1 to 25 of 27 AWS Lambda Jobs in Central London

Senior C# Engineer .NET 9/10, AWS Lambda, SQS, SNS OUTSIDE IR35 £700£800 per day Outside IR35 100% Remote 11 month rolling contract Takeaway: Contribute to the architecture and build of a major greenfield B2B SaaS platform as a deeply senior, hands-on C# engineer, with … heavy emphasis on deep .NET engineering , high-performance distributed systems , and real-world AWS serverless delivery . Youll also have the opportunity to develop hands-on skills with Claude Code , one of the most advanced AI-assisted development tools in the industry. Role Overview: Youll operate as the technical ...

Senior C# Engineer .NET 9/10, AWS Lambda, SQS, SNS OUTSIDE IR35 £700£800 per day Outside IR35 100% Remote 11 month rolling contract Takeaway: Contribute to the architecture and build of a major greenfield B2B SaaS platform as a deeply senior, hands-on C# engineer, with ...

Senior C# IAM Developer - Auth0, Identity & Access Control, AWS OUTSIDE IR35 Contract: 8 months Rate: £700 - £750 OUTSIDE IR35 Location: 100% remote The Role: Working for a global, market leading B2B SaaS business, youll lead the design and implementation of secure, identity-driven backend services in a modern C# … hooks, rules, MFA, RBAC Design and maintain token-based security models (OIDC, OAuth2, JWT lifecycle, refresh strategies) Build secure event-driven and serverless components ( AWS Lambda, SNS/SQS, EventBridge ) Lead secure coding practices, code reviews, and threat modelling sessions Work closely with product and platform teams ...

Design, develop, and maintain scalable RESTful APIs and microservices using Python frameworks such as FastAPI or Flask. Build and support cloud-native solutions leveraging AWS services including Lambda, ECS Fargate, API Gateway, DynamoDB, S3, Secrets Manager, and CloudWatch. Work closely with the Lead React Engineer, Technical Architects … experience with Python using FastAPI, Flask, or similar backend frameworks. Extensive experience developing RESTful APIs, microservices, and backend services. Strong hands‐on experience with AWS cloud services, including ECS Fargate, Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Step Functions, IAM, Secrets Manager, and CloudWatch. Strong experience with ...

will work with appropriate engineers and service teams to see issues through to resolution. More importantly you will work proactively as part of the AWS Unified Operations (UOps) delivery model to help craft and execute strategies to drive our customers' adoption and use of AWS services, including … DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, regulatory requirements, support and risk management. You will operate ...

such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or Google Cloud Professional DevOps Engineer, or similar credentials Do You Have What It Takes? 3-6 years of hands … programming language such as Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools ...

looking for a skilled AWS Cloud & Python Engineer to bridge the gap between application development and cloud infrastructure for a technically led & growing UK-based company. You'll own the full lifecycle of data transformation applications, from writing clean, efficient Python code to designing the AWS architecture that … afield - we can talk about this. Job title: Cloud Engineer. You are likely to come from a Python Developer background who has gone into AWS Devops, or an AWS DevOps background, with strong coding skill in Python. There is a lot of data in this role ...

product team and engage customers to understand the problems worth solving, bringing that perspective back into how you design and build. Work with AWS managed services including ECS/Fargate, Lambda, SQS, DynamoDB, and DocumentDB to build and evolve a scalable, event-driven architecture that performs under real … believe in using the right tool for the job. Our current stack includes: Backend: TypeScript, Node.js, C#, .NET Frontend: TypeScript, React Cloud & Infrastructure: AWS (ECS, Lambda, SQS, DocumentDB, DynamoDB), Terraform, SST (Infrastructure as Code) Architecture: Microservices, Microfrontends, Event-driven architecture What You Need to Be Successful A strong ...

architectures in your head at once and reason through their edge cases, data flows, and coupling points. Nice-to-Haves Hands-on experience with AWS Lambda, SQS, SNS, and RDS. Comfort operating alongside an in-house AI-agent orchestrator that supports and automates parts of our SDLC. ...

Platform Engineer (AWS IaC) London/WFH to £75k Are you an infrastructure technologist with strong AWS and Terraform experience? You could be progressing your career at a scaling technology company that specialises in renewable energy storage and trading. As a Platform Engineer you'll design, build … optimise the AWS infrastructure, working closely with software engineering teams to deliver scalable, secure and cost effective cloud solutions. This is a hands-on role with plenty of ownership. You'll take the lead on infrastructure projects, shape architectural decisions, automate and improve ways of working and ensure ...

eligible to work and reside in the UK About the Role You will spend the majority of your time in code and in the AWS console: building contact flows and AI agents, writing Lambda functions and CDK stacks, developing React-based agent and admin tooling, and debugging production … right fit, including multilingual support and SSML-tuned voice interactions Amazon Connect Platform Engineering Build contact flows that integrate AI agents, Lambda-backed business logic, Customer Profiles, and dynamic data-driven routing Implement Amazon Connect Cases and Tasks solutions: case templates, queue-based work allocation, SLA/TAT monitoring ...

company's credit decisioning platform. Key responsibilities include: Designing, building and maintaining production data pipelines across the lending lifecycle Developing, deploying and maintaining AWS Lambda-based decisioning processes Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions Managing APIs and data integrations across … engineering hire within a small, ambitious team where you will have genuine ownership and visibility across the business. YOUR SKILLS AND EXPERIENCE: Python development AWS services including Lambda, EC2, CloudWatch and RDS SQL and database development, ideally with PostgreSQL Building, deploying and maintaining end-to-end production pipelines ...

government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative … governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning ...

alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices on AWS to build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including … applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations, and iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. ...

models. You own everything that gets those models in front of a customer and keeps them running: the training and deployment infrastructure on AWS and SageMaker, reproducible and configuration-driven training runs, environments defined in code, release pipelines that make a deployment routine rather than an event … deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible ...

full project lifecycle, you'll collaborate with stakeholders, development teams and customers to define architecture, shape technical strategy and ensure successful delivery of modern AWS-based solutions. What You'll Be Doing - Designing scalable, cloud-native architectures on AWS. - Working with customers and internal teams to understand business … development environments. - Mentoring technical teams and embedding AI-driven best practices across the software development lifecycle. Essential Experience - Technical Architecture experience delivering complex AWS-based software solutions. - Strong understanding of cloud infrastructure and modern software architecture patterns. - Media industry experience, ideally within broadcasting, media supply chains, OTT, VoD, content ...

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 ...

/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 ...

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 ...

Engaging with users to define requirements, scope AI use cases and develop realistic delivery plans Supporting the design, development and deployment of models within AWS cloud environments Contributing to written proposals and bid responses, including research into relevant academic and industry literature Presenting technical findings and insights to internal … Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly AWS Ability to communicate complex ideas clearly to both technical and non-technical audiences Commitment to high-quality, ethical and robust scientific work Awareness ...

Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. ...

Puppet, Salt Stack. Experience of supporting production VMware environments. Experience of Symantec Veritas Clustering Production Support. Experience to performing diagnostic and troubleshooting of the AWS Product set such as EC2, Lambda, EKS, ECR, WorkSpaces, EBS, EFS, S3, RDS MSSQL, Route 53, VPC, CloudFormation, AWS Connect Direct. Ability ...

through applying strong CS fundamentals and first principles thinking, creatively using the right data structures & algorithms to solve problems 90/10. Familiarity with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn. We don’t enforce any particular experience level … stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD. Our stack is in a great place ...

SENSITIVE classification What you'll bring A track record as a solution/technical architect on AI projects sitting inside bigger strategic programmes Solid AWS experience - S3, Lambda, EventBridge, SNS/SQS Comfortable working across TOGAF, ArchiMate, C4, UML and BPMN Hands-on with MLOps tooling and platforms ...

being the subject matter expert for providing system administration and support. You will need to have particular experience in designing, deploying and managing AWS environments. As one of the first employees of the company it will be important to show high level of initiative and responsibility in order … previous experience as IT Engineer or in a similar role Proficiency with Amazon Web Services, both server-based and serverless services, including EC2, Lightsail, Lambda, S3, RDS, DynamoDB, Redshift, VPC etc. Great understanding of how different cloud components work together and knowledge of latest advancements in the cloud Proven ...