At a Glance
- Tasks: Design and deploy advanced machine learning models for quantitative trading.
- Company: Join a high-performing quantitative trading firm with a remote-first culture.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborate with top engineers and traders in a dynamic, innovative environment.
- Why this job: Make a real impact on trading performance using cutting-edge machine learning technology.
- Qualifications: MSc or PhD in a quantitative field and strong Python ML experience.
The predicted salary is between 70000 - 90000 £ per year.
This is a unique opportunity for a Senior Machine Learning Engineer to join a high-performing quantitative trading firm building next-generation machine learning systems for financial markets. Working alongside a team of exceptional engineers, researchers, and traders, you will play a key role in developing models and infrastructure that directly influence trading performance and investment decisions.
While the role is fully remote, candidates must be based in the UK and willing to attend occasional team gatherings and meetings.
You will design, develop, and deploy advanced machine learning models across a range of quantitative trading and research initiatives. Working closely with trading, data, and engineering teams, you will help build scalable ML systems capable of extracting signals from large and complex datasets while contributing to the long-term technical direction of the platform.
- A degree (preferably MSc or PhD) in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative discipline
- Strong commercial experience developing machine learning models in Python using frameworks such as PyTorch, JAX, or TensorFlow
- Experience building predictive models for time-series, forecasting, signal generation, or large-scale data analysis
- Proven ability to take models from research through to live deployment
- Experience within quantitative trading, hedge funds, systematic investing, market making, or financial technology
- Experience with reinforcement learning, probabilistic modelling, Bayesian methods, or deep learning for financial applications
- Familiarity with market data, alternative datasets, and low-latency or high-performance systems
Senior Machine Learning Engineer (M/F/D) employer: Platform Recruitment
Join a leading quantitative trading firm that champions innovation and excellence in the financial markets. As a Senior Machine Learning Engineer, you will thrive in a collaborative remote environment, where your contributions directly impact trading strategies and investment outcomes. With a strong focus on employee growth, cutting-edge technology, and a culture of teamwork, this role offers a unique opportunity to advance your career while working alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including any models you've built or deployed, especially those related to financial markets. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. We suggest doing mock interviews with friends or using platforms that simulate real interview scenarios. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning models and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Since this role involves advanced ML systems, be sure to mention your experience with Python and frameworks like PyTorch or TensorFlow. We’re keen to see how you’ve applied these in real-world scenarios, especially in trading or financial contexts.
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 – just a few clicks and you’re done!
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 relevant to financial markets. Be ready to discuss your experience with frameworks like PyTorch or TensorFlow, and have examples of your predictive models at hand.
✨Showcase Your Projects
Prepare to talk about specific projects where you've taken models from research to live deployment. Highlight the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and practical experience.
✨Understand the Business
Familiarise yourself with the quantitative trading landscape. Knowing how machine learning impacts trading performance and investment decisions will help you connect your technical skills to the company's goals during the interview.
✨Ask Smart Questions
Prepare insightful questions about the team dynamics, the technology stack they use, and their approach to building scalable ML systems. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
