position is all about pushing boundaries, so be sure to share examples of how you've approached problems creatively in your past work. Discuss any unique solutions or ideas you've implemented that could relate to AI applications, as this will resonate well with the interviewers.
