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- Tasks: Enhance LLM-powered workflows and manage production-level Python code.
- Company: Leading AI solutions provider in the UK with an innovative team.
- Benefits: Competitive salary of £80-90k, equity options, and flexible working arrangements.
- Why this job: Join a dynamic team and work on cutting-edge AI technology.
- Qualifications: Hands-on experience with LLM systems and Docker, plus strong communication skills.
- Other info: Perfect opportunity for builders looking to make an impact in AI.
The predicted salary is between 80000 - 90000 £ per year.
A leading AI solutions provider in the UK is seeking a Machine Learning Engineer to join their early-stage team. In this role, you will enhance LLM-powered document processing workflows and manage production-level Python code. The ideal candidate has hands-on experience with LLM systems and Docker, embraces a builder mindset, and communicates effectively.
Competitive salary of £80-90k per year with equity options. Flexible working arrangements possible.
ML Engineer - Production Focus, LLM Pipelines (Remote) in Sheffield employer: Wave Talent
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Production Focus, LLM Pipelines (Remote) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and 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 LLM projects or any relevant work you've done. This is your chance to demonstrate your hands-on experience and builder mindset to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and Docker knowledge, and be ready to discuss how you've tackled challenges in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace ML Engineer - Production Focus, LLM Pipelines (Remote) in Sheffield
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your hands-on experience with LLM systems and Docker. We want to see how your skills align with the role, so don’t hold back!
Be a Builder: Embrace that builder mindset we love! Share examples of projects or workflows you've enhanced in the past. This will show us that you’re not just about theory but can get things done in practice.
Communicate Clearly: Effective communication is key in our team. Make sure your application is clear and concise. Use straightforward language to explain your experiences and how they relate to the job.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Wave Talent
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss your hands-on experience with LLM systems, including any specific projects you've worked on. This will show that you're not just familiar with the theory but have practical skills to back it up.
✨Show Off Your Python Skills
Since managing production-level Python code is a key part of the role, be prepared to talk about your coding experience. Bring examples of your work or even be ready for a coding challenge. Highlight any projects where you've optimised code or improved workflows using Python.
✨Docker is Your Best Friend
Familiarise yourself with Docker and how it integrates into ML workflows. Be ready to explain how you've used Docker in past projects, especially in deploying machine learning models. This will demonstrate your ability to manage environments effectively, which is crucial for this position.
✨Communicate Like a Pro
Effective communication is key in any team setting. Prepare to discuss how you've collaborated with others in previous roles, especially in technical contexts. Think of examples where you’ve explained complex concepts to non-technical stakeholders, as this will showcase your ability to bridge the gap between tech and business.
