1 to 25 of 83 LLM Jobs in the North of England

Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning ...

maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration ...

Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. ...

adopt emerging AI and agent technologies. Hands-on experience with vector databases, embeddings, or prompt engineering. Understanding of AI fundamentals and experience using LLM APIs or AI-enhanced features and Agents. Experience with cloud services such as AWS, Azure, or serverless platforms. Interest in distributed systems, event-driven architectures ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

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 ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain ...

expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private ...

home 100% of the time. Your Role: Lead the design and development of GenAI applications and services Guide teams on best practices for LLM usage prompt engineering and AI integration Collaborate with product owners and stakeholders to translate requirements into solutions Oversee code quality performance and deployment pipelines. Your Skills ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and ...

world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks ...

/architecture (Azure) Experience working in an Agile environment (Scrum/Kanban) Knowledge and experience of Unit Testing (xUnit, nUnit) Experience integrating AI/LLM capabilities into back-end services (e.g. OpenAI, Azure OpenAI, or similar APIs) Desired Skills/Experience Experience of TDD practices DevOps (CI/CD, Pipelines ...

design to ensure AI features deliver real user value. Your Skills and Experience You will bring: Strong commercial experience building AI-driven systems using LLM frameworks such as LangChain or LangGraph. Proven experience designing or contributing to impactful platform-level engineering work. A solid software engineering background, with exposure ...

Certified Implementation Specialist (in ITSM or CSM at minimum). Desirable : ITIL v4 Practitioner level or above, training in Agile methodologies, and familiarity with LLM-based workflow orchestration, NLU/NLP, or vector search technologies. ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering enterprise AI and data transformation programmes across Financial Services. The focus is designing scalable AI architectures that ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

AI Architect (Contract) Duration: Initial 6 months (with strong extension potential) About the Role We're working with a forward-thinking organisation looking to engage an experienced AI Architect on a contract basis to drive ...

AI Engineers & Technical AI Leaders Manchester | Hybrid We're supporting a major consulting and technology organisation delivering AI and data transformation programmes across Financial Services and Banking The focus is applied AI engineering, building production ...

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 ...