At a Glance
- Tasks: Develop and optimise LLM applications while collaborating with data engineering teams.
- Company: Join hackajob, a leader in AI innovation based in Greater London.
- Benefits: Enjoy hybrid working, health plans, and professional development opportunities.
- Other info: Be part of a dynamic team driving cutting-edge AI solutions.
- Why this job: Shape the future of AI at scale and make a real-world impact.
- Qualifications: Strong background in data science and proficiency in Python required.
The predicted salary is between 60000 - 80000 € per year.
hackajob is seeking an experienced LLM Data Scientist based in the Greater London area. The ideal candidate will have hands-on experience in developing LLM applications and optimizing prompts.
Responsibilities include:
- Creating evaluation frameworks
- Enhancing content optimization tools
- Collaborating with data engineering teams
A strong foundation in data science and Python is essential. The position offers hybrid working with extensive benefits including health plans and professional development opportunities.
LLM Data Scientist: Shape Real-World AI at Scale in London employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Greater London location provides access to a vibrant tech community, while our commitment to employee growth through professional development opportunities ensures that you can shape your career alongside cutting-edge AI projects. With extensive benefits, including health plans and a flexible hybrid working model, we create an environment where talented individuals can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Data Scientist: Shape Real-World AI at Scale in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with LLM applications. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on any LLM applications or content optimisation tools, make sure to highlight them in your conversations. Having tangible examples can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace LLM Data Scientist: Shape Real-World AI at Scale in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM applications and Python. 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 a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled challenges in data science or LLM development. We love seeing candidates who can think critically and innovate solutions!
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 hackajob
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models. Be ready to discuss your hands-on experience with developing LLM applications and optimising prompts. Prepare examples of projects you've worked on that showcase your skills in this area.
✨Showcase Your Data Science Skills
Since a strong foundation in data science is essential, be prepared to talk about your experience with data analysis and Python. Bring along specific examples of how you've used these skills to solve real-world problems, especially in relation to LLMs.
✨Collaboration is Key
This role involves working closely with data engineering teams, so highlight your teamwork skills. Think of instances where you've successfully collaborated on projects, and be ready to discuss how you can contribute to a team environment.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the evaluation frameworks and content optimisation tools you'll be working on. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
