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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 48000 - 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect 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 NLP and LLM projects. Whether it's GitHub repos or a personal website, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common machine learning concepts, especially around NLP and large language models. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior NLP/LLM Engineer - Build & Scale AI in London
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 don’t miss out on any important updates from our team!
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, like SageMaker. Be prepared to discuss how you've used AWS in past projects, as this could set you apart from other candidates.
✨Prepare Questions About the Company Culture
This role offers a dynamic and innovative working environment, so ask questions that reflect your interest in their culture. Inquire about team collaboration, ongoing training opportunities, and how they support employee wellness. This shows you're not just interested in the job, but also in fitting into their team.
