1 to 25 of 43 Contract LLM Jobs in England

role in building and scaling asynchronous task pipelines, implementing MCP (Model Context Protocol) servers and tools around complex APIs and internal systems, and integrating LLM-based orchestration frameworks. On the front end, you'll build rich, data-dense interfaces using React and AG Grid. You will also work directly with ...

within the team, establishing the patterns other engineers follow and leaving clear documentation behind What We're Looking For Robust software engineering, including developing LLM-powered or agentic systems, and a track record operating at senior/lead level Strong engineering fundamentals: code that's clean, tested and built ...

cross-functional teams to translate business requirements into technical AI solutions. Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise ...

handling large data volumes Develop and integrate APIs, microservices, and distributed systems Deploy and manage applications within Microsoft Azure environments Integrate applications with LLM-based services, Agentic AI workflows, and AI-driven platforms Work with containerised solutions using Docker and cloud-native deployment approaches Support and enhance CI/ ...

services into production environments. Collaborate with architects, product teams, and business stakeholders to deliver AI driven solutions. Optimise performance, scalability, cost, and latency of LLM based applications. Experience Required Proven experience designing and delivering production grade AI and Generative AI solutions. Strong expertise in Azure OpenAI, Azure AI Foundry, Azure ...

scale. Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems Automation and orchestration services (particularly within Azure) Work with containerised environments (e.g. Docker) and contribute to cloud ...

scale. * Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). * Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems * Automation and orchestration services (particularly within Azure) * Work with containerised environments (e.g. Docker) and contribute to cloud ...

stakeholder management . Excellent communication skills with the ability to engage and influence senior stakeholders. Desirable Skills & Experience Experience delivering platforms supporting AI/LLM workloads (Azure OpenAI, AI Foundry, AI Gateway). FinOps experience including cloud cost management and reporting. Experience integrating cloud platforms with ServiceNow or similar ITSM ...

Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Contract length: 13-month fixed-term maternity cover. We are ideally looking for a January 2027 start to allow ...

delivery mindset Desirable Experience • MOD or defence delivery, including air-gapped or classified environments • Familiarity with MOD standards, information assurance and accreditation • AI/LLM engineering, including agentic workflows and evaluation • Data engineering and integration with complex customer data • AWS or Azure, GPU workloads or on-premise model serving Working ...

node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine graph traversal, vector retrieval, structured evidence, LLM reasoning, citations, and human approval controls. Partner with SOC, threat intelligence, IAM, vulnerability management, cloud security, architecture, data engineering, and product teams to convert operational … Practical use of MITRE ATT&CK, STIX/TAXII, CVE, CWE, CAPEC, NIST frameworks, CIS Controls, and common threat-intelligence vocabularies. GenAI and GraphRAG: LLM-based extraction, retrieval orchestration, agent/tool integration, prompt design, evaluation, grounding, guardrails, explainability, and evidence traceability. MLOps and observability: Experiment tracking, model versioning, deployment ...

encryption, key management and data classification. Familiarity with AI security risks and governance frameworks, including NIST AI RMF, ISO 27001 and OWASP guidance for LLM and Agentic AI applications. Experience working across multiple cybersecurity control domains. Previous involvement in AI-enabled security transformation, control automation or enterprise AI adoption programmes. ...

The Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key ...

translate them into effective prompts and AI requirements Experience testing and refining prompts to improve accuracy, consistency and quality A good understanding of LLM behaviour, guardrails and hallucination management Mortgage, lending or financial services experience would be a strong advantage. Reasonable Adjustments: Respect and equality are core values to us. ...

Technologies C# .NET Entity Framework JavaScript React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure-by-design principles Technical assurance ...

Offensive Security Engineer - LLM & Penetration Testing - BANKING CLIENT - LONDON Location: London - Hybrid (8 days onsite per month) Contract: 12 months (initial) Day Rate: Competitive, depending on experience €500 - €800 per day IR35 Status: Inside IR35 - MUST USE UMBRELLA The Opportunity We are looking for a hands-on AI Offensive Security … improve testing capabilities. Essential Skills & Experience We are particularly interested in candidates who combine strong offensive security fundamentals with practical experience using AI or LLM technologies. Minimum 3 years' experience in Application Security, Penetration Testing, Offensive Security or Security Engineering. Strong hands-on experience with SAST, DAST, vulnerability assessments ...

engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform. You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications. The role … Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing ...

production deployment, monitoring and optimisation. Build predictive models for pricing, demand forecasting, customer propensity, personalisation and recommendation systems. Develop and implement GenAI and LLM-powered solutions to improve business processes and customer experiences. Apply MLOps best practices to ensure models remain scalable, reliable and effective in production. Partner with stakeholders … building, deploying and maintaining machine learning models in production. Strong understanding of MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

alongside practical experience designing reliable, secure and maintainable AI-enabled applications. Skills required Strong Python software engineering experience Hands-on experience developing GenAI/LLM applications Hands-on experience designing and implementing Agentic AI workflows Experience with LangGraph Strong understanding of LLM workflow design, including state, routing, tools, structured outputs … Practical experience designing and implementing RAG architectures Experience with document ingestion, chunking, embeddings and vector/semantic search Experience with prompt engineering and structured LLM outputs Experience with AI/LLM evaluation, testing and quality assurance Understanding of guardrails, grounding, hallucination mitigation and AI assurance Experience building and integrating APIs ...

testing, version control and deployment practices. Ability to investigate problems across the application stack and explain technical decisions clearly. Desirable experience AI platforms, large language model APIs and tool-calling workflows. OAuth integrations, webhooks, queues and event-driven processing. Cloud infrastructure, containers and continuous integration/delivery. Multi-customer applications ...

Prompt Engineer, Claude, LLM £690 per day Outside IR35 Fully Remote Contract We're looking for an experienced Prompt Engineer to support a major AI-enabled transformation programme. Working closely with business stakeholders and technical teams, you'll be responsible for translating requirements into high-quality prompts, instructions ...

team building a central Enterprise AI Gateway. This hands-on role blends strong production backend and cloud engineering with practical generative AI integration, including LLM APIs, agentic tooling, and enterprise security controls. Key Responsibilities: Design, build, test, and maintain backend microservices and APIs powering the Enterprise AI Gateway. Integrate … services. Key Skills & Experience Required: Strong hands-on experience building production APIs/backend services in Python or TypeScript/Node.js. Practical experience integrating LLM APIs (e.g., Anthropic Claude, OpenAI, Mistral) into applications or workflows. Solid understanding of prompt management, structured outputs, tool calling, context handling, and agentic patterns. Experience ...

established, technology-led business in the sports betting industry that's investing heavily in AI, with ambitious plans to transform its platform through LLM integration, intelligent automation and agentic AI. The business is establishing a dedicated AI engineering function and is looking for a Senior AI Platform Engineer to lead … mentoring other engineers. Desirable: Python, FastAPI, LangGraph, LangChain or similar AI frameworks. JSON-RPC, SSE, WebSockets and event-driven architectures. Experience with RAG, LLM function calling and context management. An interest in sport and the sports betting industry. Why Consider This Opportunity? This is an opportunity to take technical ownership ...