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- Tasks: Design and develop intelligent AI systems using LLMs and RAG pipelines.
- Company: Leading UK technology firm known for innovation and diversity.
- Benefits: Competitive salary, flexible working hours, and a vibrant work culture.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 3+ years in AI/ML, strong Python and AWS skills, knowledge of TensorFlow or PyTorch.
- Other info: Exciting opportunities for professional growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in the UK is seeking an experienced AI/ML Engineer to design, develop, and deploy intelligent AI systems using LLMs and RAG pipelines. The ideal candidate has over 3 years of experience in AI/ML, strong Python and AWS skills, and knowledge of frameworks like TensorFlow or PyTorch. This role offers an opportunity to work in a vibrant environment that values diversity and innovation.
AI/ML Engineer: Build Scalable LLM/RAG Solutions in London employer: Genese Solution Limited
Contact Detail:
Genese Solution Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Build Scalable LLM/RAG Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community on LinkedIn or at 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 projects with LLMs and RAG solutions. This is your chance to demonstrate your expertise in Python, AWS, and frameworks like TensorFlow or PyTorch.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML interview questions and be ready to discuss your past experiences. We recommend practicing coding challenges to keep your skills sharp.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI/ML Engineer: Build Scalable LLM/RAG Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, especially in LLMs and RAG pipelines. We want to see how your skills in Python and AWS shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past projects and how they relate to what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your experience with frameworks like TensorFlow or PyTorch. We love seeing how you’ve used these tools to solve real-world problems in your previous roles.
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 Genese Solution Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to LLMs and RAG pipelines. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Experience with Frameworks
Familiarise yourself with TensorFlow and PyTorch, as these are crucial for the role. Prepare to talk about how you've used these frameworks in past projects. If possible, bring examples of your work or even a portfolio to demonstrate your capabilities.
✨Emphasise Problem-Solving Skills
AI/ML roles often involve tackling complex problems. Be prepared to discuss challenges you've faced in previous positions and how you overcame them. This will highlight your critical thinking and adaptability, which are key traits for success in this vibrant environment.
✨Cultural Fit Matters
Since the company values diversity and innovation, think about how your personal values align with theirs. Be ready to share experiences that showcase your ability to work in diverse teams and contribute to an innovative culture. This will help you stand out as a candidate who fits well within their team.
