1 to 25 of 63 Amazon Bedrock Jobs in the UK

pipelines, and custom model fine-tuning. Working closely with architects and data teams, you will turn conceptual designs into robust, production-grade software using Amazon Bedrock and modern Python frameworks. Key Responsibilities · Agent Development: Build and deploy sophisticated AI agents using Python, LangChain, and LangGraph. Implement tool calling … calling), memory persistence, and error-handling logic for robust autonomous execution. · RAG Implementation: Develop high-performance retrieval pipelines. Optimise chunking strategies, embedding generation (using Amazon Titan or similar), and vector search retrieval in Amazon OpenSearch. · Model Fine-Tuning: Execute fine-tuning jobs on Amazon SageMaker, preparing training ...

databases (Pinecone, Weaviate, FAISS , Qudrant) Agentic AI frameworks (exposure to LangGraph, AutoGen, CrewAI or others) Exposure to cloud AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex AI). Understanding of basic Responsible AI principles and safe deployment patterns. Ability to collaborate with cross-functional teams ...

experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. ...

years in AI/ML engineering, shipping models in production • 3+ years in a Staff-level or senior technical leadership role • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI • Strong Python; Java or Rust a bonus • Experience with LLMs, evaluation frameworks, and agentic AI patterns • Docker … Terraform, CI/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible ...

Degree in a relevant technical field Tech Environment Python, Java Cloud platforms AWS Containerisation and infrastructure-as-code tools Relational and non-relational databases Amazon Bedrock, Sagemaker, Vertex AI Datadog, Databricks, MLFlow, Grafana, OTel Claude, Gemini, ChatGPT, open-weight LLM models Terraform, Docker, K8s RMDBs, Graph DBs, Vector ...

e.g. RAG, agentic workflows, NLP). Strong product and systems thinking with a practical, impact-led mindset. Nice to Have AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift). Familiarity with MLOps practices. Background in adtech, media, fraud, or adversarial systems. Why Join Work on technically challenging, high-scale ...

product-centric ML systems. A product-focused mindset, balancing experimentation with real-world value. Useful additional experience includes: AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift). MLOps practices (monitoring, deployment, optimisation). Working with streaming data, transformer models or recommendation systems. What They Offer ...

/ML systems in enterprise environments Strong expertise in LLMs, Generative AI, and modern AI application design Hands-on experience with RAG, LangChain, LlamaIndex, Bedrock, Azure OpenAI, or similar frameworks Strong Python and/or Java engineering background Deep understanding of distributed systems, microservices, and scalable architecture patterns Track ...

cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic ...

years in AI/ML engineering, shipping models in production • 3+ years in a Staff-level or senior technical leadership role • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI • Strong Python; Java or Rust a bonus • Experience with LLMs, evaluation frameworks, and agentic AI patterns • Docker … Terraform, CI/CD • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── London hybrid (2 days/week) Competitive Salary ...

fast-paced, entrepreneurial environment Qualifications Preferred: - Experience selling to technical buyers (CTOs, ML engineers, data scientists) - Familiarity with competitive cloud AI offerings (AWS Bedrock, Azure OpenAI, GCP Vertex AI) - Background in a hyper-growth startup or major cloud provider - Additional European languages (German, Spanish, Dutch) are a plus ...

PySpark Working knowledge with enterprise architecture frameworks (e.g., TOGAF), MLOps, and BI tools like Power BI and QuickSight Experience of generative AI platforms (e.g., Amazon Bedrock, Anthropic) Familiarity with infrastructure as code (Terraform), CI/CD practices (Jenkins, GitHub Actions), and observability (Grafana, Kibana) Proficiency in scripting ...

logs and traces from a live AI product • Develop and maintain Python microservices, AWS Lambda functions, Python packages and REST APIs interacting with AWS Bedrock, OpenSearch, Kendra, DynamoDB, and other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows. • Work with DevOps engineers ...

Details • Salary: £70k–£90k + benefits • Working model: Hybrid (2 days onsite, London or Manchester) • Tech stack: Python, SQL, LLMs, AWS/GCP (SageMaker, Bedrock, etc.) • Visa: Cannot sponsor Interested? Please apply below. ...

contract role within the dynamic and intellectual environment of Higher Education. You will need the below experience Experience developing AI applications in AWS using Bedrock and CoPilot studio as POCs. Experience designing, developing, and integrating conversational agents or LLM-based assistants. Understanding of prompt engineering and fine-tuning ...

various operational scenarios (e.g., tweaking risk appetites, reallocating shifts) and evaluate projected outcomes. · Cross-Functional Collaboration: Work alongside Data Engineers, Gen AI Experts (AWS Bedrock), and UI Developers to build "Compound AI" systems that combine predictive insights with generative AI explanations and user-friendly interfaces. Required Skills & Qualifications · Experience ...

e.g. Claude Code, Cursor, Copilot or similar) Strong ownership mindset and commitment to quality Nice to Have Commercial experience integrating AI APIs (e.g. Claude, Bedrock, OpenAI or similar) Experience with AWS (e.g. EC2, RDS, Lambda, S3) Microservices or distributed systems experience Familiarity with iterative product development methodologies Awareness ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that "agentic" translates to "value-driven" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...

technical driver, you will bridge the gap between ambitious product goals and production-grade reality. You'll be hands-on across the stackfrom AWS Bedrock and Python services to complex React integrationsensuring that \"agentic\" translates to \"value-driven\" for our customers. The Technical Requirements To thrive in this role ...