126 to 150 of 154 Amazon Kinesis Jobs in the UK

Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on supporting customers … experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system- Experience ...

fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture ...

Shores, we're creating a world of work where potential matters more than experience. Our market-leading, task-based psychometric assessments help organisations like Amazon, Siemens and Jet2 make fair, evidence-based hiring decisions. We've doubled ARR year-on-year for the past three years and are looking … your path has been unconventional, we'd love to hear from you. Our Stack Infrastructure & DevOps AWS (EKS, Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Security Prometheus, Grafana, OpenSearch, CloudWatch Okta (SSO/IdP) Vulnerability management ...

friendly, connected product experiences. Curiosity, adaptability, and a drive to be part of an A Player engineering team. Preferred Experience with AWS IoT Core, Kinesis data streaming, message queues (SNS/SQS), serverless architectures, and containerization (Docker). Prior work with connected devices, IoT ecosystems, or large scale device … version control; and AWS CodePipeline or similar for CI/CD. Technical skills, nice to have: Rust and C/C++; AWS services including Kinesis, Step Functions, API Gateway, S3, and Athena; BLE and WiFi connectivity; distributed tracing alongside CloudWatch; and AI tools such as AWS Bedrock, Claude Code ...

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every step … particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon‐scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will ...

career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that … across technical and non-technical audiences, including executive level stakeholders or clients Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI) Experience implementing cloud ...

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will … understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real-time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost-control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

Amazon Web Services Professional Services (ProServe) team is seeking a Senior Delivery Consultant specialising in AI/ML and generative AI to join our Data & AI practice. In this role, you will lead the technical direction and delivery of complex enterprise AI engagements, working across multiple workstreams and helping … executable technical plans.Preferred qualification - Ph.D. in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2- Experience building complex software systems that have been successfully delivered to customers, or experience in machine learning, data mining, information retrieval ...

your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that … communicating across technical and non-technical audiences, including executive level stakeholders or clientsPreferred qualification - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)- Experience implementing cloud ...

least 2 years in a customer-facing, embedded, or solutions engineering capacityStrong hands-on experience with streaming and event-driven architectures — Kafka, Flink, Kinesis, Spark Streaming, or equivalent (DynamoDB and MemoryDB/Redis)AWS Cloud Fluency - understand how to design scalable end-to-end architectures and pipelines on large … volumes of data (think Kafka/Flink for streaming + AWS Lambda + Kinesis)Solid data engineering fundamentals: pipeline design, SQL, Python, schema modeling, data qualityExperience building or integrating with CDP, marketing automation, or behavioral data-management platformsProven ability to go from ambiguous problem to working system ...

primary focus on the Delta Lakehouse Platform on Databricks.Responsibilities:Data Ingestion: Build and optimize data ingestion pipelines using AWS services such as Lambda, Kinesis, and Glue.Data Transformation: Develop, maintain, and optimize transformation pipelines within our Delta Lake on Databricks.Data Modelling: Design and implement efficient and reliable data models … data engineering field in general. Provide recommendations on the adoption of new tools and technologies.Requirements:AWS Services: Proficiency in AWS services like Lambda, Kinesis, and Glue.Databricks & Delta Lake: Hands-on experience with Databricks and Delta Lakehouse architectures.Programming: Proficient in Python, Scala, and SQL for data engineering tasks.ETL Processes: Demonstrated ...

PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit‐learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration‐driven training … Able to explain technical trade‐offs clearly to people who are not engineers. Desirable Event‐driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another regulated industry. Why Work for Proximie ...

PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training … Able to explain technical trade-offs clearly to people who are not engineers. Desirable Event-driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another regulated industry. Why Work for Proximie ...

Amazon Web Services Professional Services (ProServe) team is seeking an experienced ProServe Cloud Architect (PCA) to join our team at Amazon Web Services (AWS). PCA’s work closely with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. … mentoring, training, and creating reusable artifactsBasic qualifications- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in software development with object oriented language- Experience in cloud based solution ...

your career on AWS this is one where that depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis ...

technologies, event-driven architecture, and distributed data systems. The Role Design and build real-time data pipelines using Apache Flink , Apache Kafka , and AWS Kinesis Develop scalable event-driven and streaming solutions Integrate data from source systems including Oracle, MySQL, and Sybase Build data processing, transformation, enrichment, and quality … data platforms Create and manage infrastructure using Terraform Skills & Experience Strong commercial experience with Apache Flink Strong experience with Apache Kafka Experience with AWS Kinesis Advanced SQL skills and strong relational database knowledge Experience working with Oracle, MySQL, and Sybase Hands-on Terraform experience Proven experience building real-time ...

solving, what decisions you made and why Based in the UK with the right to work here Desirable Experience with technologies such as Kafka, Kinesis, PostgreSQL or DynamoDB Practical experience using AI development tools Cursor, GitHub Copilot, Claude Code, LLM APIs, MCP-based tooling or agentic workflows to meaningfully … solving, what decisions you made and why Based in the UK with the right to work here Desirable Experience with technologies such as Kafka, Kinesis, PostgreSQL or DynamoDB Practical experience using AI development tools Cursor, GitHub Copilot, Claude Code, LLM APIs, MCP-based tooling or agentic workflows to meaningfully ...

leading platform modernisation initiatives that improve modularity, reliability, and developer experience at scale.You'll design and build event-driven data flows using AWS Kinesis, SQS/SNS, and the Spring Cloud Stream processing framework, and improve the GraphQL API layer and backend services powering hotel pricing, inventory, and demand … 7+ years building production backend systems at scaleDeep expertise in Java — Spring Framework, Gradle, and JVM performance tuningProduction experience with event-driven architectures — AWS Kinesis, Kafka, or equivalentStrong system design fundamentals: domain decomposition, modularity, schema evolutionAWS production experience across EKS/ECS, S3, SQS/SNS, and IAMA demonstrated ...

NCDS platform, defining target-state architecture, reference patterns and adoption standards. Set direction for platform-scale infrastructure across services including VPC, IAM, S3, Glue, Kinesis, EC2, Lambda and RDS, and establish infrastructure-as-code standards using Terraform or CloudFormation. Architect ingestion, processing and integration pipelines that connect NCDS with … solution or technical architecture roles, including significant experience architecting AWS platforms. Deep, demonstrable expertise across core AWS services, including EC2, S3, IAM, VPC, Glue, Kinesis, Lambda and RDS. Proven experience defining infrastructure-as-code standards using Terraform or CloudFormation at programme scale, together with strong knowledge of cloud governance ...