At a Glance
- Tasks: Build AI-driven analytics and real-time insights for traders in a fast-paced environment.
- Company: Join a dynamic trading firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement opportunities.
- Why this job: Make a real impact by solving traders' problems with cutting-edge AI technology.
- Qualifications: Experience with AI and LLM use cases is essential.
The predicted salary is between 60000 - 80000 € per year.
Want to build AI-driven analytics used directly by traders? We’re hiring an AI Engineer to deliver real-time insights across market pricing & fundamentals data in a fast-paced trading environment.
What you’ll do:
- Build forecasting, regression & scenario models
- Engineer high-performance Spark / PySpark pipelines
- Deploy LLM-powered solutions into production
- Work side-by-side with traders to solve real problems fast
You’ll need:
- Hands-on with AI / LLM use cases
AI Engineer (Trading / Data Engineering) in London employer: Templeton & Partners - Innovative & Inclusive Hiring Solutions
Join a dynamic team where innovation meets collaboration, as we empower our AI Engineers to create cutting-edge solutions that directly impact trading strategies. Our fast-paced work culture fosters creativity and growth, offering ample opportunities for professional development while working alongside experienced traders in a vibrant trading environment. With a commitment to employee well-being and a focus on meaningful projects, we provide an exceptional workplace for those looking to make a difference in the financial sector.
Contact Detail:
Templeton & Partners - Innovative & Inclusive Hiring Solutions Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Trading / Data Engineering) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-driven projects, especially those related to trading or data engineering. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Spark and PySpark knowledge. Practice coding challenges and be ready to discuss your experience with LLM-powered solutions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace AI Engineer (Trading / Data Engineering) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can transform trading. Share any relevant projects or experiences that highlight your hands-on skills with AI and LLM use cases.
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer. Highlight your experience with forecasting, regression models, and any work with Spark or PySpark. We want to see how your background aligns with what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Templeton & Partners - Innovative & Inclusive Hiring Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLM use cases. Be ready to discuss specific projects you've worked on, especially those involving forecasting and regression models. This will show that you’re not just familiar with the theory but have practical experience too.
✨Get Familiar with Spark/PySpark
Since you'll be engineering high-performance pipelines, it’s crucial to demonstrate your expertise in Spark and PySpark. Prepare to talk about how you've used these technologies in past projects, and maybe even bring along some code snippets or examples to showcase your skills.
✨Understand the Trading Environment
Research the trading environment and the types of data traders rely on. Being able to speak the language of traders and understanding their needs will help you connect better during the interview. It shows you’re not just an AI engineer but someone who can work collaboratively with traders.
✨Prepare for Problem-Solving Scenarios
Expect to face real-world problem-solving scenarios during the interview. Think of examples where you’ve had to solve complex issues quickly, especially in a fast-paced environment. Practising how you articulate your thought process will help you shine when discussing your approach to solving problems.
