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- Tasks: Design and deliver AI moderation systems using AWS Bedrock.
- Company: Leading digital consultancy in Edinburgh with a focus on innovation.
- Benefits: Flexible work environment and opportunities for growth and development.
- Why this job: Join a team that prioritises impact and work on cutting-edge AI technologies.
- Qualifications: Experience with LLM technologies and Python, plus teamwork skills.
- Other info: Collaborative culture with a focus on building robust AI applications.
The predicted salary is between 30000 - 48000 £ per year.
A leading digital consultancy in Edinburgh is seeking an experienced LLM/Data Scientist to design and deliver AI moderation systems using AWS Bedrock. The ideal candidate will have hands-on experience with LLM technologies and Python, collaborating closely with cross-functional teams to build robust AI applications. This role offers a flexible work environment and a culture prioritising impact over activity, with opportunities for growth and development.
LLM Data Scientist: AI Chat Moderator on Bedrock in Edinburgh employer: CreateFuture
Contact Detail:
CreateFuture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Data Scientist: AI Chat Moderator on Bedrock in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with LLM technologies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI moderation systems or Python applications. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common questions and scenarios related to LLMs and AWS Bedrock to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace LLM Data Scientist: AI Chat Moderator on Bedrock in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM technologies 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 excited about the role and how your background makes you a perfect fit for our team. Let us know what drives you in AI moderation systems.
Showcase Collaboration Skills: Since this role involves working closely with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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 CreateFuture
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be ready to discuss specific technologies you've worked with and how they relate to AI moderation systems. This will show your expertise and passion for the field.
✨Showcase Your Python Skills
Prepare to demonstrate your Python proficiency. You might be asked to solve a coding problem or explain how you've used Python in past projects. Practising common algorithms or data manipulation tasks can really help you shine.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles.
✨Embrace the Culture
Familiarise yourself with the company’s culture that prioritises impact over activity. Be prepared to discuss how you align with this philosophy and share examples of how you’ve focused on meaningful outcomes in your work.
