1 to 25 of 29 Remote Amazon Bedrock Jobs in the UK

. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯

reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯

world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯

world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯

world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯

world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯

Doing Designing secure, scalable APIs in Python/FastAPI Building and optimising Retrieval-Augmented Generation (RAG) pipelines Owning vector databases (pgvector, Weaviate, FAISS) and embedding strategies Integrating OpenAI/Bedrock models and developing guardrails & evaluation flows Ingesting and structuring data for high-performance retrieval and analytics Building clean, fast UIs with React/Next.js Shaping cloud architecture ( AWS, Docker More ❯

ideal but not essential; this is a role for a builder first, leader second . Tech Snapshot Languages: Python 3.11+, TypeScript Frameworks: FastAPI, SQLAlchemy, Alembic Infrastructure: AWS (IAM, SES, Bedrock) Architecture: Event-driven, API-first, AI-integrated pipelines Databases: PostgreSQL Why This Role Step up from Senior Engineer to Lead Engineer in a venture-backed AI startup. Shape the More ❯

ideal but not essential; this is a role for a builder first, leader second . Tech Snapshot Languages: Python 3.11+, TypeScript Frameworks: FastAPI, SQLAlchemy, Alembic Infrastructure: AWS (IAM, SES, Bedrock) Architecture: Event-driven, API-first, AI-integrated pipelines Databases: PostgreSQL Why This Role Step up from Senior Engineer to Lead Engineer in a venture-backed AI startup. Shape the More ❯

model training, deployment, and monitoring Developing scalable pipelines and APIs for AI services using AWS-native infrastructure (e.g. Lambda, ECS/EKS, S3, API Gateway, Step Functions, SageMaker/Bedrock) Building and maintaining TypeScript-based services and UIs that integrate with Python AI backends and compliance tooling Embedding guardrails, monitoring, and logging into AI systems to support transparency, explainability … to TypeScript codebases (e.g. Node.js backends, React frontends, or internal tools) Hands-on exposure to AWS (e.g. EC2, S3, IAM; bonus points for Lambda, ECS/EKS, SageMaker, or Bedrock) Familiarity with LLM frameworks and tooling (e.g. LangChain, vector databases, RAG pipelines) is highly advantageous Genuine interest in AI compliance, governance, and emerging regulation (e.g. EU AI Act, model More ❯

model training, deployment, and monitoring Developing scalable pipelines and APIs for AI services using AWS-native infrastructure (e.g. Lambda, ECS/EKS, S3, API Gateway, Step Functions, SageMaker/Bedrock) Building and maintaining TypeScript-based services and UIs that integrate with Python AI backends and compliance tooling Embedding guardrails, monitoring, and logging into AI systems to support transparency, explainability … to TypeScript codebases (e.g. Node.js backends, React frontends, or internal tools) Hands-on exposure to AWS (e.g. EC2, S3, IAM; bonus points for Lambda, ECS/EKS, SageMaker, or Bedrock) Familiarity with LLM frameworks and tooling (e.g. LangChain, vector databases, RAG pipelines) is highly advantageous Genuine interest in AI compliance, governance, and emerging regulation (e.g. EU AI Act, model More ❯

SQS, Lambda) Backend: Node.js, TypeScript Frontend: Angular, transitioning to React + Tailwind + tRPC Databases: PostgreSQL (Aurora Serverless V2), DocumentDB, DynamoDB, Redis AI & Data: LangChain, AI-SDK, Clickhouse, AWS Bedrock, AWS Glue, AWS Athena Why Join? Join a high-calibre engineering leadership team shaping the company’s future. Work on innovative AI-driven systems that push product boundaries. Enjoy More ❯

/Army/Navy) or 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, and accreditation workflows. Why this is More ❯

/Army/Navy) or 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, and accreditation workflows. Why this is More ❯

our experienced technology team who have built and developed an innovative product which utilises a range of AWS services, including Lambda, SQS, Step Functions (Express & Standard), API Gateway, DynamoDB, Bedrock, and SageMaker. Responsibilities: Support API Development: Collaborate with the team to research and contribute to the design documentation of APIs, assisting in understanding requirements and potential solutions for robust … to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee and snacks in the office Team socials Inclusive working environment, supporting all genders, sexualities, race, disability or background Join our dynamic team at Revenir and More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯

to spend your time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain , PyTorch , and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker , or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. … Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how to take models from concept to production. A collaborative mindset - you More ❯