1 to 25 of 54 Contract LLM Jobs in England

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 AI Doc Intelligence for tasks such as classification ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

concept. Key Responsibilities Design and build production-ready AI solutions , with a strong focus on reliability and scalability Develop and deploy GenAI/LLM-based applications (e.g. copilots, internal tools, automation) Build and maintain AI services, APIs and integrations with existing platforms Implement data pipelines, embeddings, vector search and retrieval ...

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 with data ingestion, indexing, and querying. Working with unstructured ...

agent-based workflows Develop and orchestrate multi-agent AI systems (e.g. supervisor and specialist agents) Implement retrieval pipelines using vector databases to ground LLM responses Build and optimise NLP pipelines for sentiment analysis, intent detection and document understanding Deploy AI/ML models into production using cloud-native architectures Implement ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Inside IR35 ...

guardrails, and evaluation tools across text, audio, and video modalities. Build and test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets ...

INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce ...

using modern authentication and authorization standards like OAuth2, JWT, and Azure AD. Apply best practices in AI model evaluation, tuning, and optimization. Work with LLM architectures and frameworks (OpenAI, Anthropic, LangChain, LlamaIndex) to build scalable and intelligent applications. Utilize vector databases (e.g., FAISS, Azure AI Search) and embedding models ...

Build, configure, and customize data products, pipelines, and applications in Palantir Foundry. Transform large datasets, develop data models and pipelines, and integrate AI/LLM solutions where relevant. Own solutions end to end-from discovery and design to deployment and adoption. Translate business requirements into technical designs and present solutions ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

motion, feedback, clarity, and hierarchy Ability to take an ambiguous user problem and shape it into an elegant, thoughtful experience Experience integrating AI/LLM features into user interfaces Comfortable owning a feature end-to-end , from concept sketches to polished UI Nice to Have Experience with native design patterns ...

Role Overview Role/Job title: Azure AI Architect Work Location: London, Tunbridge wells, Ipswich, Bolton Role type - Permanent/Fixed Term/Contracting: Contracting Mode of working Hybrid/office based: Hybrid If Hybrid ...

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 ...

reliable, safe, and consistent outputs. Implement prompt 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 … content safety, PII handling, data privacy, and role-based access; follow Responsible AI practices and organizational guardrails. Partner with architects and engineers to define LLM interfaces, token/cost budgets, and observability. Your Profile Essential skills/knowledge/experience Hands-on experience crafting prompts (system role design, few-/ ...

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 (RAG): Experience building hybrid systems … combining LLMs with enterprise data MLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying ...

deployment, prompt engineering) - Agentic workflow experience ideally based on AWS AgentCore - Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar) - Large Language Model (LLM) integration and fine-tuning - Experience with Claude, GPT-4, or similar foundation models - Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems: - Retrieval-Augmented … Context window management and chunking strategies MCP & Tool Integration: - Model Context Protocol (MCP) implementation - Tool calling and function integration with LLMs - API design for LLM tool interfaces - AWS Lambda integration with agents AI Safety & Evaluation: - Guardrail implementation (hallucination detection, toxicity filtering) - Response evaluation framework design - A/B testing ...

deployment, prompt engineering)- Agentic workflow experience ideally based on AWS AgentCore- Multi-agent orchestration frameworks (AWS Strands Agents, LangGraph, or similar)- Large Language Model (LLM) integration and fine-tuning- Experience with Claude, GPT-4, or similar foundation models- Prompt engineering and chain-of-thought reasoning RAG & Knowledge Systems:- Retrieval-Augmented … Context window management and chunking strategies MCP & Tool Integration:- Model Context Protocol (MCP) implementation- Tool calling and function integration with LLMs- API design for LLM tool interfaces- AWS Lambda integration with agents AI Safety & Evaluation:- Guardrail implementation (hallucination detection, toxicity filtering)- Response evaluation framework design- A/B testing ...

In this role you will: Act as a Technical SME, designing and developing innovative automated solutions to complex problems utilising the cloud environments. Design and support custom-built applications Azure environment, ensuring secure, reliable and ...

Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI 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 … LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert ...

We are seeking a senior AI Technical Architect within a secure UK Government environment. You will bridge the gap between high-level stakeholder strategy and hands-on implementation of Generative AI and Large Language Models ...

support a large-scale enterprise Generative AI and Agentic AI programme. This is production delivery, not experimentation. You’ll be building and deploying LLM-powered systems, autonomous agents, and enterprise copilots that are actively used across complex organisations. The programme is multi-client, long-term funded, and designed to scale. … Responsibilities Design and deliver Agentic AI solutions aligned to real business workflows Build and orchestrate autonomous agents with planning, reasoning, and tool use Develop LLM-driven systems including RAG, Q&A, and enterprise copilots Integrate GenAI into existing platforms, products, and processes Own delivery end-to-end: design through ...

Job Details Role/Job Title: AI/ML Architect Work Location: London Mode of Working: Hybrid Office Attendance (Hybrid): 2 days from office Number of Positions: 4 The Role An AI/ML Developer ...