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- Tasks: Design and implement AI solutions for Portfolio Managers using cutting-edge LLM technology.
- Company: Leading investment management firm focused on innovation and collaboration.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI technology and make a real impact in finance.
- Qualifications: PhD or Master's degree with strong Python skills and LLM application experience.
- Other info: Exciting career prospects in a fast-paced, innovative setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading investment management firm seeks an AI Engineer to develop and implement robust AI solutions for Portfolio Managers. The candidate must have a PhD with significant industry experience or a Master's degree.
Responsibilities include:
- Designing LLM-based products
- Ensuring system scalability
- Collaborating across teams
Strong skills in Python engineering and hands-on experience with LLM applications are essential, alongside a good understanding of deployment in cloud environments. This role offers an opportunity to work in a dynamic environment focused on innovation.
AI Engineer - Equities Tech (LLM & Agentic) in City of Westminster employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Equities Tech (LLM & Agentic) in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and Python engineering prowess. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with cloud deployments. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer - Equities Tech (LLM & Agentic) in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and Python engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with LLM applications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions for Portfolio Managers and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any projects related to LLMs or cloud deployment, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
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 Millennium Management LLC
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of LLMs and their applications. Be ready to discuss specific projects you've worked on, especially those involving Python engineering and cloud deployment. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, prepare examples of how you've successfully collaborated in the past. Think about times when you had to communicate complex technical concepts to non-technical stakeholders. This will demonstrate your ability to work effectively in a dynamic environment.
✨Prepare for Technical Questions
Expect to face some challenging technical questions during the interview. Brush up on your coding skills, particularly in Python, and be ready to solve problems on the spot. Practising with coding challenges can help you feel more confident and prepared.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the firm’s approach to innovation in AI or how they envision the future of LLM applications in their investment strategies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
