Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI model development and extract valuable insights from data using SageMaker.
- Company: Join a leading tech company at the forefront of innovation.
- Benefits: Enjoy an annual bonus, exclusive discounts, and generous perks.
- Why this job: Make a real impact in AI while ensuring ethical practices.
- Qualifications: Experience with AWS, Python/Java, and a solid grasp of data science principles.
- Other info: Work in vibrant London with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is seeking a Data Science & AI Specialist to leverage models for valuable insights from data. The role requires experience in AWS services, programming in Python/Java, and a strong foundation in data science principles. The successful candidate will lead model development, ensure ethical AI practices, and utilize SageMaker for machine learning. Join us in London and enjoy generous benefits, including an annual bonus and exclusive discounts.
AI & ML Specialist: SageMaker & Data Insights Lead in London employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & ML Specialist: SageMaker & Data Insights Lead in London
✨Tip Number 1
Network like a pro! Connect with professionals in the AI and ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS services and SageMaker. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and ethical AI practices. Be ready to discuss how you've applied data science principles in real-world scenarios, as this will demonstrate your expertise and passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace AI & ML Specialist: SageMaker & Data Insights Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services and programming in Python or Java. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and AI, and how you can contribute to our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them! We love seeing practical applications of your skills, especially those involving SageMaker and ethical AI practices.
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 NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AWS services, especially SageMaker. Be ready to discuss how you've used these tools in past projects and how they can be applied to derive insights from data.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming prowess in Python or Java. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures to show off your skills.
✨Understand Ethical AI Practices
Since ethical AI is a key part of the role, be prepared to discuss your views on responsible AI use. Think about examples where you've ensured fairness and transparency in your work with machine learning models.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data science and AI. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
