226 to 250 of 319 AWS Lambda Jobs in London

Method Resourcing is recruiting Platform Engineers for an AWS-based platform project in London on outside IR35 contracts. You will design and develop platform components using Python or Node.js, and apply Terraform to manage infrastructure as code with AWS services such as ECS, Lambda, IAM and CloudFront. ...

using Python and Apache Spark. Implement batch workflows and ETL processes adhering to modern engineering standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best … batch processing, schema evolution, and ETL pipeline development. Experience with—or strong interest in learning—Apache Spark for large-scale data processing. Familiarity with AWS data ecosystem tools such as S3, Glue, Lambda, and EMR. Ways of Working Comfortable working in Agile environments and contributing to collaborative team ...

tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking … technologies, and in improving data quality, reliability, and performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java ...

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

Expert Python Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven … workflow, automated testing, and CI/CD Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical ...

cases)Improve data quality and governance: schema enforcement, lineage, documentation and lakehouse-to-operational-store sync for consumer-facing dataArchitect Python backend services on AWS serverless paths, including authentication and tenant-scoped access patterns Shape how capabilities are exposed through OneSuite (streaming workflows, tool permissions, MCP integrations and stable … strong SQL and modern testing practicesHands-on Databricks/PySpark experience and lakehouse/medallion architecture (or equivalent large-scale data pipeline experience)Strong AWS serverless background (Lambda, API Gateway, S3, DynamoDB, IAM) with infrastructure-as-code (e.g., CloudFormation/SAM)Deep understanding of multi-tenant SaaS design ...

underpin critical business reporting and operational decision‐making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data … translate complex business needs into scalable, production‐grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency ...

Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools: GA4, GTM, GCP BigQuery. How we get there ...

Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases ...

work across a broad set of technologies as we evolve the platform. Experience is helpful, but not essential:Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat … ability (Python or similar)Strong experience with Snowflake (or similar warehouses)Good understanding of software engineering patterns and architecturesExperience building data-intensive systemsCloud experience (AWS preferred)Infrastructure as code (Terraform ideally)CI/CD best practicesFamiliarity with modern data architectures (Lambda/Kappa)Just as importantly ...

security. OUR MODERN TE OUR MODERN TE Our Modern Tech Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog … similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best practices Familiarity with modern data architectures (Lambda/Kappa) Just as importantly ...

offices at least once per week. Job requirements Strong experience in modern C#, TypeScript, HTML and CSS Strong cloud platform experience, ideally AWS Strong CI/CD experience Strong experience of using infrastructure as code (e.g., CDK, Terraform) Experience developing serverless applications (e.g., Lambda) A strong focus ...

Alembic, Pytest, and type checking. Experience with Pandas, NumPy, Jupyter, OpenTelemetry, Git/GitHub, GitHub Actions, and Docker. Experience developing microservices and/or Lambda-based solutions. Strong experience with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration.Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team.Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows … offs clearly.Collaborative, curious, and comfortable working with ambiguity.Preferred qualifications, capabilities and skillsExperience delivering AI/ML solutions in a regulated financial organisation.Cloud experience on AWS and/or GCP, with AWS preferred.Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

data warehouse using Fivetran and custom pipelines Own data orchestration to keep data moving on schedule and recover cleanly from failures Build and manage AWS-based data infrastructure as code with Terraform Build enterprise-grade customer data pipelines and connectors for HR, payroll, and other systems Reliably and securely … product and stakeholders to scope problems and agree on simple, scalable solutions Build according to security practices such as the OWASP Top 10 and AWS Well-Architected Framework Requirements Strong experience with Python and SQL A few years building and running production data pipelines that other people relied ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

removing technical blockers for delivery teams. You will operate effectively when requirements are incomplete, making evidence-based recommendations and creating clarity for customer, AWS, and partner teams.Beyond individual solutions, you will help customers address the wider conditions required for sustained value from AI, including data readiness, platform architecture, security … models, adoption, and value measurement. You will also strengthen the Data & AI practice through mentoring, technical standards, reusable assets, and feedback from customer delivery.The AWS Professional Services organisation is a global team of experts that helps customers realise their desired business outcomes using AWS. We work with customer teams ...

collaborative team made up of software engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with engineers … using Terraform, following existing module patterns while identifying opportunities to improve quality, maintainability and automation.Apply least-privilege and secure-by-default principles consistently across AWS accounts, helping ensure our infrastructure meets Trainline’s standards for security and operational excellence.Build or contribute to automation scripts and tooling using Node.js ...

/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data … interface engines (Mirth Connect, Rhapsody, or equivalent). Experience integrating with major EHR platforms (Epic, Cerner, Meditech, or similar). Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling ...

analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems … with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps ...

reliable, scalable, and production‐ready. Responsibilities Data Platform Architecture Lead the hands‐on design, coding, and evolution of DFP’s cloud‐native data architecture (AWS/GCP/Snowflake). Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT. Design and code modular … workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon ...

team made up of software engineers, DevOps engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with … following existing module patterns and working with others to ensure changes are clear, consistent and maintainable.Apply least-privilege and secure-by-default principles across AWS accounts, helping us maintain a secure and reliable platform environment.Contribute to automation scripts or tooling using Node.js or Python, supporting repeatable delivery and reducing ...

trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream … quality Python and advanced SQL skills Experience running machine learning systems in production , including model serving and monitoring Comfort working across cloud infrastructure (ideally AWS ) and an understanding of platform/DevOps principles A pragmatic, ownership-driven approach: you’re happy to dive into problems, unblock others and keep ...