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AWS Architect (SageMaker) Fraud Detection Startup (UK Remote)
Location:UK (Remote)
Salary:£70,000 £75,000 + Equity
Job Type:Full-time, Permanent
About Us
My client is fraud detection/manipulation startup on a mission to protect businesses and consumers from digital fraud in real-time. Using cutting-edge machine learning and scalable cloud infrastructure, were building a next-generation platform that identifies and prevents fraudulent activity before it happens.
My client is fraud detection/manipulation startup on a mission to protect businesses and consumers from digital fraud in real-time. Using cutting-edge machine learning and scalable cloud infrastructure, were building a next-generation platform that identifies and prevents fraudulent activity before it happens.
As we grow our technical team, were looking for an experiencedAWS Architectwith strong expertise inAmazon SageMakerto lead the development of our cloud-based ML infrastructure.
The Role
As our AWS Architect, youll play a key role in designing, building, and optimising our cloud environment to support advanced machine learning models and real-time fraud detection capabilities.
As our AWS Architect, youll play a key role in designing, building, and optimising our cloud environment to support advanced machine learning models and real-time fraud detection capabilities.
Your Responsibilities:
- Architect and implement scalable AWS solutions with a focus on SageMaker for training, deploying, and managing ML models.
- Work closely with data scientists and engineers to deliver reliable, production-grade ML workflows.
- Ensure best practices for infrastructure security, performance, and cost-efficiency.
- Automate deployment and monitoring using Infrastructure as Code (Terraform/CloudFormation).
- Support CI/CD pipelines and contribute to the broader MLOps strategy.
- Influence architectural decisions and help shape the technical direction of the company.
What We're Looking For:
- 5+ years of experience architecting and building solutions on AWS.
- Strong hands-on experience withAmazon SageMaker, including model training, deployment, and pipelines.
- Proficiency with core AWS services (e.g., Lambda, S3, ECS/EKS, IAM, CloudWatch).
- Familiarity with DevOps and MLOps tools and principles.
- Solid knowledge of cloud security and cost optimisation.
- Excellent communication skills and a proactive, problem-solving mindset.
- Bonus: Experience working in fraud detection, fintech, or startup environments.
What We Offer:
- Competitive salary of £70,000 £75,000 per year
- Equity package share in the future success of the company
- Fully remote within the UK
- Flexible working hours
- Opportunity to shape the tech stack and infrastructure from the ground up
- Work with a small, passionate team on a meaningful problem
