26 to 50 of 63 Amazon Bedrock Jobs in the UK excluding London

Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch ...

focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science ...

enterprise data platforms would be highly valuable. Practical experience designing, building and deploying AI powered applications using platforms such as Azure AI, OpenAI, AWS Bedrock, Google Vertex AI, Anthropic or comparable technologies. Hands on experience with large language models, prompting, retrieval augmented generation, evaluation and agent orchestration. Strong understanding ...

modern software delivery practices AI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability ...

exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning concepts and their practical applications. ...

strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape ...

retrieval-augmented generation (RAG) patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage ...

production environments, and the implementation of appropriate observability and evaluation mechanisms. Practical experience with enterprise AI platforms, such as Azure AI Foundry, AWS Bedrock or Google Vertex AI. Strong understanding of LLM concepts and vector databases: context windows, temperature and sampling parameters, system prompts, tool/function calling. Experience ...

pipeline templates, component templates and TypeScript pipeline extensions Compliance: policy-as-code (OPA/Rego) for automated change-management checks Infrastructure: IaC, Kubernetes on Amazon EKS, RDS PostgreSQL and the platform's own CI/CD Writing unit tests, automated functional tests and post-deployment checks as part … STEM subject (or comparable experience) Highly Desirable Experience in several of these areas is enough: Azure DevOps YAML templates, extensions and decorators Kubernetes/Amazon EKS, AWS IAM and RDS, and IaC (CloudFormation, CDK or Terraform) Angular or React, Node.js, and Python or Bash scripting Security and identity: Snyk ...

Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data ...

regulated environments Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock) Person Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

regulated environments Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants. Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock) Person Specification Strong technical authority with the ability to influence design and operational decisions Highly collaborative, comfortable working across architecture, engineering, security ...

digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar. Platform security, privacy or governance controls for sensitive ...

built is changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However ...

engineers. Experience with RAG, tool calling, LLM orchestration and evaluation frameworks would be particularly relevant, alongside exposure to cloud AI services such as AWS Bedrock, Azure AI Foundry or Google Vertex AI. A background in TypeScript or Python would be useful, although the emphasis is on strong software engineering ...

Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content … have Experience securing generative AI or machine learning features in production. Familiarity with AI gateways and model access platforms such as LiteLLM, OpenRouter or Amazon Bedrock, alongside LLM observability tools. Relevant certifications, such as CISSP or GCP/AWS security certifications. If you enjoy combining technical depth with ...

/or Azure, including infrastructure design, automation and operational support. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, with knowledge of monitoring, governance, quality assurance and agentic workflows. Some other highly valued skills may include: Experience with OpenShift or other enterprise Kubernetes ...

Azure Practical experience designing, automating and supporting cloud infrastructure and services. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance and agentic workflows across the software delivery lifecycle. OpenShift Experience building or operating platforms using OpenShift ...

Strong hands‐on experience designing and delivering cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience ...

controls in production and balancing innovation with risk, safety and regulatory alignment. Cloud Architecture: Strong understanding of AWS cloud architecture for AI workloads (SageMaker, Bedrock, MSK, EKS). Stakeholder Communication: Excellent communication skills, with the ability to present technical decisions clearly to senior business, product or regulatory stakeholders. ...

simpler approach is the better choice. Experience with retrieval, embeddings and working with unstructured text. Hands-on experience with AWS AI services, in particular Amazon Bedrock and SageMaker. Able to lead technically and explain trade-offs to non-technical stakeholders. Desirable Background in life sciences, healthcare or market ...

architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This is a rare opportunity for someone who wants to remain technically hands-on while becoming ...

/CD pipelines for both ML and application code. Evaluate and introduce emerging AI frameworks and LLM providers, including OpenAI, Azure OpenAI, Bedrock, LangChain, and LlamaIndex. Maintain Kubernetes‐deployed AI workloads and troubleshoot inference latency, scaling, and reliability issues. Participate in the on‐call rotation and apply AI tooling … calling, RAG pipelines, and agent frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent. Familiarity with LLM providers and APIs, including Azure OpenAI, AWS Bedrock, OpenAI API, or open‐source models such as Llama and Mistral. Experience with vector databases and embedding workflows, including Chroma, Weaviate, pgvector, Azure ...