1 to 25 of 191 Remote/Hybrid AWS Jobs in the East of England

tools Desirable Experience Telecoms platforms (charging, mediation, invoicing) SDK testing and contract testing Performance or load testing exposure Containers and cloud platforms (Docker, Kubernetes, AWS/Azure/GCP) This role is not suitable for: UI automation–focused profiles (e.g. Selenium/Cypress-first) Manual-only QA roles SCADA, hardware ...

certification CFA/FRM/TOGAF Experience in enterprise design involving Finance and People systems Strong understanding of integration and hosting services (cloud native AWS preferred, microservices, APIs, events, and canonical data models) Solid understanding of architecture best practices Strong ability to transform business requirements into IT solutions Key Skills ...

latency, maintaining data feeds and developing key underlying transport protocols for data transmission. The platform has been built with C++ and C# deploying to AWS and requires high scalability and low latency - they currently handle 40 billion messages per day. Location/WFH: You can work remotely ...

LDAP directories, preferably Oracle Strong understanding of security frameworks and compliance (NIST, ISO 27001, SOX, GDPR). Experience working with cloud identity (Azure, AWS, or GCP). What you'll get in return This role is available for hybrid working with a typical requirement to work 2 days per week ...

Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make … About you: You have strong C# .Net Core backend development skills You have JavaScript experience, combined with Angular or React You have experience with AWS and microservices You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You enjoy collaborating, learning new things ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

great attention to detail Good communication skills and the ability to work effectively in a remote setup Nice to Have Experience with cloud platforms (AWS, Azure, or GCP) Exposure to big data technologies (Spark, Hadoop) Familiarity with version control tools (Git) Personal projects, a GitHub portfolio, or Kaggle experience What ...

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. ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

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. ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

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. ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

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. ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation, including context extension and RAG-based frameworks. Proven ability … grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich product environments. Why This Role Play a central role in defining ...

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. ...

optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources ...

optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources ...