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- Tasks: Develop LLM-powered systems and design innovative AI architectures.
- Company: High-growth tech company in the UK with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and significant technical impact.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 2+ years in machine learning, strong Python skills, and AI deployment experience.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 30000 - 50000 £ per year.
A high-growth technology company in the UK seeks a Machine Learning Engineer with over 2 years of experience. Responsibilities include developing LLM-powered systems, designing AI architectures, and working on real-time ML solutions.
The ideal candidate has strong Python skills along with hands-on experience in deploying AI systems using frameworks like LangGraph. This role offers hybrid working opportunities and significant technical impact.
LLM & Agentic AI Engineer - Production Systems (Hybrid) in London employer: ViVA Tech Talent
Contact Detail:
ViVA Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM & Agentic AI Engineer - Production Systems (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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, especially those involving LLMs and AI architectures. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with frameworks like LangGraph. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace LLM & Agentic AI Engineer - Production Systems (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python expertise and any experience you have with deploying AI systems. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with LLM-powered systems and real-time ML solutions to catch our eye.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your relevant experience.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at ViVA Tech Talent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest developments in LLMs and AI architectures. Brush up on your Python skills and be ready to discuss specific frameworks like LangGraph. The more you can demonstrate your technical knowledge, the better!
✨Showcase Your Projects
Prepare to talk about your previous projects involving real-time ML solutions. Bring examples that highlight your hands-on experience in deploying AI systems. This will not only show your expertise but also your ability to apply your skills in practical scenarios.
✨Understand the Company’s Vision
Research the company’s goals and how they align with your skills. Be ready to discuss how you can contribute to their high-growth trajectory, especially in developing LLM-powered systems. This shows you’re genuinely interested and invested in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and future projects. This not only demonstrates your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
