At a Glance
- Tasks: Design systems for fraud detection and optimise data pipelines in real-time.
- Company: Join Sardine, a leader in fighting financial crime with a remote-first culture.
- Benefits: Generous compensation, flexible time off, health insurance, and home office setup stipend.
- Other info: Work remotely from various countries with excellent career growth opportunities.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: Experience in applied ML, strong SQL skills, and a degree in Computer Science or related field.
The predicted salary is between 70000 - 90000 £ per year.
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture.
We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania. We are a remote-first company with a globally distributed team. As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale.
This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges.
- Build and optimize data pipelines and backend services to process device and behavioral data in real time.
- Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
- Turn raw data into production-ready features that feed our fraud detection systems.
- Champion best practices in testing, documentation, and observability.
- Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.).
- Strong SQL skills and familiarity with relational and non-relational databases.
- Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration.
- Excellent communication skills in English, both written and verbal.
- Bachelor's or Master's in Computer Science, Engineering, or a related discipline.
Bonus Points
- Domain knowledge in fraud, risk, or cybersecurity.
- Background in Software Engineering.
- Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework.
- Understanding of modern browser APIs and high-entropy data collection techniques.
Generous compensation in cash and equity. Remote-first Culture. Flexible paid time off and Year-end break. Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific. One-time stipend to set up a home office — desk, chair, screen, etc.
TECHNICIEN MULTI-METIER (H/F) in Birmingham employer: Sardine
Sardine is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the fight against fraud. As a Remote Integration Engineer, you'll benefit from flexible working arrangements, continuous professional development opportunities, and the chance to make a meaningful impact in a rapidly evolving industry. Join us in our mission to protect businesses and consumers alike, while enjoying the unique advantages of working with a global leader in fraud prevention.
StudySmarter Expert Advice🤫
We think this is how you could land TECHNICIEN MULTI-METIER (H/F) in Birmingham
✨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 Sardine!
✨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 TECHNICIEN MULTI-METIER (H/F) at Sardine.
✨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 Sardine.
✨Apply Directly through Our Website
When you find a suitable opening like TECHNICIEN MULTI-METIER (H/F) at Sardine, 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 TECHNICIEN MULTI-METIER (H/F) in Birmingham
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 Sardine, 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 Sardine. 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 Sardine
✨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 Sardine!
✨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.
