1 to 25 of 40 Contract LLM Jobs in the UK excluding London

collaboration, and accountability for outcomes. The Role and Deliverables Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification. Develop cloud-native microservice or full-stack applications using API-led architectures. Integrate AI capabilities securely and reliably ...

experience (Docker or similar) and orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems - we are actively building in this space and welcome enthusiasm here even without prior production experience Contract ...

Duration: Initial 6 months (with strong extension potential) About the Role We're supporting a leading organisation looking to hire an experienced LLM/Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models … GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value. Key Responsibilities Design, build, and deploy LLM-powered applications and GenAI solutions Develop and optimise prompt engineering strategies for performance and accuracy Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

improvement, optimisation, and scalability. Modernising and containerising Rfam curation pipelines, and implementing human-in-the-loop, AI-assisted agentic curation. Developing and scaling LLM pipelines used in RNAcentral for literature summarisation and curation. Developing scalable workflows for ncRNA annotation in genomes. Documenting data pipelines, processes, and workflows for internal reference ...

Strong commercial Data Science/ML experience. Python and cloud ML platforms (GCP/Vertex AI or AWS SageMaker) Experience with NLP/LLM use cases. Ability to work autonomously and deliver business impact. Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly drive revenue. ...

deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design ...

adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release click apply for full job details ...

Experience building and managing virtual machines (Windows and Linux) Laptop builds (install and securing) Active Directory Understanding of AI use cases and LLM functionality Desired knowledge and skills Kubernetes experience, installing and maintenance of clusters ProxMox Hypervisor Server Installation and management Networks (CCNA level) LDG, CTG and BCIP Cloud Architecture ...

breath of remits you will have undertaken. Strong experience and exposure to AI, innovation and wider data transformations. Any exposure to Machine learning or LLM's or Power flows Lead discovery sessions with business stakeholders to identify AI opportunities and clarify business objectives, success criteria, and measurable value. Working with ...

into clear, actionable instructions for vehicle converters. Collaborative AI Support: Work as part of the team to identify and test AI solutions (such as LLM) to automate repetitive tasks. This includes supporting the development of AI-assisted translations and automated tracking of the SME approval pipeline. Process Improvement: Use your ...

responsibilities: * Design, build and maintain AI-enabled applications using enterprise GenAI services* Develop production-grade microservices and/or full-stack applications* Integrate LLM, RAG, summarisation and extraction services into secure, scalable applications* Own end-to-end delivery, including development, CI/CD, deployment, monitoring and incident resolution* Build … understanding of security, resiliency, scalability, performance and observability* Experience with monitoring tools such as CloudWatch and/or Datadog* Experience with testing strategy and LLM evaluation Nice to have: * React, Next.js and TypeScript experience* Experience delivering AI-enabled user experiences, such as chat-based interfaces or intelligent workflows* Familiarity with ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data … expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. ...

senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration ...

HTML and CSS experience Comfortable working directly within a codebase and collaborating with engineering teams Demonstrable experience designing AI-native products, conversational interfaces or LLM-powered applications Understanding of AI interaction patterns, prompt workflows, agentic systems and user experiences built around large language models Experience working with tools such ...

live environments Experience working with APIs and integration patterns, including troubleshooting orchestration issues Familiarity with Terraform and working with Infrastructure as Code Exposure to LLM/conversational AI/chatbot configuration Technology Environment AWS Services Amazon Connect AWS Lambda EC2, S3, RDS, DynamoDB CloudWatch API Gateway Integration & Architecture REST APIs ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will ...

through to production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting … strong data engineering capability. Proven experience building backend systems for ML, including CI/CD pipelines and MLOps. Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph. Experience working in cloud-based data and ML environments, ideally with Azure and Databricks. ...

will cover Architect and implement/maintain agentic systems autonomous agents, multi-agent pipelines, tool-use workflows, planning loops, and memory-augmented reasoning Implement LLM observability logging, tracing, evaluation pipelines, and guardrails to maintain quality and reliability in production AI systems Advise on responsible AI deployment, including output validation, human ...

data policies effectively. This role offers the opportunity to work at the intersection of data, engineering, and AI, with exposure to modern technologies including LLM integrations. What You'll Be Doing Design, build, and maintain Python-based backend services Develop and enhance data governance tooling used across the business Contribute … improve user experience Own the full development lifecycle (design build deploy support) Collaborate with business stakeholders, product teams, and global engineers Support AI/LLM-enabled data access workflows Perform code reviews and mentor junior engineers Ensure systems are scalable, stable, and secure Core Experience Strong experience in software engineering ...

data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting AI inference … feedback loops Develop backend services/APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint/Teams) Implement asynchronous processing pipelines (SQS, EventBridge ...

will take ownership of full lifecycle projects, from problem definition through to deployment and monitoring. Lead end to end delivery of AI and LLM based solutions across underwriting and insurance journeys Build and deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products Work across ...

adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming … continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. ...

scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating … rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers ...

Join Our Dynamic Data Science Team! Are you a passionate Data Scientist ready to make a real impact in the retail industry? Our client is seeking a talented individual to join their vibrant team on ...