26 to 40 of 40 Amazon S3 Jobs in Central London

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 ...

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 ...

research workflows and investment processes Hands-on experience working with front-office stakeholders Advanced capability in: SQL (data interrogation/validation) AWS data services (S3, Redshift, Lambda) Python (analysis, prototyping, tooling support) Excellent documentation skills and experience owning requirements across the full SDLC Highly desirable: Academic background in Finance ...

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 ...

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 ...

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 ...

EKS clusters . Deep understanding of Kubernetes fundamentals (pods, deployments, services, networking, ingress, secrets). Experience with AWS core services: EC2, VPC, IAM, S3, RDS, Route 53, CloudWatch, Lambda, and others. Strong networking fundamentals (DNS, TLS, VPNs, VPC routing, load balancing). Proficiency with Git, CI/ ...

familiarity with multi-drop, time windows, packing rules. Spatial data experience: Coordinates, geocoding, map/route visualisation, basic GIS concepts. Cloud & delivery awareness: AWS (S3, ECS/Lambda, SNS/SQS), Docker, CI/CD (GitHub Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate … data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node (Command services). Interview process 30-min intro (role, your goals) Python ...

ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build … Python; passion for code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital markets environments. Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small ...

ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build … code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Experience working in a fast-paced front-office environment in either engineering ...

high-quality delivery. Set technical direction across Python services, distributed systems, and large-scale data processing. Work heavily with AWS — especially Redshift, Lambda, ECS, S3 , plus data formats like Parquet . Shape high-throughput data pipelines and SQL-based workflows , ensuring scalability and performance. Run technical design reviews , guide … Design to define technical requirements, prioritise roadmaps, and drive measurable outcomes. Tech Environment You’ll Influence Primary language: Python AWS stack: Redshift, Lambda, ECS, S3 Data workflows: Parquet, SQL, distributed data pipelines Scale: systems processing hundreds of millions to billions of rows Focus areas: performance tuning, reliability, cost optimisation ...

Fullstack Engineer - Up to £60k - 2 Days onsite - Fulham I am currently working with an excting SaaS client who has built out a Risk management solutions platform. Their primary focus is to provide businesses with ...

Guidance Review and assess technology decisions made by engineering and research teams, ensuring alignment with the target-state architecture. Recommend best-fit technologies (AWS S3, Parquet, Iceberg, Snowflake, Databricks, lineage tools) based on performance, scale, cost, and business needs. Validate architectural patterns for ingestion, historical data management, time-series … data architecture, data platforms, or cloud-native data engineering within financial services or capital markets. Strong experience reviewing and guiding solutions based on: AWS S3, Glue, IAM Parquet, Iceberg, Delta/columnar formats Snowflake, Databricks, or other cloud analytics platforms Expertise in data lineage, metadata, governance models, and platform ...