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Lead Data Scientist
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
Deployed AI Engineer
Build and deploy AI prototypes and production systems for clients, focusing on RAG pipelines, agent architectures, and LLM integrations while iterating rapidly in short feedback loops.
Artificial Intelligence Engineering Manager
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…
AI Platform Engineer (Senior / Principal)
Build and operate a secure, scalable AI platform for enterprise clients in regulated financial services, enabling teams to deploy, govern, and scale AI-powered applications using cloud-native infrastructure and AI services.
Data Engineer-Python ,SQL,LLM,NLP
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.
Lead DevOps Engineer (Azure)
Lead the design and operation of secure, scalable Azure cloud platforms using Kubernetes, IaC, and automation to enable faster, reliable software delivery for engineering teams.
Software Development Engineer
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 Backend Developer
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.
Старший аналитик-исследователь (Data Science / GenAI)
Разрабатывает мультиагентную GenAI-платформу для анализа финансовых данных, прогнозирования трендов и подготовки инвестиционных исследований с использованием LLM, временных рядов и RAG.
Senior Data Scientist (Senior Software Developer; Systems Software)
Designs and optimizes large-scale data pipelines and parsers using Python, Java, Scala, and various databases (SQL, NoSQL, graph, vector) for enterprise clients.
Senior Full-Stack Engineer (Contract Intelligence & AI)
Build a contract-intelligence platform end-to-end: Python backend, React frontend, and agentic AI pipelines for parsing and analyzing legal documents at scale.
Senior Ai Engineer
Lead the design and production deployment of scalable AI systems, including GenAI, agentic AI, and LLMOps, while guiding engineering teams and setting technical standards.
Middle Full Stack Developer (Generative AI)
Builds and deploys cloud-based Generative AI applications in Python/.NET on Azure, focusing on backend (LLMs, RAG, agent architectures) with occasional React/Next.js frontend work.
Agentic AI Architect
Design and build multi-agent AI systems using AutoGen, CrewAI, or LangGraph for enterprise automation, integrating tool-calling workflows and RAG with production-grade reliability.
Prompt Engineer
Designs and optimizes prompts for LLMs (GPT, Claude, Gemini) and builds RAG pipelines using LangChain/LlamaIndex to deliver tailored AI outputs for enterprise domains like legal, medical, and finance.
Machine Learning Engineer
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Data Engineering Lead
Lead the build-out of scalable ETL/ELT pipelines and a governed data warehouse for an electric-air-taxi startup, ensuring auditable data lineage and clean access layers for engineering and commercial teams.
Applied AI Engineer
Build and improve AI agents that automate cybersecurity workflows like SOC alert triage, threat hunting, and penetration testing using Python, LLMs, and distributed systems.
Senior Software Engineer (AI/ML) - Part-time | Remote
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and agent frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
ML Engineer
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.