21 of 21 Contract OpenAI Jobs in the UK

Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills:- Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelors or Masters degree in Computer Science ...

have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation ...

Integrate monitoring, logging and diagnostics for custom applications using Azure Monitor, Application Insights and Log Analytics. Integrate with AI-related Azure services such as OpenAI and contribute to integrations strategies involving LLMs. Ensure that custom-built applications are built and maintained inline with client standards, governance and controls, ensuring compliance ...

integrate AI techniques into their applications effectively. What you bring * 5 years of experience in Python for AI/ML, with familiarity in OpenAI, GitHub Copilot, or prompt engineering. * Good understanding of GenAI development, AI/ML life cycle, data engineering (SQL, NoSQL, Big Data), and DevOps/CI/ ...

cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing ...

entries with lineage. Implement tracing for observability, manage latency and cost SLOs, and set alerts for hallucination and safety incidents. Develop provider abstractions for OpenAI, Gemini, Azure OpenAI, and Vertex, including capturing provider/region, model/version, and quota routing. Schedule index rebuilds, freshness windows, incremental sync, and manage … semantic search, text classification, and summarisation. Strong understanding of Large Language Models (LLMs) and Generative AI (GAI), with hands-on experience in LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and vector databases like ...

candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers the opportunity to work with best-in-class Microsoft AI technologies to build intelligent automation capabilities, accelerate business processes … driving innovation using large language models, and intelligent document processing. Your Responsibilities Design, develop, and deploy AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. Build and operationalize LLM-based applications, including prompt engineering, model customization, and grounding strategies. Develop intelligent document processing pipelines using Azure ...

knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

automation Designing RAG pipelines for insurance data Developing LLM-powered tools using Python , LangChain , LlamaIndex , and vector databases Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral) Collaborating with Data Science & Engineering teams to productionise models What you’ll need Strong Data Science + AI Engineering background Hands ...

based on user feedback, technical feasibility, and risk considerations. Help transition successful prototypes into production environments. Innovation & Research Stay current on GenAI tools (Azure OpenAI, Gemini, Claude, etc.) and emerging AI governance standards. Educate stakeholders on opportunities, risks, and limitations of new AI capabilities. Contribute to internal working groups focused ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores click ...

with Microsoft Copilot Studio and Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API). Ideally, familiarity with Azure AI services and OpenAI integration. Expertise in prompt engineering and conversational design. Understanding of data governance, compliance, and security. Ability to create custom connectors and integrate external systems. Excellent ...

with Microsoft Copilot Studio and Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API). Ideally, familiarity with Azure AI services and OpenAI integration. Expertise in prompt engineering and conversational design. Understanding of data governance, compliance, and security. Ability to create custom connectors and integrate external systems. Excellent ...

vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval. Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face. Collaborate with data scientists and software engineers to create scalable AI-powered applications. Fine-tune and evaluate large language models for specific … engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability to create chains, prompts, and agents. Desirable Skills/Knowledge/Experience Experience ...

candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Az click apply for full job details ...

Azure AI Architect, you will lead the end to end architecture, design, and delivery of enterprise AI solutions built on Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence design and deploy. You should have hands-on experience in Azure Data Factory, Azure ML Service, Azure Data bricks, Azure … functional requirements (performance, resilience, security, and cost). Your Responsibilities Define target state Azure AI reference architectures leveraging Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores. Create … years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML Service, Azure Data bricks, Azure Key Vault, Azure BLOB Storage Account, Azure ...

technical people. What you will bring to the team Fine-tune Large Language Models (LLMs) and other generative architectures. Optimise pre-trained models (OpenAI, Anthropic, or open-source LLMs) for business use cases using prompt engineering and reinforcement learning. Experiment with model configurations to balance performance, cost, and scalability. Build … principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment ...

chaining and multi-turn orchestration patterns for complex workflows (reasoning, planning, tool use, and validation). Build LLM-powered features on Azure (e.g., Azure OpenAI, Azure Functions). Utilize and manage RESTful APIs/SDKs to integrate model calls within web services, back-end jobs, and enterprise applications. Design …/tool calling, safety filters). Understanding Prompt Injection and other security aspects of AI. Practical experience deploying LLM solutions on Azure (e.g., Azure OpenAI, Azure Functions, App Service, Key Vault). Proficiency with REST APIs and JSON; integrating LLM calls into applications/services using Python or C# (Node.js ...

Responsibilities Architecture & Governance: Lead the design and deployment of on-premises, hybrid, and cloud-native AI solutions. GenAI Implementation: Hands-on deployment of Azure OpenAI, Vector Databases, and RAG patterns. Data Engineering: Oversee large-scale data processing using Python and PySpark to support AI model fine-tuning. Leadership: Manage technical … deliver upskilling sessions to the customer. Stakeholder Management: Gain consensus on complex technical roadmaps with diverse client groups. Technical Skills & Experience Core AI: Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps lifecycles. ...