mlops engineer

SNI acts as an IT outsourcing partner for prestigious global firms and delivers successful technology projects worldwide.

• Lead design and development of scalable platforms supporting Data Science, MLOps, and LLMOps;
• Drive deployment, serving, and monitoring of LLMs using AWS SageMaker, Bedrock and related services;
• Define Infrastructure-as-Code standards using AWS CDK and CloudFormation;
• Build and maintain CI/CD pipelines with GitHub Actions, Jenkins, and AWS tooling;
• Implement observability using CloudWatch, Prometheus, and Grafana;
• Champion TDD, automation, and engineering best practices;
• Influence system architecture and long-term technical strategy with architects and product leaders;
• Embed security across the SDLC using DevSecOps principles;
• Mentor engineers and foster a high-performing technical community.

• Extensive DevOps/MLOps experience building ML platforms in AWS;
• Strong knowledge of SageMaker, Bedrock, ECS/EKS, Lambda, IAM, VPC, and S3;
• Advanced Infrastructure-as-Code experience (AWS CDK, CloudFormation, or Terraform);
• Proven delivery of end-to-end MLOps pipelines (e.g., MLflow, SageMaker Pipelines);
• Deep experience with Docker, Kubernetes, and production CI/CD (GitHub Actions, Jenkins);
• Strong understanding of cloud security, governance, and scalable system design;
• Hands-on experience deploying LLMs and GenAI models to production;
• Proven ability to lead cross-team initiatives and influence at scale.

• 6 Months contract duration with extension;
• Remote work with occasional on-site team sessions in UK.