1,476 to 1,500 of 3,003 AWS Jobs in England

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

AWS Engineer Hybrid based (Leeds Office) Paying up to 60k, depending on experience. Must be eligible for SC Clearance. We are working with a highly regarded Cloud Consultancy that has grown to a team of over 600 specialists across the UK. The business is recognised for its deep expertise … scale transformation and managed services to clients across both the public and private sectors. As part of their continued expansion, they are seeking an AWS Engineer to join the organisation on a permanent basis. This role is ideal for someone with a strong background in Linux who is looking ...

Cloud DevOps Engineer (Associate) Do you have 2-4 years of AWS, DevOps, and IaC experience? We need an Associate Cloud DevOps Engineer to help us design, automate, and operate our core AWS runtime platforms using CloudFormation/CDK . The Mission: Build & Automate: Design and operate AWS services …/ECS, Lambda, RDS) using CloudFormation and AWS CDK . Pipeline Excellence: Assist in CI/CD development ( GitLab, Jenkins, CodePipeline ). Reliability: Contribute to observability (metrics, logs) and incident response. Security: Implement security controls and secrets management. Code: Automate tasks primarily using TypeScript . Must-Haves: 2-4 years ...

Backend Engineer, java, Kotlin, AWS | Fintech, Payments Platform (B2B) | Leeds, Hybrid (2 days per week) | Salary Up to £65,000+Bonus & Benefits The Company We are working with a international Fintech Start-Up in the payments space who are completely changing the game for how payments work for small businesses. They … with the lastest cloud natve technologies in a cross functional team and delivering real value to customers. Responsibilities for the Backend Engineer, Java, Kotlin, AWS | Fintech, Payments Platform (B2B) | Leeds, Hybrid (2 days per week) | Salary Up to £65,000+ Bonus & Benefits Design, implement, and maintain backend services supporting ...

Backend Engineer, Java, Kotlin, AWS | Fintech, Payments Platform (B2B) | London, Hybrid (2 days per week) | Salary Up to £80,000+ Bonus & Benefits The Company We are working with a international Fintech Start-Up in the payments space who are completely changing the game for how payments work for small businesses. … with the lastest cloud natve technologies in a cross functional team and delivering real value to customers. Responsibilities for the Backend Engineer, Java, Kotlin, AWS | Fintech, Payments Platform (B2B) | London, Hybrid (2 days per week) | Salary Up to £80,000+ Bonus & Benefits Design, implement, and maintain backend services supporting ...

Backend Engineer, Java, Kotlin, AWS | Fintech, Payments Platform (B2B) | London, Hybrid (2 days per week) | Salary Up to £80,000+ Bonus & Benefits The Company We are working with a international Fintech Start-Up in the payments space who are completely changing the game for how payments work for small businesses. … with the lastest cloud natve technologies in a cross functional team and delivering real value to customers. Responsibilities for the Backend Engineer, Java, Kotlin, AWS | Fintech, Payments Platform (B2B) | London, Hybrid (2 days per week) | Salary Up to £80,000+ Bonus & Benefits Design, implement, and maintain backend services supporting ...

AWS security engineer you will lead the remediation of cloud and application vulnerabilities across the AWS environment. You will work closely with Developers, Data Engineers, and the AWS Security Lead to validate findings, prioritise risk, implement fixes, and strengthen security controls. A strong understanding of software development, DevSecOps practices … vulnerability management is essential. Key Responsibilities Own end-to-end remediation of AWS and workload vulnerabilities: confirm findings, assess impact, prioritise actions, and track through to closure. Partner with Developers and Data Engineers to implement secure fixes in code, infrastructure, and delivery pipelines (IaC, containers, serverless, OS/packages). ...

products Oracle Database technologies SQL database technologies Microfocus Cobol and C/C++ IT Business Continuity and Disaster Recovery technologies Infrastructure cloud provision within AWS, Azure and Google Person Specification Effective communication, engagement and influencing skills Ability to effectively represent YBSG through maintaining collaborative relationships Ability to work within agreed ...