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- Tasks: Ensure reliability of Large Language Models and manage their lifecycles in production.
- Company: Leading global financial markets infrastructure provider with a focus on innovation.
- Benefits: Competitive salary, career development opportunities, and comprehensive benefits.
- Why this job: Join a cutting-edge team and work with advanced AI technologies.
- Qualifications: Expertise in LLM ops, Python skills, and experience with AWS Bedrock models.
- Other info: Dynamic work environment with great potential for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial markets infrastructure provider is seeking a skilled LLM Ops Engineer to join their AI and software development team. This role entails ensuring the reliability and performance of Large Language Models in production.
Responsibilities include:
- Configuring platforms
- Managing model lifecycles
- Monitoring performance
Ideal candidates will have:
- Expertise in LLM ops
- Python proficiency
- Experience with AWS Bedrock models
Competitive benefits and opportunities for career development are provided.
LLM Ops Engineer — Production AI Pipelines & Observability in Nottingham employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Ops Engineer — Production AI Pipelines & Observability in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in LLM ops or related fields. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Large Language Models, Python projects, or any relevant AWS Bedrock experience. This will give you an edge and make you memorable during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts in LLM ops and production AI pipelines. We recommend practicing coding challenges and system design questions to boost your confidence.
✨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 and engaged with our platform.
We think you need these skills to ace LLM Ops Engineer — Production AI Pipelines & Observability in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM ops 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 passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working with Large Language Models.
Showcase Your Technical Skills: Since this role involves managing model lifecycles and performance monitoring, be sure to mention any specific tools or platforms you’ve worked with, especially AWS Bedrock models. We love seeing hands-on experience!
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 London Stock Exchange Group
✨Know Your LLM Ops Inside Out
Make sure you brush up on your knowledge of Large Language Models and their operational requirements. Be ready to discuss specific challenges you've faced in managing model lifecycles and how you ensured their reliability and performance.
✨Show Off Your Python Skills
Since Python proficiency is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code, so practice common Python tasks related to LLM operations.
✨Familiarise Yourself with AWS Bedrock
As the job involves working with AWS Bedrock models, make sure you understand how they work. Be prepared to discuss your experience with cloud platforms and how you've leveraged them in previous projects.
✨Prepare Questions About the Role
Interviews are a two-way street! Think of insightful questions about the team dynamics, the tools they use, and how they measure success in LLM ops. This shows your genuine interest and helps you assess if it's the right fit for you.
