76 to 86 of 86 Amazon Kinesis Jobs in London

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 ...

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 ...

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 ...

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 ...

Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. … 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 ...

Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs …/CD Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical devices, or another regulated industry Core ...