76 to 100 of 173 Amazon Bedrock Jobs in the UK

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 ...

compliant implementation. Required Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams ...

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 ...

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

balance technical depth with speed and business impact. You’ll really thrive in this role if you have: Proven experience with AWS, including SageMaker, Bedrock, Lambda, S3, and Redshift. Familiarity with MLOps best practices: evaluation, deployment, monitoring, and iterative improvement. Experience in Adtec, Media, or fraud detection. Hands ...

Experience leading machine learning engineering or development teams. Experience with LLMs and agentic AI systems, including relevant frameworks (e.g., Agents SDK, Anthropic SDK, AWS Bedrock, LangGraph, CrewAI). Experience with cloud platforms (AWS, Azure, GCP) or ML platforms (e.g., Databricks). Exposure to fraud detection, anti‐money laundering, anomaly ...

with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.Hands-on experience with agentic frameworks (LangChain, LangGraph).Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment banking operations.Join us to help shape the future of Market Operations through innovative ...

equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore high‐impact opportunities. Own the full lifecycle: problem framing, data discovery, feature ...

convention, and bring new thinking to complex engineering problems. Some other highly valued skills may include: Proficiency in Python and Java. Familiarity with AWS Bedrock and associated AI/ML services. Ability to solve multi‐layered, ambiguous problems with minimal support. Strong engineering judgement, with a focus on secure ...

open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others Employer Description ...

related field, or equivalent industry experienceNice to Have: Experience founding or scaling an FDE/solutions engineering function. Technical founder background. Databricks, AWS Bedrock, or Temporal experience. Deep domain knowledge in healthcare, financial services, or government. Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).Proficiency in German ...

settings.Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.Behavioural CompetenciesStrong ownership and accountability for delivery outcomes.Clear, confident communication with both technical ...

open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing othersEmployer DescriptionJPMorganChase, one of the oldest ...

solutions and the design patterns typically used.Understanding of the key features and capabilities of cloud-based AI platforms (e.g. Azure AI/OpenAI, AWS Bedrock, GCP Vertex AI) and modern data platforms (Databricks, Snowflake).Knowledge of the considerations to take when deploying AI solution in a regulated environment.A clear ...

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 ...

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 ...

handling Experience with APIs, messaging, microservices, and event‐driven architectures Hands‐on experience with LangChain, LangGraph, LangSmith, and AI‐powered workflows Familiarity with AWS Bedrock, AWS AgentCore, serverless, and container deployments (preferred) Ability to evaluate technologies independently and influence engineering standards Strong stakeholder management and mentoring skills This ...

driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative AI and machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English ...

compute, networking, storage, and managed AI services; ability to design for scale and costLangChain/LangGraph — Production experience building agentic and orchestration-based systemsAWS Bedrock — Experience selecting and working with foundation models for real enterprise use casesKubernetes — Ability to design and govern production workloads; familiarity with Helm and resource ...

central AI team standards* Evidence of presenting complex technical concepts to business stakeholders with varying technical backgroundsDesired* 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 with React. Evidence of building ...

complex technical concepts to non-technical stakeholders and senior leadership, translating AI capabilities into business language. Desired* AWS experience including AI services such as Bedrock and the Serverless ecosystem.* Proficiency in front-end technologies, particularly with React. Evidence of building intuitive, responsive user interfaces that integrate seamlessly with ...

with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise AI systems ...

. Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive ...

communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience: retrieval systems, embeddings, or enterprise knowledge ...

communicate effectively with both technical and senior stakeholders Ability to lead execution using Agentic Software Engineering tools Preferred Experience Experience with AWS and Bedrock Experience with Kubernetes, CI or CD, infrastructure as code, and automation tools Familiarity with AI or ML platforms such as Databricks, SageMaker, or MLflow Exposure ...