51 to 75 of 88 Amazon S3 Jobs in Central London

early product into a scalable, global platform. 🧠 Role Requirements Ideal experience includes: 5+ years with TypeScript, React, Node.js Strong Postgres and AWS (ECS, RDS, S3) Infrastructure-as-code (Terraform preferred) Willingness to work with their Nix-based deployment system Experience in 0→1 or early-stage environments Strong communication ...

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 ...

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. ...

Eligible for UK Security Clearance and willing to undergo the process Desirable experience Practical knowledge of AWS services such as Lambda, ECS, Bedrock, S3 or SageMaker MLOps and ML engineering tooling (e.g. Docker, MLflow) Experience working in highly regulated or government environments Track record of applying large language models ...

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 ...

writing JAVA coding. Experience with Kafka or a similar platform. Experience with Scala and Spark. Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Working in Agile development and/or DevOps ...

product architecture. We expect this team to work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About The Role: We are hiring Software Engineers to work on modernising and enhancing ...

product architecture. We expect this team to work across multiple technologies around a core, including Angular, Python, C#/.Net, SQL, AWS (EKS, S3, Lambda, CDK, etc.), Applied AI/ML libraries and frameworks. About The Role: We are hiring a Software Engineering Lead to take responsibility ...

client’s 100 circa Windows VMs over 6 different accounts using AppStream and RDS for databases an EC2 environment of over 100 services S3 backups and storage FSX cloud storage OKTA is central to their hub so lots of Okta and Okta Workflows work including automation projects Windows server ...

pipelines are optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate ...

performance, quality, and scalability standards Skills Proven experience delivering data engineering solutions in AWS environments Strong hands-on experience with AWS services including Redshift, S3, Lambda, and DynamoDB Advanced SQL and Python development skills Experience integrating data via APIs Tableau dashboard development and data visualisation experience ...

Designing and developing scalable, testable data pipelines using Python and Apache Spark • Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3 • Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing • Contributing to the development of a lakehouse architecture using ...

Experience designing and delivering ML solutions across the full lifecycle, from experimentation to production Strong knowledge of AWS-based ML services (e.g. SageMaker, Lambda, S3) in production environments Experience with experiment design, hypothesis testing, A/B testing and statistical evaluation Proven ability to transition validated models into production ...

fast-paced environment. Strong software development experience with Python and Django in a professional environment. Solid understanding of AWS services—ideally including S3, Transfer Family, EC2 and RDS. Experience across the full software development lifecycle (design, build, testing, deployment). Excellent written and verbal communication skills, and confidence interacting ...

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 ...

Data Engineering , ideally in cloud-native or AI-oriented environments. Strong Python skills for data pipeline and service development. Proficiency with AWS (Lambda, S3, Glue) and orchestration tools (Airflow, Dagster, etc.). Familiarity with relational and vector databases (PostgreSQL, Pinecone, MySQL). Understanding of API development and event-driven ...

monitoring frameworks Explainability tooling Essential Strong experience in MLOps/ML platform engineering Solid Python skills Hands-on experience with AWS, particularly SageMaker and S3 Experience with Docker and CI/CD pipelines Background building or maintaining ETL/orchestration workflows Experience using MLflow or a similar experiment tracking ...

Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing ...

publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured OKR methodology Why you will enjoy working with our client: You’ll join a small, growing ...

/ML, and BI capabilities across the enterprise. 2. Cloud Data Enablement Architect and implement cloud-native data solutions using AWS (Redshift, Glue, S3, Athena), Azure (Synapse, Data Factory, Databricks), or GCP (BigQuery, Dataflow, Pub/Sub). Guide the migration of on-premise data assets to cloud environments ...

data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. Extensive Python API design experience, preferably Fast API Strong SQL knowledge Nice to have skills Pyspark Databricks ETL design ...

long term reliability What they are looking for: • Strong experience in data engineering and cloud based data platforms • Experience with AWS services such as S3, Redshift and Lambda is ideal, but open to cloud agnostic and Azure backgrounds with lakehouse expertise • Hands on experience with Airflow, dbt and Kafka ...

software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such as EC2, S3, RDS, and CloudFormation. Deploy and manage containerized applications using Kubernetes for orchestration and management. Implement and maintain infrastructure as code using tools like Terraform … best practices. Requirements: Proven experience as a Senior DevOps Engineer or similar role. Strong knowledge of Amazon Web Services (AWS), including EC2, S3, RDS, CloudFormation, and IAM. Extensive Kubernetes experience - live/in-production Kubernetes specifically. Proficiency in infrastructure as code tools such as Terraform, Ansible ...

modern approach to data delivery. Skills & Experience Needed Strong background in data engineering, especially within AWS environments. Hands-on experience with services such as S3, Redshift , and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines ...

quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable ...