11 of 11 Amazon Bedrock Jobs in Central London

datasets and accelerate experimentation and insights. Key Responsibilities * Architect and deliver a cloud-native research platform on AWS * Design environments supporting Jupyter Notebooks and Amazon SageMaker * Integrate Amazon Bedrock and emerging AI services to enhance research workflows * Build scalable data access and connectivity frameworks for structured … building data science platforms or research environments * Strong grounding in data engineering principles (pipelines, governance, data access) * Experience integrating AI/ML services, including Amazon Bedrock * Ability to design and expose APIs/services for data and notebook interoperability * Experience working in enterprise or regulated environments Nice ...

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 ...

likely extension) Responsibilities : As a Cybersecurity Specialist, you will be responsible for bringing hands on experience with leading AI technologies and platforms, primarily AWS Bedrock, Azure OpenAI, Microsoft 365 and other foundation model providers, to help teams adopt these capabilities securely and effectively. Provide guidance on model security, deployment … Encryption is required. Expert proficiency in Secure AI is recommended.2.Master proficiency in Microsoft Azure Active Directory Security, along with intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry, is suggested. You are expected to be a subject matter expert , collaborate and manage the team ...

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 ...

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 ...

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 ...

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/ ...

Generative AI. Our client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails … foundation models across AWS Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management ...