At a Glance
- Tasks: Lead data pipeline engineering and enhance ML models using AWS technologies.
- Company: Smartnumbers, a forward-thinking company in the heart of London.
- Benefits: Competitive salary, hybrid work, health insurance, and generous annual leave.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact in fraud detection.
- Qualifications: Experience in machine learning and cloud-based platforms.
The predicted salary is between 55000 - 55000 £ per year.
Smartnumbers is seeking a professional for a machine learning engineering role located in City of London. The position involves working within a cross-functional team to build robust cloud-based platforms. The successful candidate will lead data pipeline engineering, build, monitor, and improve ML models using AWS technologies.
A competitive salary of approximately £55,000 per annum and benefits including hybrid work, health insurance, and annual leave are offered.
Real-Time Fraud ML Engineer (AWS SageMaker) in London employer: Smartnumbers
Smartnumbers is an exceptional employer that fosters a collaborative and innovative work culture in the heart of the City of London. With a focus on employee growth, we offer opportunities to enhance your skills in machine learning and cloud technologies while enjoying benefits such as hybrid working arrangements, comprehensive health insurance, and generous annual leave. Join us to be part of a forward-thinking team dedicated to building cutting-edge solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Fraud ML Engineer (AWS SageMaker) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Smartnumbers or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using AWS technologies. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you’ve tackled challenges in ML engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Real-Time Fraud ML Engineer (AWS SageMaker) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AWS technologies. 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 fraud detection and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:In your application, be sure to mention specific tools and technologies you’ve worked with, especially those related to data pipeline engineering and ML model improvement. We’re keen to know how you’ve used AWS SageMaker in your previous roles!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Smartnumbers
✨Know Your Tech Stack
Make sure you’re well-versed in AWS technologies, especially SageMaker. Brush up on your knowledge of data pipeline engineering and be ready to discuss how you've used these tools in past projects.
✨Showcase Your ML Expertise
Prepare to talk about specific machine learning models you've built or improved. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Understand the Company’s Mission
Research Smartnumbers and their approach to fraud detection. Knowing their goals and how your role fits into their vision will help you align your answers with what they value.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics and the projects you'll be working on. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
