At a Glance
- Tasks: Design and implement AI-driven systems to combat financial crimes using cutting-edge technology.
- Company: Join a leading firm dedicated to innovation in financial security.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant career advancement potential in a fast-paced environment.
- Why this job: Make a real difference by tackling fraud and money laundering with advanced machine learning.
- Qualifications: Experience in data science, machine learning, and transaction monitoring is essential.
The predicted salary is between 63000 - 77000 £ per year.
find below JD for ML engineer/Architect
- Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities
- Engineers / data science backgrounds with transaction monitoring background
- The role combines transaction monitoring domain expertise with technical skills in Data Science, Machine Learning, Py Spark programming.
- Experience in designing and deploying AI/ML products, hands-on and as a manager
- Develop and maintain AI driven monitoring engines that scrutinize financial transactions in real time.
- Identify suspicious pattern, anomalies or deviations indicative or money laundering or fraud.
- Solution design of Machine Learning models on Transaction Monitoring systems.
- Significant experience as a Data Scientist for complex financial services environments.
- Technical skills in AI/ML, Py Spark, Data Science and knowledge on banking regulatory compliances and financial crime domain knowledge.
ML engineer/Architect in London employer: VBeyond Corporation
Join a forward-thinking company that values innovation and excellence in the Aerospace & Defense sector. With a strong commitment to employee development, we offer a collaborative work culture that encourages growth and learning, alongside competitive benefits tailored to support your well-being. Working remotely from Derby, you'll enjoy the flexibility of a modern workplace while contributing to critical projects that make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land ML engineer/Architect in London
✨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 VBeyond Corporation!
✨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 engineer/Architect at VBeyond Corporation.
✨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 VBeyond Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like ML engineer/Architect at VBeyond Corporation, 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 engineer/Architect in London
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 VBeyond Corporation, 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 VBeyond Corporation. 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 VBeyond Corporation
✨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 VBeyond Corporation!
✨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.
