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- Tasks: Design and build Generative AI solutions for investment and business teams.
- Company: Leading Global Hedge Fund with a focus on innovative technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and influence AI decision-making in finance.
- Qualifications: 3+ years of software engineering experience and a relevant degree.
- Other info: Exciting role with potential for significant impact in the finance sector.
The predicted salary is between 48000 - 72000 £ per year.
Our client is a leading Global Hedge Fund who are looking to hire a Generative AI Lead to join their London Office. You will work closely with both investment and business teams, designing and building Generative AI solutions and products tailored to their needs. Delivering Investment solutions, improving overall operational efficiency and process improvement across the business.
Responsibilities:
- Designing Generative AI Proof of Concept.
- Contribute to AI infrastructure.
- Building reliable, scalable, and flexible systems.
- Influence opinion and decision-making across AI and ML.
Skills:
- Python
- SQL / Pandas / Snowflake / Elasticsearch
- Airflow / Spark
- Familiarity with GenAI models/libraries
Requirements:
- 3+ years of relevant software engineering experience post-graduation.
- A degree (ideally a Master’s) in Computer Science, Physics, Mathematics, or any other quantitative discipline.
- Knowledge of Finance is not essential.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industries: Investment Banking, Capital Markets, and Software Development
Machine Learning Engineer employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in hedge funds or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Generative AI projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your experience with Python, SQL, and any relevant AI frameworks. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, SQL, and any relevant AI projects you've worked on. 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 Generative AI and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool AI or ML projects, make sure to mention them! Whether it's a proof of concept or a full-blown application, we want to see what you've built and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Aurum Search Limited
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI. Be prepared to discuss specific models and libraries you've worked with, as well as how they can be applied to investment solutions.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share examples of how you've designed and built scalable systems in the past. Highlight your experience with Python, SQL, and any relevant tools like Airflow or Spark to demonstrate your technical prowess.
✨Understand the Business Context
Even though finance knowledge isn't essential, having a grasp of how AI can improve operational efficiency in a hedge fund setting will set you apart. Research the company and think about how your skills can directly benefit their investment strategies.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the challenges they face in AI implementation, and how success is measured in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
