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- Tasks: Design and deploy cutting-edge ML models for algorithmic trading and quantitative research.
- Company: Join a specialised team in a leading financial tech firm.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with significant ownership over projects.
- Why this job: Shape the future of trading with AI and make a real impact in finance.
- 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.
- 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.
Senior AI Engineer (Remote) employer: Platform Recruitment
Contact Detail:
Platform Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. 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 bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning frameworks. Practice coding challenges and review time-series modelling concepts. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your experience in ML and finance, and don’t forget to mention any relevant projects that align with the role.
We think you need these skills to ace Senior AI Engineer (Remote)
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’ve built any models or systems, mention them and describe their impact!
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!
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 in detail, focusing on how you applied ML techniques to solve real-world problems in finance.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in Python and deep learning frameworks. You might be asked to solve a coding challenge or explain your approach to building production-grade ML models, so practice articulating your thought process clearly.
✨Understand Market Microstructure
Since this role involves algorithmic trading, having a solid grasp of market microstructure is crucial. Be prepared to discuss how different market conditions can affect trading strategies and how your models can adapt to these changes.
✨Collaborate and Communicate
This position requires close collaboration with quant researchers and trading teams. Think of examples from your past experiences where you successfully worked in a team setting, and be ready to share how you can effectively communicate complex ideas to non-technical stakeholders.