Amazon ECS Jobs in Leicestershire

4 of 4 Amazon ECS Jobs in Leicestershire

Lead Site Reliability Engineer

Leicester, UK
Hybrid / WFH Options
VIQU IT Recruitment
with CI/CD tools (Jenkins and Concourse CI ideally). Must hold experience within AWS and hold relevant AWS certifications (SA1, DOP-C02 for example). Experience with ECS/Kubernetes. Experience with infrastructure as a code and config management tools. Sctipting experience (PowerShell, Bash ect.). Experience with either Python or Typescript as well as knowledge of More ❯
Posted:

Senior Software Engineer

Leicester, Leicestershire, East Midlands, United Kingdom
Hybrid / WFH Options
Oscar Associates (UK) Limited
with product, design, and stakeholders to shape features with purpose. Our Tech Stack PHP 8.x with Laravel Vue.js, TypeScript PostgreSQL/MySQL Docker, GitHub Actions, CI/CD AWS (ECS, S3, CloudWatch) You'll Fit In If You... Have 5+ years of hands-on experience building web applications at scale. Are highly proficient with Laravel and modern PHP practices. More ❯
Employment Type: Permanent, Work From Home
Salary: £70,000
Posted:

Machine Learning Engineer

Burbage, Leicestershire, United Kingdom
The Portfolio Group
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Engineer

Hinckley, Leicestershire, United Kingdom
The Portfolio Group
agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop More ❯
Employment Type: Permanent
Posted: