23 of 23 Contract OpenAI Jobs in England

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 ...

unstructured data (text, logs, transaction data) Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud) Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

development and enhancement of their Service Management Chatbot. This is a key role for someone with deep technical expertise in Python, LangChain, and OpenAI services, particularly within Azure environments. You will lead the technical delivery of the client’s Chat API, ensuring it is robust, scalable, and continuously improving. Responsibilities … Lead the development and enhancement of the Chat API using Python, LangChain, and OpenAI services on Azure Function Apps Monitor and resolve API bugs and performance issues to ensure high availability and reliability Oversee and troubleshoot data ingestion processes supporting the chatbot’s functionality Collaborate with solution architects, product teams ...

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 ...

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 ...