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For Companies At a Glance
- Tasks: Drive the development of AI/ML products and enhance regulatory compliance services.
- Company: Leading RegTech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge ML solutions in a fast-paced environment.
- Qualifications: Minimum two years in machine learning, strong Python skills, and cloud computing experience.
- Other info: Collaborative culture that values communication and innovative thinking.
The predicted salary is between 42000 - 84000 £ per year.
A leading RegTech company based in Greater London is seeking a Machine Learning Engineer to drive the development and improvement of their AI/ML-powered products. This role involves working with advanced ML solutions and cloud architecture to enhance regulatory compliance services.
Ideally, candidates will have a minimum of two years experience in machine learning, particularly in the NLP domain, along with a strong background in Python and cloud computing. A collaborative mindset and the ability to communicate complex concepts are essential for success in this fast-paced environment.
RegTech AI Engineer: Production ML/NLP on Azure employer: CUBE
Contact Detail:
CUBE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RegTech AI Engineer: Production ML/NLP on Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the RegTech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML/NLP projects, especially those using Azure. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and cloud computing knowledge. We love candidates who can dive deep into technical discussions and explain complex concepts clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace RegTech AI Engineer: Production ML/NLP on Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and NLP. 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 RegTech and how your background in Python and cloud computing makes you a perfect fit for our team.
Showcase Your Collaborative Spirit: Since we value teamwork, share examples of how you've worked with others in past projects. Highlighting your ability to communicate complex ideas will definitely catch our eye!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at CUBE
✨Know Your ML and NLP Stuff
Make sure you brush up on your machine learning and natural language processing knowledge. Be ready to discuss specific projects you've worked on, the algorithms you used, and how they contributed to the success of your previous roles. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Show Off Your Python Skills
Since Python is a key requirement for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common ML libraries like TensorFlow or PyTorch can give you an edge.
✨Get Familiar with Azure
As this position involves cloud architecture, make sure you understand Azure's capabilities and services related to machine learning. Familiarise yourself with Azure ML and how it integrates with other tools. Being able to discuss how you’ve used Azure in past projects will definitely impress the interviewers.
✨Communicate Clearly and Collaboratively
In a fast-paced environment, being able to communicate complex ideas simply is crucial. Practice explaining your past projects to someone without a technical background. This will help you convey your thoughts clearly during the interview and demonstrate your collaborative mindset.
