1 to 25 of 80 Permanent LLM Jobs in the North of England

Develop and deploy machine learning models for: Prediction Classification Automation Insight generation Support the full life cycle from experimentation through to production Generative AI & LLM Applications Develop AI-powered solutions using large language models (LLMs) Apply prompt engineering and context engineering techniques Build use cases such as: Chatbots Document processing ...

mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject matter expert ...

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 ...

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. ...

equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus. Working knowledge of Google's marketing stack: Google Analytics, Google Tag Manager ...

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 ...

development of next-generation AI-powered agentic solutions. The successful candidate will design, build, and deploy autonomous AI agents using Claude Code and modern LLM technologies, enabling intelligent workflow automation, business process optimisation, and advanced decision support capabilities. This role combines software engineering, AI application development, automation, and prompt engineering … stakeholders to identify and deliver AI use cases. Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic AI & LLM Development Proven experience developing solutions using Claude Code. Strong understanding of Agentic AI concepts including planning, reasoning, memory ...

MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with ...

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 ...

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 ...

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 ...

have experience across the following: Development team management and leadership experience, planning, sprints, mentoring, support etc. Experience in retail ecommerce Strong AI, LLM & Agentic experience. Extensive process automation experience. Hands on development skills, HTML, CSS, JavaScript, SQL, Python. Strong business engagement experience at all levels. This role is 3 days ...

record of building automations and AI workflows, not just using them. You can point to things you've shipped. Real, hands-on Claude/LLM fluency; prompt design, Claude Projects, and ideally API/MCP. You actually use this stuff, you don't just have opinions about it. Strong with ...