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- Tasks: Join our team to manage and optimise Large Language Models in a dynamic environment.
- Company: Be part of LSEG, a global leader in financial markets infrastructure.
- Benefits: Enjoy competitive pay, healthcare, remote work options, and personal development opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology and diverse teams.
- Qualifications: Experience in LLM Ops or AI infrastructure, strong Python skills, and cloud platform familiarity.
- Other info: Collaborative culture with a focus on innovation and sustainability.
The predicted salary is between 36000 - 60000 £ per year.
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.
Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference.
We are seeking a skilled and proactive LLM Ops Engineer with expertise in Large Language Model (LLM) Operations to join our growing AI and software development team. This role is critical in ensuring the reliability, performance, and evolution of LLMs and data pipelines in production environments.
WHAT YOU'LL BE DOING:
- Data & System Integration: You’ll be responsible for configuring the platform, integration, and completion of the LLM Ops stack, including Platform (DSQ, Langfuse), Langfuse integrations for AI components, LLM Ops workflows, help with data annotations, basic monitoring and analytics.
- Model Lifecycle Management: Manage the deployment, versioning, and rollback of LLMs in production. Help to coordinate and execute model upgrades, ensuring minimal disruption to services.
- LLM Monitoring & Maintenance: Help to monitor LLM performance in production, including latency, accuracy, and user feedback.
WHAT YOU'LL BRING:
- Proven experience in LLM Ops, MLOps, or AI infrastructure roles.
- Strong understanding of LLM behaviour, fine-tuning, and prompt engineering.
- Experience with monitoring tools (e.g., Prometheus, Grafana, MLflow, Evidently AI).
- Experience in AWS Bedrock LLM models.
- Proficiency in Python and familiarity with ML frameworks (e.g., Hugging Face Transformers, LangChain).
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Excellent communication and collaboration skills.
Desired Skills & Experience:
- Experience working in agile software development environments.
- Knowledge of data privacy, model interpretability, and responsible AI practices.
- Contributions to open-source LLM or MLOps projects.
- Experience in Finance sector and/or risk management.
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we’d love to hear from you.
LLM Ops Engineer 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 in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at LSEG or in the LLM Ops field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about LLMs, MLOps, and any relevant tools you've used. Practice common interview questions with a mate!
✨Tip Number 3
Show your passion for AI and LLMs during interviews. Share your personal projects or contributions to open-source initiatives. It’s all about demonstrating your enthusiasm and commitment to the field!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the LSEG team!
We think you need these skills to ace LLM Ops Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the LLM Ops Engineer role. Highlight your experience with LLMs, MLOps, and any relevant tools like Langfuse. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about LLM Ops and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any projects related to LLMs or AI infrastructure, make sure to mention them! Whether it's open-source contributions or personal projects, we want to see what you've been up to in the field.
Apply Through Our Website: Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, you'll find all the details you need about the role and our company culture there.
How to prepare for a job interview at London Stock Exchange Group
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of Large Language Models, especially their behaviour, fine-tuning, and prompt engineering. Be ready to discuss specific examples from your experience and how you've applied these concepts in real-world scenarios.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and any ML frameworks you've worked with, like Hugging Face Transformers or LangChain. You might be asked to solve a technical problem on the spot, so practice coding challenges related to LLM Ops and MLOps.
✨Understand the Company Culture
Familiarise yourself with LSEG's values of Integrity, Partnership, Excellence, and Change. Think about how your personal values align with theirs and be prepared to share examples of how you've embodied these principles in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team. Inquire about the current challenges the LLM Ops team is facing or how they measure success in model performance. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
