17 of 17 Permanent Amazon Bedrock Jobs in London

pipelines, and custom model fine-tuning. Working closely with architects and data teams, you will turn conceptual designs into robust, production-grade software using Amazon Bedrock and modern Python frameworks. Key Responsibilities · Agent Development: Build and deploy sophisticated AI agents using Python, LangChain, and LangGraph. Implement tool calling … calling), memory persistence, and error-handling logic for robust autonomous execution. · RAG Implementation: Develop high-performance retrieval pipelines. Optimise chunking strategies, embedding generation (using Amazon Titan or similar), and vector search retrieval in Amazon OpenSearch. · Model Fine-Tuning: Execute fine-tuning jobs on Amazon SageMaker, preparing training ...

Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring ...

Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures, and API integrations Proficiency in Python, MLOps, LLMOps, CI/CD pipelines ...

workloads across one or more CSPs or third-party vendor technologies, including Google PaLM and Vertex AI, Azure OpenAI Services and AzureML, AWS Bedrock and Sagemaker, Dataiku, Databricks, Snowflake SnowPark and Snowflake Cortex, Data Robot. Experience in architecting scalable, performant & cost optimized AI/ML solutions leveraging; serverless technologies ...

across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high-performance, and cost-optimised AI and ML solutions using ...

using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production ...

SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL. Business ...

Generative AI solutions using LLMs, RAG pipelines, prompt engineering and frameworks such as LangChain • Design scalable AI systems using Azure OpenAI, OpenAI API, Claude, Bedrock or Vertex AI • Lead the architecture of secure, production-ready solutions across cloud and distributed environments • Act as a trusted technical advisor to clients ...

years in AI/ML engineering, shipping models in production • 3+ years in a Staff-level or senior technical leadership role • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI • Strong Python; Java or Rust a bonus • Experience with LLMs, evaluation frameworks, and agentic AI patterns • Docker … Terraform, CI/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary ...

PySpark Working knowledge with enterprise architecture frameworks (e.g., TOGAF), MLOps, and BI tools like Power BI and QuickSight Experience of generative AI platforms (e.g., Amazon Bedrock, Anthropic) Familiarity with infrastructure as code (Terraform), CI/CD practices (Jenkins, GitHub Actions), and observability (Grafana, Kibana) Proficiency in scripting ...

logs and traces from a live AI product • Develop and maintain Python microservices, AWS Lambda functions, Python packages and REST APIs interacting with AWS Bedrock, OpenSearch, Kendra, DynamoDB, and other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows. • Work with DevOps engineers ...

these together with real production rigour. You'll need Strong backend engineering fundamentals (Python and/or TypeScript/Node) AWS hands-on experience: Bedrock, Secrets Manager, Lambda Production LLM/AI integration experience: evals, prompt engineering, handling unpredictable model behaviour REST API fluency: you've integrated messy third ...

delivery in defence, aerospace, or government . C#/.NET , Python/Django , Material-UI , Vite , PostgreSQL tuning. GenAI/LLM experience (e.g., AWS Bedrock , prompts/guardrails, retrieval). Integrations with hardware/peripherals (kiosks, scanners, IoT). Knowledge of secure networked environments , identity/access control ...

performance and security optimisation being one of key aspects in making decisions). Finding opportunities for improvement and innovation across the stack (employing AWS Bedrock, automation opportunities, serverless optimisation). Our software and data stack is: Python & JavaScript web application, deployed using CI/CD based on gitHub actions. ...

automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered systems via AWS Bedrock (including Claude integration) Build RAG pipelines combining structured and unstructured data Develop evaluation frameworks for accuracy, bias, and robustness Apply best practices in feature … processes Design human-in-the-loop feedback systems to improve performance ☁️ AWS ML Infrastructure Deploy and manage models using SageMaker (training, endpoints, pipelines) Leverage Bedrock for foundation model access Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement CI/ ...

maintain Python microservices, serverless functions (AWS Lambda), backend APIs and Python packages Build LLM‐powered agents, orchestration flows and MCP servers using AWS Bedrock Analyse logs, traces and evaluation outputs from a live AI product environment Design and maintain REST APIs interacting with AWS services including OpenSearch, DynamoDB, Kendra … design Strong knowledge of AWS serverless stack: Lambda, Step Functions, API Gateway, DynamoDB, OpenSearch, Kendra, S3, IAM, CloudWatch Experience integrating with LLMs (preferably AWS Bedrock), prompt workflows or vector databases Experience working with CI/CD pipelines (GitHub Actions/Jenkins) Understanding of event‐driven architecture and serverless design ...

Build intelligent document processing workflows leveraging AWS Textract , Comprehend , and extraction pipelines. Implement GenAI automation patterns including RAG , summarisation, classification, and routing using AWS Bedrock . Build monitoring and automation insight dashboards using AWS QuickSight . Write clean, modular Python code for APIs, microservices, automation logic, and integrations. Required … cloud development experience. Advanced Python development Experience with AWS agentic automation (Q, AgentCore, LangChain/LangGraph/CrewAI). Experience in AWS Bedrock ...