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For Companies At a Glance
- Tasks: Design and lead AI solutions, collaborating with teams to innovate across various domains.
- Company: Leading tech firm in the UK with a focus on AI-driven projects.
- Benefits: Remote work flexibility with occasional onsite days and competitive pay.
- Why this job: Join a dynamic project and make a real impact in the AI field.
- Qualifications: Expertise in AI, strong programming skills, and familiarity with vector databases.
- Other info: Opportunity to work in a fast-paced environment with growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in the United Kingdom seeks an AI Engineer for a dynamic project. Working mostly remotely with occasional onsite days in Redhill, you will lead AI-driven innovation in various domains.
Responsibilities
- Design AI solutions and lead AI-driven innovation across various domains.
- Collaborate with cross-functional teams to implement and refine models.
- Fine-tune and optimize AI models for performance and accuracy.
Qualifications
- Proven AI and machine learning expertise.
- Strong programming skills.
- Familiarity with vector databases.
Remote AI Engineer: RAG, LLMs & Vector Search (Contract) in Redhill employer: Free-Work UK
Contact Detail:
Free-Work UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Engineer: RAG, LLMs & Vector Search (Contract) in Redhill
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at tech meetups. 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 AI projects, especially those involving LLMs and vector databases. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. Practice explaining your thought process when designing solutions and optimising models – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Remote AI Engineer: RAG, LLMs & Vector Search (Contract) in Redhill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI and machine learning expertise. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or experiences!
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 engaging and personal – we love to see your personality!
Showcase Your Programming Skills: Since strong programming skills are a must, include specific examples of languages and frameworks you’ve worked with. If you’ve optimised models or worked with vector databases, let us know – we’re all ears!
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 Free-Work UK
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those involving vector databases. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming skills during the interview. You might be asked to solve a coding problem or explain your approach to a specific task. Practising common algorithms and data structures can really help you shine.
✨Collaboration is Key
Since you'll be working with cross-functional teams, be prepared to talk about your collaboration experiences. Share examples of how you've successfully worked with others to implement and refine AI models. This shows you're a team player and can communicate effectively.
✨Optimisation Strategies
Be ready to discuss how you fine-tune and optimise AI models for performance and accuracy. Bring examples of challenges you've faced in this area and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.
