26 to 38 of 38 Amazon Bedrock Jobs in London

code platform experience (Power Platform) - disqualifying if absent Python proficiency for AI development AI frameworks experience (LangChain) Microsoft stack (SharePoint, Power Platform, Azure AI Foundry) Cloud AI services (Vertex, Bedrock, Azure AI) Experience leading teams and making technical decisions More ❯

code platform experience (Power Platform) - disqualifying if absent Python proficiency for AI development AI frameworks experience (LangChain) Microsoft stack (SharePoint, Power Platform, Azure AI Foundry) Cloud AI services (Vertex, Bedrock, Azure AI) Experience leading teams and making technical decisions 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 ❯

Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications. Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies. Experience in Enterprise … of Study preferred: (Not specified in original text) Certifications: (Not specified in original text) Required Skills: (Not specified in original text) Optional Skills: Accepting Feedback, Active Listening, Agile Methodology, Amazon Web Services (AWS), Analytical Thinking, Business Architecture, Business Continuity, Business Process Modeling, Business Process Workflow, Coaching and Feedback, Communication, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Application Integration, Enterprise More ❯

Python, CI/CD). Own API development, database design, and infrastructure deployment via Terraform or CloudFormation. Collaborate with data science teams to integrate AI models and APIs (AWS Bedrock, LangGraph, Azure GPT, etc.). Occasionally support lightweight front-end work (React/Python). Work in agile sprints, joining daily stand-ups and planning sessions. What we’re … CI/CD pipelines API development in Python SQL and NoSQL databases Docker containers Some familiarity (e.g. awareness and has used them before) with Generative AI tools e.g. AWS Bedrock, Strands, LangGraph, Azure GPT Why join You’ll be at the heart of a growing innovation hub, delivering real GenAI solutions that push boundaries and shape how AI is More ❯

the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business cases, ROI models, and adoption … Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep understanding of GDPR/UK More ❯

the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business cases, ROI models, and adoption … Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep understanding of GDPR/UK More ❯