51 to 66 of 66 AWS Lambda Jobs in London

facing pilots. Cross-functional engagement Work alongside the ProfileOne Product Manager on the architectural separation between unifying layer and agentic platform. Partner with the AWS infrastructure/DevOps function on production deployment, scaling and security hardening. Represent the agentic platform in client technical discussions, internal SteerCo updates and Group … institutions. Hands-on, recent experience with at least one agentic framework — LangGraph, LangChain, AutoGen, CrewAI, or comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks ...

with the ability to ramp up quickly on the company's stack. Experience designing, building, and running production services on a major cloud platform (AWS preferred). Experience with relational databases and Infrastructure as Code. Strong collaboration and written and verbal communication skills, with the confidence to work across … logistics, mobility or operational‐domain systems. Evidence of self‐directed learning, such as personal projects or open source contributions. Technologies we use Golang AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS (PostgreSQL) React, React Native GitHub, GitHub Actions Grafana, Loki Claude Code Event‐driven architecture and domain‐driven design ...

Your new role The Director, Agentic AI Platform & Engineering owns the technical platform on which the businesses' AI agents are built and operated: the AWS-based agentic automation stack (Amazon Bedrock/AgentCore and related services). This is a hands-on engineering role reporting to the Senior Director … Head of Artificial Intelligence, and does not currently have direct reports. The role works through existing functions rather than duplicating them: Infrastructure for AWS accounts, networking, and cloud operations Security for identity, access, and data protection and Data/enterprise systems teams for Snowflake and system integrations. Key Responsibilities ...

architecture and system design experience Experience using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate Strong RDBMS knowledge Experience developing distributed, micro services-based applications. Experience with data modelling and curation for large … datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital ...

system design experience Experience of using Agentic AI coding tools - e.g. Claude Code, Co-Pilot Agent Mode, Devin Experienced with Cloud Technologies – ideally AWS – e.g. S3, SQS, Lambda, Fargate Strong RDBMS knowledge Experience developing distributed, micro services-based applications. Experience with data modelling and curation for large-scale … Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital ...

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 and Ansible. This is a backend-focused role, but you will have plenty of opportunities to work across … deliver timeline estimates Requirements: 7+ years of professional experience building backend systems Proficiency with Kotlin or Java/JVM Proficiency with PostgreSQL Experience with AWS: S3, SQS, SNS, Lambda, etc. Experience implementing and managing elaborate integrations with third-party APIs Experience working on systems that have real-world ...

/CD pipelines, structured evaluation, drift and hallucination monitoring, and controlled, auditable release processes suitable for banking environments. Cloud‐native AI platform engineering on AWS, with hands‐on delivery using services such as Amazon Bedrock for foundation models, agent orchestration patterns, Lambda and Step Functions, alongside demonstrated Python … technologies such as OpenSearch, FAISS or similar to support scalable, production‐ready retrieval workflows. Data pipeline engineering, building and operating AI‐ready pipelines using AWS Glue, S3 and related services to support model training, inference and evaluation. Advanced observability and reliability engineering, including experience with CloudWatch, OpenTelemetry and established ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc. Experience in deep neural networks and familiarity with the latest developments in related fields. Experience ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience ...

including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers. Hands‐on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost‐aware design of inference ...

providing a consistent investment data capability across the business. Requirements: Python development experience Experience building investment or market data platforms within Financial Services AWS cloud experience (Lambda, S3, serverless, integrations) Knowledge of real-time data, time-series data, and event-driven systems Experience integrating vendor platforms such ...

working in a fast‐scaling operational environment where software has a direct physical‐world impact. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event‐driven architecture ...

cloud infrastructure whilst guiding and mentoring more junior engineers in the team. Our Tech We have Python, TypeScript, and Javascript services running mostly on Lambda functions. We use Step Functions extensively to orchestrate our workflows. Our persistence layer is largely Aurora (Postgres), DynamoDB, MemoryDB (Redis), and Timestream. However … design, delivery and deployment of large scale, complex projects which are used heavily by thousands of people with high throughput. Using modern technology like AWS serverless infrastructure and events driven microservice architecture Mentoring more junior members of the team to help support their growth and development and help scale ...

lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. … supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data ...

Strong SQL skills are essential Experience working with data pipelines and data transformation Exposure to Snowflake or a similar cloud data warehouse Knowledge of AWS services such as S3 and Lambda Experience with Tableau, Power BI or similar reporting tools Python experience (or a willingness to develop these ...

supporting AI solutions. Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. Working experience in Data Lakehouse environments such ...