1 to 25 of 76 LLM Jobs in the East of England

testing frameworks, monitoring, and quality controls in production environments.LLMs and generative AI — practical understanding of how to engineer data products and pipelines that support LLM and GenAI use cases.Technical leadership — track record of engineering and architectural decision-making, setting engineering standards and delivering high quality, innovative and automated ...

Generative AI & Intelligent AutomationAI Development Tools: Hands-on exposure to or a strong interest in working with modern AI coding assistants (e.g., Claude Code), LLM APIs, or open-source AI frameworks. Data Transformation: Basic understanding of or exposure to processing unstructured data (e.g., PDFs, emails) using GenAI extraction ...

ability to build production-grade systems.Strong proficiency in Python, plus experience with C/C++ or another systems language.Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns.Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling ...

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

agent helping you.What are the responsibilities of the role Design and build full stack web applications using React and Node.jsIntegrate AI capabilities including LLM-driven experiences where appropriateDevelop APIs and microservices that connect tools, data, and platform workflowsDeploy, scale, and monitor services in cloud environments using KubernetesBuild robust, highly available ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

Fabric, modelling tools.Workforce analytics — understanding of core P&C metrics and how to interpret people data.Generative AI and LLMs — prompt engineering, applied use of LLM tools, and an understanding of responsible AI in a sensitive data context.Automation tooling — knowledge and experience with platforms such as Power Platform, Power Automate ...

learning — knowledge in building and applying supervised and unsupervised models to real business problems.Generative AI and LLMs — prompt engineering, RAG, and applied use of LLM tooling in an analytical context.Automation tooling — experience with platforms such as Power Platform, Power Automate, or equivalent.Responsible AI — experience applying fairness, explainability, and governance principles ...

serverless architecture and microservicesExperience with event-driven systems and message queuesExposure to data engineering pipelines or analytics platformsExperience with AI/ML frameworks or LLM integrationsKnowledge of DevOps best practices and Infrastructure as CodeExperience working in enterprise or regulated environments (e.g. NHS, DSPT compliance).QualificationsStrong commercial experience in full stack ...

responsible AI practices.Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs.Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions.Awareness of governance, security, and compliance considerations relating to data management ...

responsible AI practices.Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs.Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions.Awareness of governance, security, and compliance considerations relating to data management ...

experience with:C#/.NETReactBicep (Infrastructure as Code)CI/CD pipelines (Azure DevOps/GitHub Actions)GitHub workflowsContainerisation (Docker)Prompt engineering for LLM-based solutions (structured prompting, chaining, and output validation)Experience building or integrating Retrieval-Augmented Generation (RAG) pipelines (e.g. embeddings, vector search, data grounding)Proven experience delivering ...

scale-up networking in AI GPU/xPU systems. Experience in memory systems for AI inference/training infrastructure. Experience in building high-performance LLM inference systems using SGLang or vLLM. Publications in top computer architecture, systems, and/or ML conferences. Research Sciences IC4 - The typical base pay range ...

support enterprise scaling.Technology Validation & Model Evaluation Design and execute the technical assessment of AI models, and emerging technologies to ensure enterprise-grade performance.Apply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability.Review external AI products and services from a technical perspective to gauge architectural ...

design decisions across teams. Pragmatism under real‐world constraints, choosing achievable solutions over theoretical perfection. Highly desirable: hands‐on exposure to AI‐assisted engineering (LLM APIs, agentic coding tools, prompt‐driven workflows), experience taking early‐stage products from PoC/MVP to production, AWS experience, domain experience ...

Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience ...

experience developing applications using Laravel, PHP and Python Experience building automated workflows, backend systems or AI-driven solutions in a professional environment Knowledge of LLM integrations, APIs and modern AI tooling, with an interest in intelligent automation Strong problem-solving skills and the ability to work across multiple technologies ...

graphs.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working with omics data and familiarity with oncology drug development.Excellent communication skills, with ...

sales, and customer success processes.Support the documentation, cleansing, and construction of the data layer and marketing and sales business context layer necessary to support LLM model development.Define the data acquisition strategy to ensure that desired levels of breadth and quality are achieved.Provide subject matter expertise for AI data and business ...

code with confidence. Hands‐on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup principles to test assumptions ...

ecosystem, including Copilot, Copilot Studio, AI Builder, and Azure AI Experience working with Large Language Models and modern AI architectures, including designing and deploying LLM-based solutions such as copilots, chatbots, and knowledge assistants Understanding of prompt engineering, grounding, and retrieval-augmented generation (RAG) Ability to apply governance, security ...

Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). LLM and AI integrations, or event-driven pipelines. A plus, not a must. It\'s also a plus if you\'re someone comfortable working with customers ...

United States Digital Space LLC in Cambridge, UK, is seeking a Senior Software Engineer – AI Tooling to design and maintain LLM-based engineering tools used by our software teams. You will build CLI, API, backend, and UI components, integrate with CI systems, and help engineers use AI safely and productively. ...

agents to automate business processes.* Developing APIs, backend services and internal tools using Python and Node.js.* Creating automation workflows using Make, Zapier, n8n and LLM-powered tools.* Integrating third-party platforms, APIs and Microsoft 365 services.* Working with SQL and operational data to support automation and reporting.The skills neededWe ...