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- 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 the interview by brushing up on your knowledge of capital market tools and automation processes. We want you to be ready to discuss how you can enhance their systems and make an impact from day one.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior ML Engineer: MLOps, LLMs & AWS | London / WFH
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MLOps, Python, and AWS. 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 machine learning and how you can contribute to our team. We love hearing about your journey and what excites you about this role.
Showcase Your Technical Skills: In your application, mention specific tools and technologies you’ve worked with, especially those related to LLMs and automation. We’re looking for hands-on experience, so give us the details that make you stand out!
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 a few clicks and you’re done!
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 the specific tools used by investment banks. Being able to discuss how your work can enhance automation in their processes will show that you understand the industry and its needs.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, challenges they face in MLOps, or their vision for future developments. This not only shows your interest but also helps you gauge if the company is the right fit for you.