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Build and deploy AI/GenAI applications using Python, FastAPI/Flask, and cloud platforms, integrating LLMs, vector databases, and agentic workflows.
Design, train, and deploy ML/DL models into production, focusing on NLP, embeddings, and cloud pipelines (Azure OpenAI, Google Cloud) using TensorFlow, PyTorch, and AutoML tools.
Builds and deploys a production-grade RAG system and AI chatbot using Python, FastAPI, LangGraph, and vector databases, integrating LLMs and enterprise data.
AI Engineer (Banking Transformation) AI & Data | Financial Services | Technology & Transformation London (Hybrid) £80,000-£93,000 + Benefits A leading professional services organisation is seeking a Senior…
Builds Python/FastAPI backend services and AI agent systems (LangChain/LangGraph) for a SaaS platform that consolidates business data into actionable features like BI, integrations, and MCP-based agent tools.
Build and scale an internal AI development platform using Kubernetes, REST APIs, and GenAI tools to deploy and manage AI solutions for the firm.
Build and maintain scalable data pipelines and AI/ML systems, focusing on NLP, LLMs, and generative AI to support data-driven decisions and model evaluation.
Build and deploy AI agents and RAG pipelines that integrate with banking systems using TypeScript, MCP, and LLM APIs to automate workflows in a regulated digital asset bank.
Builds and deploys AI agents for enterprise workflows, focusing on prompt/context engineering, RAG pipelines, and production integration with APIs/ERP systems using Python, OpenAI/Azure APIs, and tools like LangChain.
Senior Data Scientist builds and deploys GenAI/LLMs and advanced analytics solutions for business impact, focusing on production-grade RAG, evaluation, and governance in a fintech context.
Design and build production-grade AI systems using generative models, RAG, and cloud platforms (Azure/AWS/GCP) to solve real business problems with scalable, maintainable solutions.
Build and run the backend for a new generative-AI hub serving a financial-services firm; stack includes Azure, .NET/Node.js, vector search, agent orchestration, and Azure OpenAI.
Line of Service Assurance Industry/Sector FS X-Sector Specialism Assurance Management Level Associate Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Build the backend for an Agentic AI platform on Azure using Node.js or .NET 8, designing APIs, data pipelines, vector search, and agent tools with LangChain and FastAPI.
Build and scale an AI-driven security platform by designing autonomous agents for threat investigation, response, and automation, while architecting distributed systems for high-scale, multi-tenant security operations.
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
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