19 of 19 Amazon Bedrock Jobs in the North of England

engineering practices. Ability to work in a fast-moving environment where technologies and best practices are continually evolving. Desirable Experience with other AI platforms (Bedrock) IaC (Terraform/Bicep) for building AI platforms Experience building AI agents or agentic workflows. Knowledge of RAG, embeddings and vector databases/search. ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience ...

Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

/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 ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications ...

TypeScript, Python Frontend: React, TypeScript Cloud: AWS (Lambda, EC2, ECS Fargate, Aurora PostgreSQL/MySQL, S3, SQS/SNS), Vercel AI Infrastructure: AWS Bedrock, Langfuse, Vercel AI Gateway Infrastructure: Terraform, GitHub Actions Data: Large-scale PostgreSQL, ClickHouse, Turbopuffer Agent tooling: Claude Code, Cursor, Linear, Codex, Sentry, Grafana Cloud, CodeRabbit ...

practices. Explore and implement AI-powered features where they provide genuine value to customers. Work with technologies such as OpenAI, Anthropic Claude and AWS Bedrock where appropriate. Help establish good practices around AI-assisted development across the engineering team. Contribute to technical design decisions and help shape the future ...

including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release ...

creating technical documentation and delivering trainingPreferred Skills: Understanding of AI security threats and mitigationExpertise in AI/ML cloud services e.g. Azure OpenAI, AWS Bedrock or Google Cloud AI.Knowledge of core ML concepts e.g. anomaly detectionFamiliarity with technical support environments, SaaS platforms, or complex data systemsExperience working with monitoring ...

present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices ...

expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

engagements and mentoring peers. You will build platform engineering, set engineering standards, and contribute to cost-conscious, scalable cloud solutions using GitOps, AWS Bedrock, and modern tooling. #J-18808-Ljbffr ...

/SLOs, dashboards, alerting, and MS Teams integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud … with automated remediation integrated via CSPM tools (e.g., Wiz). Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work ...

CreateFuture’s engineers and client workloads to multiple LLM providers — from the inference control plane (the API gateway and routing layer for Anthropic, AWS Bedrock, OpenAI, and others) through to the orchestration and lifecycle tooling that turns individual AI integrations into a reusable 'capability marketplace', and the trust, safety … doing: Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including the failover and routing strategies you may need to defend in an incident. Design and build orchestration and lifecycle management for AI capabilities ...

CreateFuture’s engineers and client workloads to multiple LLM providers — from the inference control plane (the API gateway and routing layer for Anthropic, AWS Bedrock, OpenAI, and others) through to the orchestration and lifecycle tooling that turns individual AI integrations into a reusable 'capability marketplace', and the trust, safety … doing: Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including the failover and routing strategies you may need to defend in an incident. Design and build orchestration and lifecycle management for AI capabilities ...