AWS Architect (Sagemaker)

AWS Architect (Sagemaker)

Manchester Full-Time 75000 - 85000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Design and implement AWS solutions, focusing on Sagemaker for fraud detection.
  • Company: Join a dynamic AI start-up making waves in fraud detection technology.
  • Benefits: Enjoy remote work flexibility and a competitive salary of £75,000-£85,000.
  • Why this job: Be part of an innovative team tackling real-world challenges with cutting-edge technology.
  • Qualifications: Experience in AWS architecture and familiarity with Sagemaker is essential.
  • Other info: Work 40 hours a week with core hours from 10am to 2pm GMT.

The predicted salary is between 75000 - 85000 £ per year.

Role: AWS Technical Architect

Location: Remote (UK only)

Salary: £75,000-£85,000 depending on experience

Working Hours: 40 hours per week, with flexible working and a focus on core hours (10am-2pm GMT)

About the Company

We're supporting a fast-moving AI start-up that's building something genuinely impactful in the fraud detection space. They're tackling a huge industry challenge detecting fraudulent activities.

AWS Architect (Sagemaker) employer: We Are Dcoded Limited

Join a dynamic AI start-up that prioritises innovation and flexibility, offering a competitive salary and the opportunity to work remotely within the UK. With a strong focus on employee growth and a collaborative work culture, this company empowers its team to make a real difference in the fraud detection industry while enjoying a healthy work-life balance.
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Contact Detail:

We Are Dcoded Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS Architect (Sagemaker)

✨Tip Number 1

Familiarise yourself with AWS Sagemaker and its features. Being able to discuss specific use cases and how you've implemented Sagemaker in past projects will show your expertise and make you stand out.

✨Tip Number 2

Network with professionals in the AI and fraud detection space. Attend relevant webinars or meetups to connect with industry experts, which could lead to valuable insights and potential referrals for the role.

✨Tip Number 3

Stay updated on the latest trends in AI and fraud detection technologies. Being knowledgeable about current challenges and innovations will help you engage in meaningful conversations during interviews.

✨Tip Number 4

Prepare to discuss your problem-solving skills and how you've tackled complex technical challenges in previous roles. This is crucial for an AWS Architect position, especially in a fast-paced start-up environment.

We think you need these skills to ace AWS Architect (Sagemaker)

AWS Sagemaker
AWS Architecture Design
Cloud Computing
Machine Learning
Data Engineering
DevOps Practices
API Development
Security Best Practices in Cloud
Cost Optimisation Strategies
Containerisation (Docker, Kubernetes)
CI/CD Pipelines
Monitoring and Logging Tools
Problem-Solving Skills
Collaboration and Teamwork
Communication Skills

Some tips for your application 🫡

Understand the Role: Familiarise yourself with the responsibilities of an AWS Technical Architect, especially in relation to Sagemaker. Highlight your relevant experience and skills that align with the job description.

Tailor Your CV: Customise your CV to reflect your expertise in AWS, particularly Sagemaker. Include specific projects or achievements that demonstrate your ability to tackle challenges in fraud detection.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and fraud detection. Explain why you are interested in this role and how your background makes you a perfect fit for the company.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise.

How to prepare for a job interview at We Are Dcoded Limited

✨Understand the Company and Its Mission

Before your interview, take some time to research the company and its focus on fraud detection. Understanding their mission and how they leverage AI will help you align your answers with their goals.

✨Showcase Your AWS Expertise

As an AWS Architect, it's crucial to demonstrate your knowledge of AWS services, particularly Sagemaker. Be prepared to discuss specific projects where you've successfully implemented these technologies.

✨Prepare for Technical Questions

Expect technical questions related to cloud architecture, data pipelines, and machine learning models. Brush up on your technical skills and be ready to solve problems on the spot.

✨Highlight Flexibility and Team Collaboration

Since the role offers flexible working hours, emphasise your ability to work independently as well as collaboratively. Share examples of how you've effectively communicated and collaborated with remote teams in the past.

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