1 to 25 of 69 Amazon S3 Jobs in London

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 ...

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, along with Kubernetes for container orchestration What we're looking for (Requirements): Strong commercial experience with Java and Spring Boot Proven experience ...

understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. Strong analytical and problem solving mindset with ...

charts libraries such as echarts (preferred), Chart.js, or Recharts. Proficiency in building responsive UIs with Tailwind CSS. Hands-on experience with AWS services (EC2, S3, Lambda, RDS, etc.). Experience developing backend components using Python and implementing unit tests (pytest). Experience working in a Scrum Agile environment. Familiarity ...

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 ...

hybrid solutions on AWS and Azure - Establish architecture governance frameworks and best practices - Lead cloud migration and modernization initiatives Cloud & Technology Leadership: - AWS: EC2, S3, RDS, Lambda, EKS, Elastic Beanstalk, IAM, Neptune - Azure: Data Factory, Databricks, Synapse, Data Lake, Event Hub, AKS, Power BI - Microservices and APIs using Java ...

maintain and optimize a secure, scalable cloud infrastructure supporting advanced trading strategies. Responsibilities: Manage and support AWS environments using core services such as EC2, S3, and VPC. Troubleshoot and resolve complex infrastructure issues independently. Automate cloud operations using Terraform, CloudFormation, Python, and Bash. Monitor performance and costs, implementing optimizations ...

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. ...

bring expertise in an object-oriented programming language, experience building cloud-based systems (ideally on AWS using services such as Lambda, Step Functions, and S3), and familiarity with CI pipelines and modern DevOps practices. Experience with AWS CDK, monitoring and alerting integrations, and other non-functional engineering concerns ...

NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/ ...

London for a 6 month contract on-site 2 days per week. What You’ll Bring Strong hands-on experience with AWS (Lambda, S3, CloudFormation, serverless architectures) Experience with Snowflake in a DevOps or data-platform context Solid understanding of Docker and containerised application workflows Familiarity with Java (basic ...

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 ...

Experience building large-scale ingestion and normalisation pipelines Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance ...

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 ...

JavaScript/TypeScript React, Vue, or Angular Component-based architecture and state management API integration and async data handling AWS & Integration Basic AWS services (S3, CloudFront, API Gateway) Authentication (SSO, OAuth) WebSockets for real-time chat To apply for this role please submit your CV or contact Dillon Blackburn ...

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 ...

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 ...