151 to 175 of 542 LLM Jobs in England

M365 Copilot Teams, SharePoint-related infrastructure Knowledge of Azure AI Foundry and Microsoft 365 SDK Knowledge of Model Context Protocol, Agent to Agent and LLM selection an advantage Software Development Experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React and related scripting, .NET technologies (C# ...

following: Develop and enhance AI and machine learning models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research and development to identify new AI-driven solutions in lending and risk. Contribute to new product development and AI-led offerings. ...

/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech and lead PoCs to drive 'idea-to-value' at pace. Requirements AI Expertise: Deep knowledge of GenAI, LLMs, and Agentic Workflows/orchestration. Engineering ...

/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams. Innovation: Evaluate emerging GenAI/LLM tech and lead PoCs to drive "idea-to-value" at pace. Requirements AI Expertise: Deep knowledge of GenAI, LLMs, and Agentic Workflows/orchestration. Engineering ...

technical debt Collaborate with Data teams to align product design with data quality, structure, and AI use cases Identify and embed practical AI and LLM-driven functionality into workflows and the product experience Act as the day-to-day product contact for commercial teams and senior stakeholders Your Skills ...

complex TypeScript codebases Are comfortable working end-to-end across product and engineering Actively experiment with and refine AI-assisted development workflows Have built LLM-powered systems or AI agents in production environments Tech Stack TypeScript monorepo React, tRPC, Tailwind Event-driven workflows and background jobs Deployed on Google Cloud ...

identifying automation opportunities while building and deploying scalable AI solutions across the business. 💻 Tech/Experience: • Strong Python + TypeScript engineering background • Experience building LLM applications in production • Claude/OpenAI APIs, prompting, tool use & structured outputs • Azure, REST APIs, webhooks, SSO/Entra ID • Exposure to agentic systems, orchestration ...

really matter here. Tech highlights: AWS, Terraform, CI/CD ECS/container platforms API gateways (Kong or similar) AI/ML workloads + LLM integrations They’re looking for someone who: Is genuinely hands-on and opinionated about good architecture Has worked on shared platforms across multiple teams Understands ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

engagement. Experience needed A background in creative technology, software development, and digital design gained form working in a creative agency. Experience with multiple LLM platforms (OpenAI, Claude, Gemini, Llama etc) Familiarity with generative image APIs (Midjourney, Stable Diffusion, DALL-E etc) Fluency in creative coding and prototyping tools (e.g., Python ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

immediate. You'll need at least five years in software engineering with strong Python skills. More importantly, you've already implemented GenAI or LLM-based solutions into production. You know what works, what doesn't, and why. The base salary goes up to £160k, and you're joining a hedge ...

internal tools and lightweight platforms to improve workflow efficiency Supporting automation across reporting, document handling, internal processes, and knowledge workflows Working with AI/LLM-based solutions to solve practical business problems Helping create bespoke internal systems rather than relying solely on off-the-shelf software Collaborating closely with senior ...

early-stage startups, influencing product strategy User-problem focused, not purely technical solution-oriented Experience scaling TypeScript codebases Comfortable building AI agents or LLM-powered systems beyond simple prompting High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic ...

London is a stretch for a commute, get in touch anyway — they flex. Weeks working abroad? Achievable. What will I actually be working on? LLM orchestration, AI agent reasoning over complex API workflows, building the tools that make enterprise integrations intelligent. Think: how do you give an AI agent enough ...

Strong problem-solving skills and ability to work independently. Excellent communication skills when working across technical disciplines. Desirable Experience (Not Required): Experience working on LLM-powered or AI-driven applications. Exposure to agentic workflows or complex computational systems. Background in start-ups or early-stage environments. Experience building developer tools ...

consulting industry, either as a consultant or by supporting consulting teams in a technical capacity. Strong technical proficiency in NextJS, TypeScript , and LLM frameworks (e.g., Pydantic, LangGraph). Comfortable working with Python and familiar with modern cloud infrastructure (AWS, Terraform, PostgreSQL, Modal). Ability to create intuitive, polished user interfaces ...

this, we would expect you to have experience across the following: Development team management and leadership experience, planning, sprints, mentoring, support etc. 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 ...

problems, not just technical solutions Have scaled TypeScript projects Enjoy refining and customising your AI workflow into the early hours Building AI agents or LLM-powered systems that go beyond simple prompting Thrive in autonomy and owning your own work & projects Are genuinely excited by building products from the ground ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...

Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP) Experience handling and processing large datasets Knowledge of prompt engineering, fine-tuning, or LLM orchestration frameworks (e.g. LangChain) Strong problem-solving abilities and a passion for innovation Ability to communicate technical concepts to non-technical stakeholders Ability to work … mindset with strong attention to detail The Software Engineer role will involve: Designing, developing, and maintaining AI-driven applications and services Building and integrating LLM-based solutions into existing systems Developing scalable back-end services using Python and/or Java Collaborating with data scientists and engineers to deploy machine ...

Design and build AI-powered workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation) Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains Manage AI infrastructure and tool integrations (API gateways, MCPs, external services …/CD practices Requirements 3+ years in software engineering or AI application development, with shipped production projects Proficiency in Python and SQL Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc.) Experience designing and building end-to-end projects, ideally with personal AI projects that demonstrate passion ...

platform best practices Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI Develop prompt chains , agent tools, and custom modules that support reasoning, summarization, and multi-step … experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such as LangChain , LangGraph , CrewAI , ReAct , or similar Understanding of LLM orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service ...

requirements, demonstrate solutions and iterate delivery Document architecture designs, decisions and best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/… libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelors degree in Computer Science, Engineering or a related discipline (2.1 or above) Highly Desirable ...

requirements, demonstrate solutions and iterate delivery Document architecture designs, decisions and best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/… libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above) Highly ...