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- 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: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and technical excellence.
- Why this job: Make a real impact on global financial markets with your AI expertise.
- Qualifications: Master's or PhD in relevant fields and 5+ years of ML engineering experience.
The predicted salary is between 70000 - 90000 £ per year.
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.
- 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.
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: Strong experience with time-series modelling, forecasting, and financial signal generation.
AI Engineer (Remote) in City of London employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and AI sectors on LinkedIn. Join relevant groups, attend webinars, 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. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial concepts. Practice common ML algorithms and be ready to discuss how you've applied them in real-world scenarios. We recommend using platforms like LeetCode or HackerRank for practice.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with ML in finance, and make sure to express your passion for the role. Let’s get you that dream job!
We think you need these skills to ace AI Engineer (Remote) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning 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 hands-on, we’d love to see examples of your work with Python and deep learning frameworks. If you have any projects or GitHub repositories, include them to give us a taste of your coding chops!
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!
How to prepare for a job interview at Platform Recruitment
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts, especially those related to financial data. Be ready to discuss your past projects and how you've applied ML techniques to solve real-world problems in finance.
✨Understand Market Microstructure
Since this role involves trading systems, it's crucial to have a solid grasp of market microstructure. Familiarise yourself with how different markets operate and be prepared to discuss how your knowledge can influence trading strategies.
✨Showcase Your Coding Skills
As an AI Engineer, you'll need to demonstrate your Python prowess. Bring examples of your code or projects that highlight your experience with deep learning frameworks and time-series modelling. Be ready to tackle coding challenges during the interview.
✨Collaborate and Communicate
This role requires close collaboration with quant researchers and trading teams. Prepare to discuss how you've worked in teams before, and think about examples where your communication skills helped bridge gaps between technical and non-technical stakeholders.