Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Ensure reliability and performance of LLMs in production environments.
- Company: Leading financial data provider in the UK with a focus on innovation.
- Benefits: Competitive healthcare benefits and retirement planning.
- Why this job: Join a dynamic team and work on cutting-edge AI technology.
- Qualifications: Experience in LLM Ops, Python, cloud platforms, and monitoring tools.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial data provider in the United Kingdom is seeking an LLM Ops Engineer to ensure the reliability and performance of LLMs in production environments. This Senior Associate role involves managing model lifecycle, configuring platform integrations, and monitoring performance.
Candidates must have experience in LLM Ops and significant expertise in Python, cloud platforms and monitoring tools.
This role offers competitive benefits including healthcare and retirement planning.
LLM Ops Engineer – Real-Time AI Pipelines in Nottingham employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Ops Engineer – Real-Time AI Pipelines in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in LLM Ops. 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 projects related to LLMs, Python, and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common LLM Ops scenarios. Think about how you’d handle model lifecycle management or performance monitoring. We want you to be ready to impress with real-world examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace LLM Ops Engineer – Real-Time AI Pipelines in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in LLM Ops and showcases your Python skills. We want to see how your background aligns with the role, so don’t be shy about including 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 LLMs and how your expertise can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role involves managing model lifecycles and platform integrations, make sure to highlight your experience with cloud platforms and monitoring tools. We’re looking for specific examples that demonstrate your technical prowess!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at LSEG
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their lifecycle management. Be prepared to discuss specific examples of how you've ensured reliability and performance in production environments.
✨Show Off Your Python Skills
Since Python expertise is crucial for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to integrating LLMs with cloud platforms, so practice coding challenges beforehand.
✨Familiarise Yourself with Monitoring Tools
Get comfortable with the monitoring tools commonly used in LLM Ops. Be prepared to talk about how you've used these tools to track performance and troubleshoot issues in past projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to LLM Ops and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
