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For Companies At a Glance
- Tasks: Design and deploy cutting-edge ML models for algorithmic trading and quantitative research.
- Company: Join a leading firm at the forefront of AI in finance.
- Benefits: Competitive salary up to £200,000 and opportunities for professional growth.
- Other info: Collaborative environment with significant ownership over impactful projects.
- Why this job: Shape the future of trading with your expertise in AI and machine learning.
- Qualifications: Master's or PhD in relevant fields and 5+ years of ML engineering experience.
This is a unique opportunity for an experienced AI engineer to join a specialised team building AI-driven trading and quantitative systems operating at significant scale across global financial markets. You will work at the intersection of machine learning, time-series modelling, and algorithmic strategy developing models that directly influence trading decisions and market performance.
If you have a strong background in ML applied to financial data and a deep understanding of market microstructure, this role was written for you.
The Role
- Design, build, and deploy production-grade ML models for algorithmic trading, signal generation, and quantitative research pipelines.
- This is a hands-on engineering role with significant ownership over how AI shapes strategy and execution.
- You will collaborate closely with quant researchers and trading teams to translate complex financial problems into robust, low-latency ML solutions, and play a key role in defining the technical architecture of the platform.
Requirements
- Master's or PhD in Machine Learning, AI, CompSci, Mathematics, or a quantitative discipline.
- 5+ years of ML engineering experience, ideally within finance or a quantitative environment.
- Expert in Python and deep learning frameworks: PyTorch and/or TensorFlow.
- Strong experience with time-series modelling, forecasting, and financial signal generation.
- Familiarity with reinforcement learning applied to trading or sequential decision-making.
- Understanding of market microstructure, order book dynamics, or quantitative finance fundamentals.
- Proven track record of deploying low-latency, high-reliability models to production.
If this role is of interest, please apply below.
Senior AI Engineer in London employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to finance. Whether it’s GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning frameworks. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Senior AI Engineer role!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML and finance. 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 AI in finance and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role is all about hands-on engineering, make sure to mention your expertise in Python and any deep learning frameworks you’ve worked with. We love seeing practical examples of your work!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Platform Recruitment
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to financial data. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, as well as any specific projects you've worked on that relate to time-series modelling or algorithmic trading.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex financial problems in the past. Think of examples where you've translated these challenges into effective ML solutions, and be ready to explain your thought process and the impact of your work.
✨Understand the Market
Familiarise yourself with market microstructure and order book dynamics. Being able to discuss these topics will show that you not only have the technical skills but also a solid understanding of the financial landscape in which you'll be working.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team, the technology stack, and the company's approach to AI in trading. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.