7 of 7 Amazon Bedrock Jobs in Slough

. 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 ❯

insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI 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 ❯

solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting or client-facing experience Knowledge of AI governance, interpretability, and bias More ❯

/Army/Navy) or delivery in defence, aerospace, or government . C#/.NET , Python/Django , Material-UI , Vite , PostgreSQL tuning. GenAI/LLM experience (e.g., AWS Bedrock , prompts/guardrails, retrieval). Integrations with hardware/peripherals (kiosks, scanners, IoT). Knowledge of secure networked environments , identity/access control, and accreditation workflows. Why this is More ❯

to production under tight timelines. Comfort with ambiguity and speed — this is an early-stage, high-autonomy environment. Tech Snapshot Python 3.11+, FastAPI, SQLAlchemy, Alembic, PostgreSQL AWS (IAM, SES, Bedrock) Event-driven architecture, API-first development AI/ML pipelines integrated into core workflows Why This Role Take over a Lead position and make it your own, this isn More ❯

the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation goals. 2. Executive & Client Advisory a. Advise C-suite and board-level stakeholders on CoPilot-driven business cases, ROI models, and adoption … Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence, with experience advising public-sector and Fortune-level clients. • Governance & Compliance: Deep understanding of GDPR/UK More ❯