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AWS Architect (Sagemaker)

Manchester
3 weeks ago
Applications closed

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AWS Architect (Sagemaker)

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

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 claims by combining clever tech with a sharp product mindset. They've already secured strong funding and early success with some household-name clients, and now they're laying the groundwork to scale.

They're hiring their first AWS Architect someone who can take charge of the cloud infrastructure and help shape the technical backbone of the platform from the very beginning.

What You'll Be Doing

This is a hands-on role. You'll be designing the full cloud setup using AWS-native tools and creating an environment that allows developers to move fast, stay secure, and work with confidence. No legacy systems, no outdated tooling… just clean builds and smart decisions.

You'll be responsible for:

Creating an event-driven architecture using AWS
Leading infrastructure as code with Terraform or CDK
Making local development easy and efficient
Setting the standard for monitoring, uptime, and resilience
Supporting integration with machine learning tools like SageMaker
Ensuring top-notch security across the stack
Balancing performance, cost, and scale whilst documenting your approachYou'll be working closely with the founders and engineers to help the platform grow in the right way.

You'll need experience with:

Building and scaling AWS infrastructure in a commercial setting
Working with services like EventBridge, ECS, Lambda, SQS/SNS
Infrastructure as code (Terraform or AWS CDK preferred)
Designing for security: network segmentation, IAM, and general best practice
Creating environments that support local-first dev workflows
Keeping an eye on AWS costs and designing with efficiency in mindBonus points if you've worked with:

.NET / C#
AWS SageMaker or Bedrock
Localstack or other tools for testing infrastructure locally

National AI Awards 2025

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