At a Glance
- Tasks: Build and own real-time ML infrastructure and design data-intensive platforms.
- Company: Join Trade Republic, Europe's largest savings platform with a mission to democratise wealth.
- Benefits: Competitive salary, dynamic culture, and opportunities for career growth.
- Other info: Join a diverse team committed to excellence and accountability.
- Why this job: Make a real impact on financial systems that empower millions across Europe.
- Qualifications: Experience in software engineering, Kubernetes, and distributed systems.
The predicted salary is between 63000 - 77000 £ per year.
BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets.
But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems.
You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state-of-the-art technology to build a lasting, positive future for millions.
- WHAT YOU WILL BE DOING
- Build and own production-grade infrastructure for real-time ML, feature serving, and critical decisioning systems.
- Design data-intensive platforms that process high-volume event streams with low latency and strong reliability.
- Define reusable engineering patterns that help teams build, ship, operate, and scale platform capabilities reliably.
- Build and operate data streaming and serving platforms for sub-second algorithms in mission-critical systems.
- Work closely with ML, data, backend, and product teams to turn complex requirements into simple, reliable systems.
- Mentor peers, share knowledge, and help raise the quality of engineering ownership across the team
WHAT WE'RE LOOKING FOR
- Strong background in software, systems, or infrastructure engineering, with hands-on experience building and operating production-grade services on Kubernetes.
- Solid understanding of distributed systems, networking, latency, reliability, backpressure, and operational trade-offs.
Ability to make pragmatic trade-offs across performance, scalability, cost, and reliability in large-scale production systems.
- Able to work across infrastructure, data, backend, and ML systems, translating ambiguous requirements into simple, reliable platform capabilities.
- Strong interpersonal skills, self-starter with high autonomy, and a focus on knowledge sharing and team growth.
- Nice to have: experience with Click House, Kafka, Flink, or similar technologies for stream processing and high-performance SQL workload.
- WHY YOU SHOULD APPLY NOW
Our culture rewards ownership, excellence, and high energy.
We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth.
If this gets you fired up, reach out!
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger.
We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers.
For any questions on DEI during the interview process, reach out to your recruitment partner.
ML Platform Engineer (Berlin/London/Paris) employer: Trade Republic
Trade Republic is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. With a strong emphasis on employee growth, we offer ample opportunities for professional development while ensuring a supportive environment where your contributions are valued. Join us to be part of a team that prioritises collaboration and innovation, making every day at work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land ML Platform Engineer (Berlin/London/Paris)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Trade Republic!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like ML Platform Engineer (Berlin/London/Paris) at Trade Republic.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trade Republic.
✨Apply Directly through Our Website
When you find a suitable opening like ML Platform Engineer (Berlin/London/Paris) at Trade Republic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ML Platform Engineer (Berlin/London/Paris)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trade Republic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trade Republic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trade Republic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trade Republic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
