At a Glance
- 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.
AI Engineer (Remote) employer: Platform Recruitment
Join a forward-thinking company that values innovation and collaboration, where as an AI Engineer in London, you will be at the forefront of developing cutting-edge AI-driven trading systems. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and a supportive work culture that encourages creativity and ownership. Enjoy the unique advantage of working remotely while being part of a dynamic team that directly influences global financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote)
✨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)
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 experience with time-series modelling and how you've applied it in real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your expertise in deep learning frameworks and how you've used them in algorithmic trading.
✨Understand Market Microstructure
Dive deep into the intricacies of market microstructure before your interview. Being able to articulate how different market conditions affect trading strategies will set you apart. Prepare to discuss specific examples where your understanding of microstructure influenced your model development.
✨Collaborative Mindset
This role involves working closely with quant researchers and trading teams, so be prepared to talk about your collaborative experiences. Share examples of how you've successfully translated complex problems into actionable solutions, and emphasise your ability to work in a team-oriented environment.
