1 to 25 of 33 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval ...

error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval ...

following, or be open to learning: JavaScript: React, Node.js, Jest, Cypress Ruby (non-Rails environment) nice to have AWS: EC2, ECS, Lambda, S3, SQS Serverless.com Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong communicator with empathy ...

transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC DV eligible required ...

technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge of data quality frameworks and performance optimisation techniques. Degree in Computer ...

complex stakeholder environments. Nice to have AWS certifications (Solutions Architect - Professional preferred). Hands-on experience with AWS services such as EC2, Lambda, S3, RDS, and CloudFormation. Familiarity with DevOps practices, automation tools, and modern Product Operating Models. Package c£130,000 base salary + £40,000 performance bonus. ...

roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. ...

work Awareness of ethical, privacy, security and policy considerations in applied AI Desirable Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven ...

technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation ...

will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/ ...

payment processing and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application ...

scheduling, maintaining and resolving issues with batch or micro-batch jobs on AWS ETL or Azure ETL services Experience querying data stored on AWS S3 or Azure ADLSv2, or through a Lakehouse capability Experience in managing API-level and Database connectivity Experience using source control and DevOps tooling such ...

with strong error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing ...

with strong error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing ...

analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform ...