Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of complex machine learning systems and enhance automation in finance.
- Company: Dynamic SaaS FinTech company based in London with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team and take your career to the next level.
- Why this job: Make a real impact in the finance sector using cutting-edge machine learning technologies.
- Qualifications: Experience in MLOps, Python, LLMs, and AWS is essential.
The predicted salary is between 90000 - 90000 £ per year.
Client Server is hiring a senior Machine Learning Engineer MLOps Python LLM AWS based in City of London. This full-time role offers a salary of £90,000. The position involves taking ownership of complex machine learning systems and working in a hands-on technical leadership capacity at a SaaS FinTech company. You will contribute to developing capital market tools utilized by Investment Banks and independent research providers, enhancing automation in their processes.
Senior ML Engineer: MLOps, LLMs & AWS | London / WFH employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: MLOps, LLMs & AWS | London / WFH
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in MLOps or at FinTech companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and AWS. This is your chance to demonstrate your hands-on experience and technical leadership.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools. Be ready to discuss how you've tackled complex systems in the past. We want to see your problem-solving skills in action!
✨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 about their job search.
We think you need these skills to ace Senior ML Engineer: MLOps, LLMs & AWS | London / WFH
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with MLOps, Python, and AWS. We want to see how you've tackled complex machine learning systems in the past, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects or experiences that relate to capital market tools or automation processes. This shows us you’re genuinely interested in the position and understand what we do.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team!
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!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you’re well-versed in MLOps, Python, and AWS. Brush up on your knowledge of large language models (LLMs) and be ready to discuss how you've applied these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare to talk about your experience leading teams or projects. Think of instances where you took ownership of a complex system and how you guided your team through challenges. Highlight your ability to mentor others as well.
✨Understand the FinTech Landscape
Familiarise yourself with the capital markets and how machine learning is transforming the industry. Be prepared to discuss trends and challenges in FinTech, and how your skills can contribute to developing tools for investment banks and research providers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current projects, their tech stack, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.