151 to 175 of 338 Amazon S3 Jobs in England

ensure we're always aligned with best practices. What you'll bring: Hands-on technical experience supporting security solutions on cloud technology platforms (preferably AWS, including EC2, VPC, IAM, S3, Control Tower, Config, Security Hub) and traditional on-premise environments. Awareness of how to secure a mix of Linux, Windows, Apple & Android OS. Knowledge of network perimeter security, including More ❯

Spring boot and hibernate frameworks. Proficiency in building APIs, microservices, and implementing event-driven architectures. Experience with databases, including SQL and NoSQL. Familiarity with AWS cloud services such as S3, RDS, and DynamoDB. Strong focus on writing clean, modular, testable code with experience in unit and integration testing. Hands-on experience with CI/CD pipelines and version control More ❯

ensure we're always aligned with best practices. What you'll bring: Hands-on technical experience supporting security solutions on cloud technology platforms (preferably AWS , including EC2, VPC, IAM, S3, Control Tower, Config, Security Hub) and traditional on-premise environments. Awareness of how to secure a mix of Linux, Windows, Apple & Android OS . Knowledge of network perimeter security More ❯

Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer us and Bluecrest feels like More ❯

Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer us and Bluecrest feels like More ❯

Updating and altering application features to enhance performance. Proficient with code versioning tools. Prior working experience in Agile methodologies. Our systems sit on AWS, so experience with EC2, RDS, S3 and LAMBDA is beneficial but not essential Other information The next steps So, if you think you've got some exceptional skills to offer us and Bluecrest feels like More ❯

in designing, building, and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through mentorship, feedback, and More ❯

native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities More ❯

environment Confident communicator who can make complex simple If you want to build the cloud backbone of tomorrow's AI products, get in touch for more info. Keywords - EC2, S3, RDS, Lambda, Bedrock, Secrets Manager, CloudFront Elastic Kubernetes Service (EKS), AWS Glue, Simple Notification Service (SNS), CloudWatch AWS Solutions Architect - AI Startup Oscar Associates (UK) Limited is acting as More ❯

environment Confident communicator who can make complex simple If you want to build the cloud backbone of tomorrow's AI products, get in touch for more info. Keywords - EC2, S3, RDS, Lambda, Bedrock, Secrets Manager, CloudFrontElastic Kubernetes Service (EKS), AWS Glue, Simple Notification Service (SNS), CloudWatch AWS Solutions Architect - AI Startup Oscar Associates (UK) Limited is acting as an More ❯

Would you like to work on one of the world's largest transactional distributed systems? How about working with customers and peers from the entire range of Amazon's business on cool new features? Whether you're passionate about building highly scalable and reliable systems or a software developer who likes to solve business problems, Selling Partner Services … 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms … e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience building large-scale, high-throughput, 24x7 data systems - Experience with big data technologies such as: Hadoop, Hive More ❯

due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and … as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premise and in AWS utilising technologies such as EKS, S3, FSX. The main purpose of this role is to lead efforts of continued platform onboarding to AWS as well as the new initiative to deploy into to GCP. The … and technologies such as REST, HTTP/S, AMQP, WebSocket Expert knowledge of Confluent Kafka Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore, Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer "What-if" thinking, while designing or More ❯

days per week. This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate Key Responsibilities: Design, develop, and maintain conversational interfaces using Amazon Lex, focusing on chatbots and voicebots with natural language understanding (NLU) Define and implement conversation flows, intents, and dialogue management Deploy chatbots and voicebots integrated with AWS Lambda, Back End … testing, debugging, and optimization to ensure stability and accuracy Leverage relevant Generative AI models (LLMs) for enhanced conversational capabilities Ensure secure and scalable integration with cloud-based components like S3, RDS, and API Gateway Key Requirements: Essential Skills & Experience: Hands-on expertise in Amazon Lex and related AWS services (Lambda, S3, RDS, API Gateway) Experience deploying More ❯

as Spark Structured Streaming or Kafka Streams)? Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised More ❯

and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization (Docker images) and understanding of Container lifecycle More ❯

and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization (Docker images) and understanding of Container lifecycle More ❯

driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments. Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. … PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience: - 5-7 years in a Data Science role - Strong experience with Amazon Bedrock and SageMaker - Python integration with APIs (e.g., ChatGPT) - Demonstrable experience with LLMs in AWS - Proven delivery of OCR and document parsing pipelines More ❯

a great opportunity for a Data Scientist. You will have solid experience of Bedrock, Sagemaker, Python and Pandas. Key Responsibilities: * Working experience LLMs under Bedrock and Sagemaker both Amazon * Python with APIs to ChatGPT * Strong coding … skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Key Skills & Experience: AWS Data Science Environment: Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations … insights. Stakeholder Collaboration: Effective communication with technical and non-technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). More ❯

Desirable Skills: Marketing Cloud experience. Certified Sales Cloud Consultant. Experience with AI models within Salesforce or other platforms. Experience with cloud platforms such as AWS, including services like Lambda, S3, or API Gateway. Familiarity with JavaScript frameworks such as React for building UI components or integrations. Knowledge of Salesforce DevOps tools (e.g., Git, Gearset, Copado, or similar). What More ❯

design and maintenance of their back-end systems. Please apply if you have of the following: *** Amazon Web Services AWS (certifications desirable but not essential) - EC2, Autoscaling, S3, Cloudwatch, Route 53 *** Linux Ubuntu, bash *** Docker/Terraform *** Chef/Puppet, Jenkins, Ansilbe *** Networking skills TCP/IP, HTTP, SSL, *** Scripting experience ***Experience working with Agile methodologies Apply More ❯

Consultant - AI/ML and Generative AI, Professional Services GCC The 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 … to apply. If 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's why customers from the most … demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, SageMaker, EC2, S3, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Machine Learning Speciality, Machine Learning Engineer Associate, Solutions Architect Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge More ❯

design and maintenance of their back-end systems. Please apply if you have of the following: *** Amazon Web Services AWS (certifications desirable but not essential) - EC2, Autoscaling, S3, Cloudwatch, Route 53*** Linux Ubuntu, bash*** Docker/Terraform*** Chef/Puppet, Jenkins, Ansilbe*** Networking skills TCP/IP, HTTP, SSL,*** Scripting experience***Experience working with Agile methodologiesApply now More ❯

and code organization. 2. AWS Services & API Integration Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. Automate infrastructure provisioning and manage cloud resources. Handle IAM roles, credential management, and secure service integrations. 3. LDAP, Vault, JIRA/Confluence, Kubernetes Integration in More ❯

ES6+), TypeScript, React, Next.js, Redux, HTML5, CSS3/SCSS Testing: React Testing Library, Jest, Cypress (or similar) Build & Tooling: NPM, Webpack, Vite (or similar modernbundlers), Babel DevOps & Tools: AWS (S3, CloudFront, etc.), GitlabCI/CD, Git Backend Interaction: RESTful APIs (from Grails/Java services) Qualifications Must haves: 5-7+ years of proven track record in frontend development More ❯

reusable data assets that power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act as the technical subject matter expert on data engineering, offering in-house consultancy support to multiple business areas. Engage with data owners, security officers … training, and cross-team collaboration. Key Requirements: Essential: 3+ years' experience in a Data Engineering role, delivering high-quality, reusable data pipelines. Strong experience working within AWS environments specifically S3, Glue, Lambda, GitHub, and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power More ❯