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- Tasks: Design and deploy advanced NLP and LLM models to revolutionise AI.
- Company: Leading technology firm known for innovation and excellence.
- Benefits: Competitive salary, extensive health coverage, and wellness programmes.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 6+ years in machine learning with strong NLP and LLM expertise.
- Other info: Innovative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology firm is looking for a Senior Machine Learning Engineer to design and deploy advanced NLP and LLM models. The ideal candidate has a minimum of 6 years of experience in machine learning, with strong expertise in NLP and large language models. Proficiency in Python and experience with AWS are highly preferred.
This role offers competitive benefits, including extensive health coverage and wellness programs, fostering a dynamic and innovative working environment.
Senior NLP/LLM Engineer - Build & Scale AI employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior NLP/LLM Engineer - Build & Scale AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and LLM projects. We recommend including GitHub links or even a personal website. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Python and AWS. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨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 Senior NLP/LLM Engineer - Build & Scale AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills and AWS experience, make sure to mention specific projects where you’ve used these technologies. We love seeing practical applications of your expertise!
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 you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Data Freelance Hub
✨Know Your NLP and LLM Inside Out
Make sure you brush up on the latest advancements in NLP and large language models. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and hands-on experience.
✨Showcase Your Python Skills
Since proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can give you an edge.
✨Familiarise Yourself with AWS
As experience with AWS is highly preferred, make sure you understand the services relevant to machine learning, such as SageMaker. Be prepared to discuss how you've used AWS in past projects, including any challenges you faced and how you optimised your workflows.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and company culture. This not only shows your interest but also helps you gauge if the company is the right fit for you.
