20 of 20 AWS Lambda Jobs in Central London

Engineer Required Technical Skills AWS & Generative AI: - AWS Bedrock experience (model selection, deployment, prompt engineering) - Agentic workflow experience ideally based on AWS AgentCore - Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar) - Large Language Model (LLM) integration and fine-tuning - Experience with Claude … chunking strategies MCP & Tool Integration: - Model Context Protocol (MCP) implementation - Tool calling and function integration with LLMs - API design for LLM tool interfaces - AWS Lambda integration with agents AI Safety & Evaluation: - Guardrail implementation (hallucination detection, toxicity filtering) - Response evaluation framework design - A/B testing for AI systems ...

This is your chance to join early, build something that matters, and win big. 🧑🏻‍💻 Our Current Tech Infrastructure : Python 3.11+, FastAPI, React/TypeScript, AWS (Lambda, ECS, Bedrock, SageMaker), PostgreSQL + Qdrant, Redis, Docker, Kubernetes, GitHub Actions, Terraform Vector Search : Pinecone, pgvector, hybrid retrieval (dense + sparse + … production ML/LLM systems Experience deploying and monitoring LLMs at scale Deep understanding of prompt engineering, RAG architectures, and LLM evaluation Comfortable with AWS/GCP services (Lambda, Bedrock, SageMaker) and cloud infrastructure Very comfortable with PostgreSQL/Qdrant and vector databases Experience building scalable systems (APIs ...

delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning … products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability ...

Room Database, secure keychain/keystore AI Integration : Real-time transcription, LLM-powered document generation, offline ML models Backend Integration : Ruby/Python API, AWS (Lambda, S3, RDS), PostgreSQL, Redis, real-time sync DevOps : GitHub Actions, Fastlane, TestFlight/Google Play beta distribution, Firebase (Analytics, Crashlytics), feature flags ...

passionate about automation, observability, and designing systems that just don’t fail , this is the perfect environment for you. Tech Stack Cloud: AWS (EC2, RDS, S3, IAM, Lambda, CloudWatch) Containerisation & Orchestration: Docker, Kubernetes (EKS) Infrastructure as Code: Terraform Configuration Management: Ansible Monitoring & Observability: Prometheus, Grafana, ELK Stack … Championing SRE principles such as error budgets, SLIs/SLOs, and automation-first thinking. What We’re Looking For Strong experience running cloud infrastructure (AWS preferred) in production. Proven background in Kubernetes operations (EKS, Helm, or similar). Solid knowledge of monitoring, alerting, and logging (Grafana, Prometheus, ELK). ...

just about coding, its about influencing product and business impact Desired Skills & Experience Fullstack JavaScript/TypeScript/Node.js software engineering experience SASS, DynamoDB, AWS Lambda, and Serverless Framework are all beneficial eCommerce/Shopify experience is a bonus ...

banking ecosystem. We are looking for a Full Stack Engineer with strong experience in React Native for mobile/front-end development and AWS-based backend systems . The ideal candidate has hands-on experience building scalable, event-driven applications using modern backend frameworks and cloud-native services. … experience leading engineering teams and delivering complex digital or financial platforms. Deeply skilled in software design and architecture, ideally across cloud-native environments (AWS preferred). Proficient in modern development frameworks, such as Java, Python, or Node.js , and familiar with microservices, APIs, and event-driven architectures. Experienced in cloud ...

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 ...

results, and iterate rapidly. Transition validated experiments into production-ready solutions, collaborating with engineers on deployment and monitoring. Build and optimise ML pipelines using AWS services and experiment tracking tools. Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring. Implement robust experiment tracking, model versioning … Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation. Proven track ...

tickets, and BAU activities in line with company standards Required Skills & Technologies Programming & APIs Strong proficiency in Python Experience developing and consuming RESTful APIs AWS & Cloud Technologies Hands-on experience with: CloudWatch EC2 Step Functions Lambda DynamoDB Athena S3 SNS & SQS Event Bridge CloudFormation Infrastructure as Code using ...

Machine Learning Engineers to design and deploy ML models for national security applications. You'll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers to build greenfield solutions. What You'll Do: Build and optimise Machine Learning pipelines … with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding ...

Developer - Media - Remote - Outside IR35 AI Orchestration with AWS Bedrock Design and implement Python-based services integrating with AWS Bedrock APIs. Utilise Foundation Models for automated video tagging, scene summarisation, and metadata enrichment. Scalable, Containerised Backend Build and maintain backend logic deployed on Amazon ECS (Fargate). Ensure … services run efficiently in a fully containerised, scalable environment. Serverless Media Pipelines Architect event-driven workflows using AWS Lambda. Handle video upload triggers, thumbnail generation, and asynchronous post-processing tasks. High-Performance Data Storage Model and manage detailed video metadata and AI-generated insights. Leverage Amazon DynamoDB for fast ...

scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly AWS, for training and deploying models. Ability to communicate complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable … Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced AI methods to real-world problems. Benefits: Competitive salary up to £65,000 plus ...

Data Engineer Python | AWS | Accounting Data | Insurance | London A leading insurance firm is seeking a Data Engineer to join a newly formed Data squad responsible for building a greenfield data platform. This Data Engineer will work closely with internal Accounting and Finance stakeholders, supporting business-critical reporting and regulated … Location: London Data Engineer Responsibilities Design, build, and maintain robust data pipelines from the ground up Develop and optimise ETL workflows using Python and AWS Work closely with Accounting and Finance teams on month-end, IBNR, and financial reporting data Ensure data quality, accuracy, and reliability across critical reporting ...

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 ...

risks effectively. Their platform offers software solutions that support enterprise risk management, compliance management, health and safety, and incident reporting. Stack: React, Node, Nextjs, AWS Responsibilites: Develop and maintain responsive web applications using React and Next.js for frontend development. Write scalable, reusable, and efficient TypeScript code for both frontend … manage APIs with Node.js to handle server-side logic and integrate with databases and external services. Design, implement, and deploy cloud-based applications on AWS, including services like EC2, Lambda, and S3. Collaborate with design and product teams to translate user needs into functional, high-performance features. Please ...

experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps/ML engineering experience (Docker ...

validate approaches. Transition experimental models into production-ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling. Implement robust versioning, experiment tracking, and reproducibility practices. Mentor junior engineers and contribute to team-wide AI knowledge … engineering or data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production ...

insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability ...

SeniorFullStackEngineerTypescript,C#,AWS,IAM,Security OutstandingopportunitytojointhisglobalB2BSaaSleaderasaSeniorFullStackEngineerwithsomesecurityandIAMexposurerequiredtodevelopAPIstoconnecttheirIAMsolutiontotheircoreapplications.ThispermanentroleoffersthechancetoshapehowfullstackapplicationsembraceZeroTrustauthenticationandauthorizationservicesinacutting-edge,AI-drivenenvironment. AbouttheRole: Buildfull-stackAPIsandintegrationsinTypeScript,C#,AWSIAM Deliversecurelogin,SSO,MFA,RBAC/ABAC,andtenantisolationatscale,leveragingAWSservices(Lambda,IAM,CloudFront,APIGateway,CDK) CollaborateacrossProduct,Security,andEngineeringteams,embedidentityintonewfeatures,andupholdengineeringexcellencethroughCI/CD,testing,andincidentresponse Requiredexperience: Strongfull-stackdevelopmentskills(TypeScript,C#,AWS) Anin-depthsecuritymindsetwithanunderstandingofZeroTrust&OAuth2 ProvenexperiencewithOIDC-compliantIDPs … Auth0,Okta,Cognito) SolidAWSexpertise(IAM,Lambda,APIGateway,CDK) AprovenbackgroundinbuildingRESTfulAPIsthatinteractwithIDPs Security-firstmindsetwithexperienceinsecurecoding,threatmodelling,andprotectingPII Abilitytomentor,collaborate,andleadwithhands-onproblem-solving £85k-£90k+bonus+benefits.95%remote&London ...