1 to 25 of 58 Permanent Amazon S3 Jobs in London

excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure … customer success, and are committed to improvement. AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart ...

deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation. Proven track record transitioning models from experimentation to production ...

systems, and architectural thinking. Tech Stack We’re cloud-native platform. Experience with the following will be highly desirable: AWS – Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/ ...

driven to achieve a full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes ...

Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise in experiment design, including hypothesis formulation, A/B testing and statistical evaluation Proven experience moving models from experimentation into production with appropriate ...

Hands-on experience deploying applications on Red Hat OpenShift and/or Kubernetes. Strong cloud experience with AWS services such as ECS, EKS, Lambda, S3, etc. Solid understanding of MongoDB and NoSQL design patterns. Prior experience in Payments Processing, financial services, or banking systems. Strong communication skills ...

month in office based in Stratford) Key Skills and Responsibilities: Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development ...

closely with DevOps, Product, and QA teams to deliver high-quality solutions. Deploying and supporting services in AWS with tools such as Lambda, ECS, S3, and CloudFormation. What we’re looking for: Strong experience with Java, Spring Boot, and microservice architecture. Proven background working in cloud environments (ideally ...

both batch and micro-batch processing. • Define the E2E Data architecture framework Required skills: Should have strong experience in AWS Data stack like S3/Lambda/Glue/Redshift etc., Should be able to do Schema Management Good experience in Payment platform and ISO 20022. Strong experience ...

Integration & Cloud (AWS) Build and maintain data pipelines integrating MDM with source/target systems on AWS. Work with AWS services such as: EC2, S3, RDS/Redshift, Lambda, Glue, CloudWatch, Step Functions (customize based on your environment) Implement CI/CD pipelines for MDM deployments using CodePipeline ...

knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please either click online or email directly to henry.clay-davies@searchability.com. For further ...

make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python, Bash or Go (scripting, automation) GitHub Actions ...

deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation ...

complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced ...

platform. Experience with any of the following is a bonus, you do not need all of them. Backend & Infrastructure AWS (Lambda, API Gateway, Cognito, S3, OpenSearch) Node.js/TypeScript Python PostgreSQL & DynamoDB Serverless architecture & microservices Docker, CI/CD pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC ...

investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience … optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. ...

multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines ...

exploration Redis for caching and task queues GitHub, Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3, CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more ...

looking for Strong hands-on experience across TypeScript/React/Node/REST APIs AWS experience (serverless is ideal): Lambda, SQS, S3, Cognito, API Gateway, EventBridge Microservices + event-driven patterns PostgreSQL plus at least one of DynamoDB/Redis Comfortable leading technical decisions and collaborating with product ...

have: Strong Python ML experience (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow) Production experience with AWS ML services (e.g. SageMaker, Lambda, S3) Proven ability to move models from experimentation into live systems Experience with MLOps tools (MLflow, Weights & Biases, DVC, or similar) Hands-on exposure to LLM/GenAI ...

deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation ...

equivalent distributed event store and stream-processing platform. Experience working with Redis or equivalent in memory storage. Experience working with AWS k8s, EKS, S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Experience with concurrent development source control (GIT). Systems integration experience with networking, data migrations, API integration and design. ...

knowledge of Python and building performant backend services Advanced SQL skills and experience optimizing Postgres at scale Experience with AWS services (EC2, RDS, Lambda, S3, or similar) Track record of building and maintaining systems that handle significant user load Ideal Candidate Quality Focus: Obsessive attention to detail and commitment ...

Experience In Some Of These, But If Not Well Help You With Them Good knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker) ML Engineering and MLOps knowledge (e.g. Docker, ML flow) Experience working with government or other carefully regulated industries Track record of applying LLMs ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...