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- Tasks: Design and implement advanced NLP models to enhance AI capabilities.
- Company: Leading finance tech firm in Greater London with a focus on innovation.
- Benefits: Private healthcare, annual leave, and performance-based bonuses.
- Why this job: Join a cutting-edge team and work on exciting AI projects that make a difference.
- Qualifications: Experience with NLP frameworks, large language models, and Python required.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading finance technology firm in Greater London is seeking a Machine Learning Engineer NLP Specialist to design and implement advanced Natural Language Processing models. You will work on innovative projects to enhance AI capabilities while processing diverse datasets.
Ideal candidates have proven experience with:
- NLP frameworks
- Large language models
- Python
The position offers benefits including private healthcare, annual leave, and a performance-based bonus.
NLP ML Engineer: RAG & LLMs for Smart Search employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP ML Engineer: RAG & LLMs for Smart Search
✨Tip Number 1
Network like a pro! Reach out to folks in the finance tech space, especially those working with NLP and ML. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP projects or contributions to open-source. This gives us a tangible way to see what you can do beyond the usual application.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and be ready to discuss your experience with NLP frameworks and large language models. We love seeing candidates who can think on their feet.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in joining our team.
We think you need these skills to ace NLP ML Engineer: RAG & LLMs for Smart Search
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NLP frameworks and large language models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
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 you can contribute to our innovative projects. Keep it concise but impactful – we love a good story!
Showcase Your Python Skills: Since Python is key for this role, make sure to mention any specific projects or experiences where you've used it effectively. We’re keen to see how you’ve applied your coding skills in real-world scenarios.
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 Eliden
✨Know Your NLP Stuff
Make sure you brush up on your knowledge of Natural Language Processing frameworks and large language models. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Understand the Company’s Vision
Research the finance technology firm and understand their products and services. Knowing how they leverage AI and NLP in their operations will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Prepare Questions to Ask
Interviews are a two-way street, so prepare insightful questions about the team, projects, and company culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
