26 to 50 of 71 Amazon Bedrock Jobs in the UK

Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed ...

with machine learning frameworks and data science packages (e.g., PyTorch, TensorFlow, Scikit-Learn, NumPy, Pandas, SciPy, statsmodels). Experience deploying to AWS (e.g., SageMaker, Bedrock) and operating production workloads with attention to cost, performance, security, and scaling. Experience integrating human-in-the-loop or user feedback signals into iterative ...

Skills * Strong Python development experience.* Experience building applications using Large Language Models (LLMs), delivering AI solutions within regulated environments.* Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch.* Experience with prompt engineering and LLM evaluation.* Strong stakeholder management and communication skills. Why Join? * Work on enterprise-scale ...

technical teams in a consulting or professional services setti ng Desirable Experie nceFamiliarity with specific cloud-native AI services such as Azure OpenAI, AWS Bedrock, or Google Gem iniKnowledge of prompt engineering, prompt chaining, and model fine-tuning techniq uesExperience with multi-agent orchestration and advanced vector search implementati ...

cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability ...

cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability ...

Vision. Excellent Python development skills with frameworks such as pandas, scikit-learn, TensorFlow or PyTorch, and LangChain. Experience with cloud AI services including AWS Bedrock, Azure Machine Learning, or Google Cloud AI Platform. Good understanding of data engineering, model deployment, and MLOps best practices. Experience with Git-based development ...

Strands, Google ADK, LangGraph, OpenAI Agents SDK). Desirable Skills: Interest in or exposure to risk management or AI governance concepts. Exposure to AWS Bedrock and/or Azure Foundry through projects, coursework, or on-the-job experience. Basic familiarity with Infrastructure as Code (IaC) concepts and tools ...

roadmaps, governance forums and technical standards. Partnering with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering ...

roadmaps, governance forums and technical standards. Partnering with senior engineers, value streams, and product stakeholders. What you'll bring Expertise in Azure AI, AWS Bedrock or Google Vertex. Strong experience with LLM evaluation/MES frameworks. Deep knowledge of integration security, API design and cloud-native patterns. Experience delivering ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions ...

enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data ...

platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands-on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to communicate on a Business and Technical level bringing solutions ...

cost management, token efficiency and responsible consumption of generative AI services. Support analysis across AI platforms and providers such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks and Snowflake AI services where relevant. Provide insight into emerging AI pricing models and token-based cost structures ...

have: Experience developing or scaling a FinOps, AI economics or technology value management capability. Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake. Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries ...

/ML tooling – scikit, TensorFlow, hugging face, pytorch Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data Robot, Sagemaker, Bedrock, Weights and Biases. Oauth/JWTs Two-stage remote interview process with capacity to start ASAP. ...

Speech models into end-user solutions. Experience with vector databases such as Pinecone, Weaviate, Chroma, PGVector (or similar). Production deployment experience with AWS Bedrock, Azure Foundry, or Google Vertex AI. The Perks Competitive salary Flexible annual leave (buy/sell and carry forward) Twice-a-year income ...

technical and non-technical stakeholders, grounding explanations in business value and real-world risk. Understanding of cloud-native AI services (e.g., Azure OpenAI, AWS Bedrock, Google Gemini) and how they integrate with enterprise services, security patterns and APIs. Ability to design an end to end solution that is cost ...

availability, and security in a regulated environment. Expertise in modern managed AWS platform components – we use Fargate, Lambda, Aurora Postgres, DynamoDB, SageMaker, CloudWatch, and Bedrock, primarily in Go with Python, C, and TypeScript. Strong grounding in modern CI/CD practices (we use GitHub Actions), containers, and distributed systems. ...

controls covering security, compliance, model risk, change management and audit, rather than treating governance as an obstacle.Desired* AWS experience, including AI services such as Bedrock and the Serverless ecosystem, with the ability to work within established cloud frameworks.* Proficiency in front-end technologies, particularly React, with evidence of building ...

user adoption Key Details • Salary: £95,000–£130,000 + stock options • Working: Fully remote UK (4–6 company meetups annually) • Tech: AWS, Bedrock, LLMs, React, Ruby on Rails, Node.js • Sponsorship: Visa transfer only Interested? Please apply below. ...

typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus ...

Databricks) Experience with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) Familiarity with modern AI ecosystems (e.g., Microsoft AI Foundry, AWS Bedrock, Google Vertex, agentic AI) Proven ability to design and deliver complex, client-facing solutions Excellent communication skills, with the ability to engage technical ...

latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves … systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks Familiarity with graph databases such as Neo4j or Amazon Neptune Experience with recommendation systems, personalisation pipelines or ranking systems Experience building modern web applications using Django, FastAPI, React, or similar frameworks Comfortable using Docker ...