151 to 175 of 235 Amazon S3 Jobs in London

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 ...

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 ...

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 ...

development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in data workflows. Stakeholder management Career & Development ...

development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in data workflows. Stakeholder management Career & Development ...

completeness Build and maintain scalable ETL/ELT pipelines for ingestion, transformation, and validation Develop data models and implement storage solutions such as S3, Azure Blob, BigQuery or Snowflake Apply data quality checks and prepare datasets for reporting, analytics and visualisation Support data governance, standards, anonymisation and security best ...

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 ...

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 ...

leading a team of data engineers, with the ability to coach others, organise and run code reviews Experience in AWS cloud services, particularly Lambda, S3, and EKS, API Gateway Strong experience with Python Strong experience in Kafka Strong experience of GitHub actions, Terraform Excellent understanding of data streaming architectures ...

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 ...

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 ...

Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with ...

Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with ...

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 ...

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 ...

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 ...

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 ...

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 ...

/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 ...

/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 ...

Tech Stack & Experience Must Have Strong Python development experience Hands-on experience with cloud object storage for unstructured data (Google Cloud Storage preferred; AWS S3 also acceptable) PyTorch experience, particularly: Dataset management Data loading pipelines Running PyTorch workloads in cloud environments We are not looking for years of PyTorch ...

Tech Stack & Experience Must Have Strong Python development experience Hands-on experience with cloud object storage for unstructured data(Google Cloud Storage preferred; AWS S3 also acceptable) PyTorch experience, particularly: Dataset management Data loading pipelines Running PyTorch workloads in cloud environmentsWe are not looking for years of PyTorch experience ...