Remote Amazon S3 Jobs in Oxfordshire

7 of 7 Remote Amazon S3 Jobs in Oxfordshire

.Net Developer

Oxfordshire, England, United Kingdom
Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
stack: AWS, Docker, SQL/NoSQL, CI/CD pipelines Tech You'll Work With C#/.NET (Core and latest versions) SQL Server, Postgres, MongoDB, DocumentDB AWS : ECS, S3, SQS, RDS, DocumentDB Docker for containerisation Git/Bitbucket , Agile workflows Bonus: exposure to CI/CD , microservices , or Blazor/MAUI You'll Thrive If You... Have 3+ More ❯
Employment Type: Full-Time
Salary: £45,000 - £50,000 per annum
Posted:

Machine Learning Engineer

Oxford, Oxfordshire, South East, United Kingdom
Hybrid / WFH Options
WR Engineering
on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps More ❯
Employment Type: Permanent, Work From Home
Salary: £75,000
Posted:

Cloud Infrastructure Engineer

East Hagbourne, Oxfordshire, United Kingdom
Hybrid / WFH Options
Corriculo Ltd
the ability to purchase more Share options Private health insurance What's required to be successful in this role? Proven experience with AWS cloud services and architecture design, specifically S3 and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

MLOps Engineer

Oxfordshire, England, United Kingdom
Hybrid / WFH Options
Kamino Consulting Ltd
Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯
Posted:

Machine Learning Operations Engineer

Oxford, Oxfordshire, United Kingdom
Hybrid / WFH Options
Vicon Motion Systems Ltd
Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Machine Learning Operations Engineer

Botley, Oxford, Oxfordshire, England, United Kingdom
Hybrid / WFH Options
RECRUIT 12
Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and … Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions More ❯
Employment Type: Full-Time
Salary: Competitive salary
Posted:

Machine Learning Operations Engineer

Botley, Yarnton, Oxfordshire, United Kingdom
Hybrid / WFH Options
Recruit 12
Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and … Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions More ❯
Employment Type: Permanent
Posted:
Amazon S3
Oxfordshire
10th Percentile
£71,125
25th Percentile
£72,813
Median
£83,750
75th Percentile
£92,813
90th Percentile
£93,375