13 of 13 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 ...

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 ...

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 ...

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 ...

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 ...

Security programme. Role Overview As a Cybersecurity Specialist, you will bring hands-on experience with leading AI technologies and platforms-primarily AWS Bedrock, Azure OpenAI, Microsoft 365, and other foundation model providers-to support teams in adopting these capabilities securely and effectively. You will provide guidance on model security, deployment ...

Role: Gen AI Engineer Location: London, UK Duration: Contract Job Description: Your Profile Essential skills/knowledge/experience: Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or ...

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 ...

Role: AI Developer Location: London - up to 3 days per week on-site Duration: 3 Months Day rate: £540 - £585 Umbrella Only Minimum of 5 years UK residency required Role Description: We're looking for ...

they can be exploited. Essential Skills Application Security Assessment IAM technical architecture and WAF (web application firewall) Hands on experience with AWS bedrock Azure OpenAI AI Agents and Azure Foundry 6 months Contract Inside IR35 | £600 a day | London Based (2 days a week in the office) This ...

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 ...

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 ...

client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Core Requirements (Non-Negotiable): Network Encryption: Master Proficiency is required. You must have deep expertise in securing data … Innovative Strategy: Develop and implement security strategies that enhance application security while enabling AI adoption. Security Governance: Translate platform-specific risks (AWS Bedrock, Azure OpenAI) into actionable engineering patterns and governance controls. Assessments & Audits: Conduct regular security assessments and audits to identify vulnerabilities across the AI and data landscape. Cross ...