1 to 25 of 60 Permanent Amazon Bedrock Jobs in the UK

. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

. Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

quantitative field Big 4 or tier-1 consulting firm experience Certifications such as: Azure AI Engineer Associate or Data Scientist Associate Experience with generative AI platforms (Azure OpenAI, AWS Bedrock, Vertex AI) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance EY Building a better working world EY More ❯

engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy, compliance, and More ❯

OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to More ❯

life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence More ❯

world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector More ❯

reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯

reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model More ❯

across model and code changes. 🧩 Core Engineering: Develop scalable backend services in Python 3 with Git , FastAPI , or Django REST Framework . ☁️ Cloud Integration: Work with Google Vertex AI , Amazon Bedrock , and Azure AI to integrate foundation models and APIs. 🗂️ Contextual Retrieval: Use vector databases and retrieval systems to enhance contextual understanding. 🤝 Collaboration: Partner with data scientists, engineers More ❯

Understanding of user-centric design for AI interfaces and intelligent automation. Experience with AI frameworks (PyTorch, Tensorflow, Hugging Face etc.). Preferred Skills Preferred knowledge of AWS, particularly AWS Bedrock for LLM deployment and orchestration. Self-motivated with a strong growth mindset. Pay range and compensation package Competitive salary and performance-based bonus. Opportunities for professional growth and career More ❯

and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset - able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯

Ensure AI solutions are ethical, scalable, and reliable in production. Your skillset Proven experience designing and scaling enterprise-grade AI/ML systems. Expertise with cloud AI stacks (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong skills in Python, FastAPI, CI/CD, MLOps, and LLM orchestration. Leadership experience across multidisciplinary AI teams. Strategic mindset — able to bridge More ❯

Architecture, including: • LLM/SLM deployment, fine-tuning, and inference optimisation • Retrieval-Augmented Generation (RAG) • API-based AI deployment and model orchestration ✅ Strong knowledge of Cloud AI & Hyperscalers — AWS Bedrock, OpenAI, Google Vertex AI, Azure, and hybrid/multimodal AI environments ✅ Proficiency in Cloud Security & FinOps, including AI landing zones, model testing, and compliance frameworks ✅ Understanding of Enterprise AI More ❯

you had Experience working with large codebases and collaborating with multiple engineering teams in large companies Experience in diverse LLM deployment methods (eg hosted finetuned models via services like Bedrock, and running directly via engines like vLLM) Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of More ❯

services powering AI features and data retrieval. RAG & Vector Search : Design and iterate retrieval pipelines using chunking, embeddings, hybrid search, and feedback loops. LLM Integration : Work with OpenAI/Bedrock models, orchestrate prompts/responses, and implement guardrails and evaluations. Data Engineering : Ingest and transform structured/unstructured data; design schemas for analytics and retrieval. Frontend (React/Next.js More ❯

AI infrastructure pipelines ideally using GitLab or similar CI/CD tools to deliver AI solutions. Implement and optimise core cloud services: networking, compute, storage, monitoring. Exposure to AWS Bedrock, AWS Kendra, AWS Rekognition, GCP Vertex AI, LangGraph/LangSmith, or Agentic Frameworks (MCP/A2A). Work with Terraform (IaC) and Python for automation/scripting. Operate effectively More ❯