improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience: Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practises and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯
Reading, Berkshire, United Kingdom Hybrid / WFH Options
Onyx-Conseil
culture of continuous learning and development. Requirements Proven experience as an AWS Platform Engineer, with a strong focus on multi-tenanted platforms. Extensive knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and more. Strong background in networking, including VPN, DNS, load balancing, and firewall configurations. Demonstrated expertise in security practices, including identity and access management More ❯
What makes you an asset to our team: 2+ years of commercial experience with Azure and/or AWS is essential (using IAM/AAD, keyvault, blob storage/S3, azure functions/lambdas, web apps, queues, database and managed services/products - e.g. cosmosDB/DynamoDB). 2+ years of in a few of the areas: serverless architecture More ❯
querying capabilities. Velocity Scripts: Utilize Velocity scripts to enhance server-side rendering and dynamic content generation. Cloud Services: Deploy and manage applications on AWS, utilizing services such as EC2, S3, Lambda, and more. Implement best practices for security and scalability in cloud environments. Continuous Integration/Continuous Deployment (CI/CD): Set up and maintain CI/CD pipelines More ❯
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 ❯
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 ❯
ll Bring: Proven experience as a Senior or Principal Data Engineer . Deep expertise in QGIS and FME for geospatial data transformation. Strong hands-on experience with AWS (e.g., S3, Lambda, Glue) and/or Azure (e.g., Data Factory, Synapse). Proficiency in Python or other scripting languages for data manipulation. A strategic mindset with the ability to lead More ❯
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 ❯
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 ❯
Milton Keynes, Buckinghamshire, UK Hybrid / WFH Options
Triad Group Plc
maintain end-to-end data flow diagrams, logical data models, and entity relationship diagrams (ERDs). Design scalable, secure, and robust data architectures on AWS, incorporating services such as S3, Glue, Redshift, RDS, and Lambda. Work with stakeholders to understand business and data requirements and translate them into architectural blueprints. Ensure data architecture complies with government standards for security More ❯
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 ❯
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 ❯
