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- Tasks: Create innovative ML solutions and collaborate with experts in a dynamic environment.
- Company: Leading RegTech firm in Greater London focused on AI/ML products.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact in regulatory compliance using cutting-edge AI technology.
- Qualifications: Over two years of ML experience, especially in NLP, and strong Python skills.
- Other info: Join a team dedicated to innovation and excellence in the RegTech space.
The predicted salary is between 42000 - 60000 £ per year.
A leading RegTech firm in Greater London is seeking a Machine Learning Engineer to drive the development of AI/ML products. This role involves creating ML solutions, utilizing cloud architecture, and collaborating with subject matter experts.
The ideal candidate has over two years of experience in ML, particularly in NLP, proficiency in Python, and a solid grasp of statistical methods.
Join a dynamic team committed to innovation in regulatory compliance and leverage your skills to make a significant impact.
ML Engineer, Regulatory AI & LLM Production in London employer: CUBE Content Governance Global Limited
Contact Detail:
CUBE Content Governance Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer, Regulatory AI & LLM Production in London
✨Tip Number 1
Network like a pro! Reach out to professionals 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 projects, especially those related to NLP. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and statistical methods. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in ML and regulatory compliance.
We think you need these skills to ace ML Engineer, Regulatory AI & LLM Production in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML and NLP specifically. 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 AI/ML and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role requires proficiency in Python and statistical methods, make sure to mention any relevant tools or frameworks you’ve worked with. We’re keen to see how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CUBE Content Governance Global Limited
✨Know Your ML Basics
Brush up on your machine learning fundamentals, especially in natural language processing (NLP). Be ready to discuss your previous projects and how you applied statistical methods. This will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a coding problem or explain your approach to building ML solutions. Practising common algorithms and libraries like TensorFlow or PyTorch can give you an edge.
✨Understand Cloud Architecture
Since the role involves cloud architecture, make sure you’re familiar with platforms like AWS or Azure. Be prepared to discuss how you’ve used these tools in past projects to deploy ML models effectively.
✨Collaborate and Communicate
This position requires collaboration with subject matter experts, so highlight your teamwork skills. Share examples of how you’ve worked with others to drive projects forward, and be ready to discuss how you handle feedback and adapt to new ideas.
