151 to 175 of 990 Remote/Hybrid Amazon AWS Jobs

workloads across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high-performance, and cost-optimised AI and ML solutions using ...

implementing robust REST APIs. Data & DevOps: Professional experience with PostgreSQL (performance and scalability) and 'DevOps mindset' regarding CI/CD pipelines. Experience with AWS and/or Kubernetes is a plus. Bonus Points: Knowledge of Python or Generative AI frameworks (Langchain, RAG pipelines) is a significant plus. Leadership & Soft Skills ...

implementing robust REST APIs. Data & DevOps: Professional experience with PostgreSQL (performance and scalability) and 'DevOps mindset' regarding CI/CD pipelines. Experience with AWS and/or Kubernetes is a plus. Bonus Points: Knowledge of Python or Generative AI frameworks (Langchain, RAG pipelines) is a significant plus. Leadership & Soft Skills ...

PAYE THROUGH UMBRELLA MUST HOLD A ACTIVE SC CLEARANCE Role Description: Qualifications Relevant certifications (e.g., CyberArk Defender, CISSP, CISM) Experience in cloud environments (AWS, Azure, GCP) and hybrid infrastructures Knowledge of DevSecOps practices and CI/CD pipeline integration Key Responsibilities Design, deploy, and manage PAM solutions (e.g., CyberArk, BeyondTrust ...

recognised training in: .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. You will follow a structured career development programme with the view to being promoted within ...

platform engineering roles Strong knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, or Azure DevOps) Experience with cloud platforms (preferably Azure; AWS or GCP also acceptable) Hands-on experience with Docker and Kubernetes Scripting skills (Bash, Python, or PowerShell) Strong understanding of networking, systems, and security practices Experience ...

platform engineering roles Strong knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, or Azure DevOps) Experience with cloud platforms (preferably Azure; AWS or GCP also acceptable) Hands-on experience with Docker and Kubernetes Scripting skills (Bash, Python, or PowerShell) Strong understanding of networking, systems, and security practices Experience ...

Lead Machine Learning Engineer: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ML knowledge and broad problem-solving ability. Excellent communicator, guiding ...

mentorship to other data engineers SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow ...

mentorship to other data engineers SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow ...

mentorship to other data engineers SKILLS AND EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow ...

Contributing to a modern DevOps culture with CI/CD, automated testing, and infrastructure as code Tech stack: React, Node.js (Nest.js), Python/FastAPI, AWS (ECS), PostgreSQL, Kafka, Terraform, GitHub CI/CD Testing: Jest, Cypress, Pact, Pytest What they’re looking for: • Strong experience building distributed systems/microservices ...

Lead Machine Learning Engineer: Strong Python skills and experience operationalising models with frameworks like Scikit-learn, TensorFlow, or PyTorch. Cloud and full-stack experience (AWS, Azure, or GCP) with containerisation (Docker) and orchestration (Kubernetes). Recognised technical expert with deep ML knowledge and broad problem-solving ability. Excellent communicator, guiding ...

Engineering concepts, including data ingestion, transformation, and pipeline monitoring; Understanding of data governance, security, and data quality principles; Experience with cloud platforms such as AWS, Azure, GCP, or Snowflake; Familiarity with big data tools; Hands-on experience with APIs (e.g., RESTful APIs, GraphQL) and system integration; Knowledge of microservices architecture ...

with API platforms, message brokers, ETL/ELT pipelines, and FHIR-based integrations. Strong data modelling skills and experience designing cloud-native data platforms (AWS, Azure, GCP). Deep understanding of UK primary care data flows, NHS interoperability standards, and patient identity management. Knowledge of population health and analytics ...

DevOps or Platform Engineering Strong experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps) Hands-on experience with cloud platforms (Azure, AWS, or GCP) Experience with Docker and Kubernetes Scripting knowledge ( Bash, Python, or PowerShell ) Solid understanding of networking, infrastructure, and security Experience working in Agile DevOps environments ...

demonstrate strong knowledge of: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and Azure Cosmos DB. Training will be provided in any of the technologies you lack, allowing you to turn your ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and Azure Cosmos DB. Training will be provided in any of the technologies you lack, allowing you to turn your ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

following is desirable: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Azure, AWS, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your technological weaknesses ...

large-scale, high-performance production environments Proven ability to design complex, scalable ML systems - and influence broader technical outcomes Hands-on with Azure or AWS, and tools like Kubernetes & Docker Experience with real-time data streaming (Kafka, Spark Streaming) Strong MLOps knowledge: MLflow, Kubeflow, and the full ML project lifecycle ...