1 to 25 of 45 Permanent OpenAI Jobs in London

architecting Generative AI, Agentic AI, machine learning and automation solutions in enterprise environments. Strong expertise in LLMs and RAG architectures , including models such as OpenAI, LLaMA, Mistral or Claude. Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector ...

engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.). Ability to design enterprise-level AI/Gen AI platform/solutions with ...

Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring Experience ...

Learning Architect, or Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge including Azure OpenAI, AWS Bedrock/SageMaker, or GCP Vertex AI Experience with Kubernetes, Docker, microservices architectures, and API integrations Proficiency in Python, MLOps, LLMOps, CI/ ...

Neural Networks, and Large Language Models (LLMs). Generative AI & LLM Expertise: o Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs. o Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation ...

cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM and Vertex AI, Azure OpenAI Services and Azure ML, AWS Bedrock and SageMaker, Dataiku, Databricks, Snowflake Snowpark and Snowflake Cortex, and DataRobot. Experience architecting scalable, high-performance, and cost-optimised ...

pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph ...

microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines ...

enterprise‐scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing. Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real‐world problems with speed, clarity, and measurable impact. ...

Architect and implement enterprise Generative AI solutions using LLMs, RAG pipelines, prompt engineering and frameworks such as LangChain • Design scalable AI systems using Azure OpenAI, OpenAI API, Claude, Bedrock or Vertex AI • Lead the architecture of secure, production-ready solutions across cloud and distributed environments • Act as a trusted technical ...

skills, including AWS, Kubernetes, Docker, infrastructure as code, and modern observability tooling. Hands‐on experience with leading LLM providers such as Anthropic, Claude and OpenAI, with the ability to evaluate additional model providers and approaches. Familiarity with LLM tooling ecosystems such as LangChain or LlamaIndex, agentic AI frameworks, vector stores ...

Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus ...

calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies, or knowledge graph concepts Proven ability to rapidly prototype solutions for client validation Experience working ...

week in office (South West London, 20 minutes from Waterloo Station) • Tech stack: Python, GCP (Vertex AI, Model Garden, BigQuery, Cloud Run), LLMs (OpenAI, Gemini, Claude, Llama), vector databases, RAG, Docker, CI/CD • Sponsorship: Not currently available Interested? Please apply below. ...

600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Opportunity We recognise “data” is broad, that’s why we’re keen to speak ...

related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave ...

account teams to strengthen competitive positioning 3. Architecture & Solution Design Design scalable AI-enabled automation architectures integrating: Hyperscaler AI services (Azure AI, AWS, GCP, OpenAI, Anthropic) Enterprise platforms (SAP, Oracle, ServiceNow, CRM systems) Data platforms and middleware Define: Agent-based automation models RAG architectures Process orchestration frameworks Human ...

looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking ...

operate. Why Join Prolo? Founding Team Impact: Shape the product, architecture, and engineering culture from day one. Technical Depth: Work with cutting-edge AI (OpenAI, Semantic Kernel), graph databases (Neo4j), and modern infrastructure. Competitive Compensation: Benefit from a competitive salary plus significant equity as an early stakeholder. Domain Expertise: Gain ...

drive to unlock real business value with AI Tech my client works with: Python, React/Next.js, FastAPI/Django, Azure/GCP, OpenAI, LangChain, CrewAI, and more. If you want to push the boundaries of AI in consulting, this is your place to make an impact. ...

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 ...

needs into effective technical solutions. Nice to have Experience with Microsoft 365, Dynamics 365 or other enterprise platforms. Exposure to Azure AI services, Azure OpenAI or API-based AI integrations. Experience with AI-assisted workflows or agent-based solutions. Experience in regulated or complex operational environments. SC clearance, or eligibility ...

cases into practical technical solutions Desirable ● Experience integrating with Microsoft 365, Dynamics 365, or other enterprise platforms ● Familiarity with Azure AI services, Azure OpenAI, or API-based AI integrations ● Experience designing AI-assisted workflows or agent-based solutions ● Exposure to regulated or complex operational environments ● Active SC clearance or eligibility ...

processes Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets ...

Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third-party datasets ...