126 to 150 of 643 LLM Jobs in England

graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving NLP, knowledge graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through More ❯

Jira, Bitbucket, Git Flow, Confluence, Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform More ❯

and entrepreneurial team. Key Job Responsibilities This role will lead the transformation of the organization's learning ecosystem through innovative solutions and strategic leadership, focusing on integrating AI and LLM capabilities to revolutionize content creation and learner experiences. The primary architect of next-generation learning solutions, developing predictive quality models and automated systems to streamline workflows and proactively address learning More ❯

the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine tuned LLM and recently passed the UK's bar exam equivalent. We're backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. More ❯

for clean, maintainable code. Expertise in Entity Framework and MS SQL . Experience with cloud platforms (Azure or AWS). Hands-on experience or strong interest in AI/LLM integration , including prompt engineering and API orchestration. Familiarity with code generation techniques (e.g., Roslyn, T4, source generators). Comfortable working in a Copilot-enhanced Visual Studio environment and embracing AI More ❯

Ensure seamless integration with Azure services, including Cognitive Services, OpenAI models, and vector databases. Your Profile Proven experience working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services More ❯

familiarity weaving compliance & security requirements into day-to-day software engineering Not required, but it's a plus if you also have: Prior experience with search, knowledge graphs, or LLM-driven applications Background in life-sciences, health-tech, or other data-intensive domains. Familiarity with multiple clouds (GCP, AWS, and/or Azure) We are on a mission to accelerate More ❯

education (e.g., Computer Science, Engineering, Data Science) 2. A strong product mindset with a proven ability to turn ideas into working prototypes and Product 3. Experience with AI tooling: LLM APIs, no-code tools, workflow builders, or scripting 4. Strong curiosity for emerging AI technologies and eagerness to test and learn 5. Background in Product Management, in the SaaS industry More ❯

The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing More ❯

and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. You have a track record guiding teams and stakeholders to prioritise things that drive important metrics and you take the lead in using data to make decisions. Bonus More ❯

and reporting Building robust, offline-first interfaces that run in air-gapped, secure environments Creating visualisation components (e.g., networks, timelines) to support scenario analysis Integrating with backend APIs delivering LLM, NLP, and structured data outputs Contributing to internal design systems and building reusable, scalable components Collaborating closely with users and the wider delivery team to evolve features through feedback What More ❯

track record leading teams of 5+ developers/researchers Strong experience in engineering assurance and technical governance Expert knowledge in at least one of the following: Reinforcement learning NLP & LLM applications AI for radar, RF, EW, sonar or acoustics Remote sensing and computer vision Graph-based neural networks and knowledge graphs Autonomous systems Experience writing successful research proposals in the More ❯

content. Minimum Qualifications 5+ years of experience in content design, UX design, or related fields, with evidence of systems thinking beyond microcopy. Experience developing and working with AI or LLM-driven products or tools. Familiarity with conversational design, prompt design, or agentic UX approaches. Strong understanding of UX principles and product development lifecycles. Ability to build frameworks, design systems, or More ❯

across the full stack-from prompt engineering and memory management to UI and cloud deployment-using tools like LangChain, CrewAI, and vector databases. Core Responsibilities Build and iterate on LLM/agent-based prototypes (e.g., copilots, chatbots, A2A agents). Implement multi-step reasoning, memory modules, and RAG pipelines. Use frameworks like LangChain, LangGraph, CrewAI, and tools like Pinecone, FAISS. More ❯

Natural Language Processing - Implement intelligent text parsing to extract party details from emails/calendars, build a gift recommendation engine considering age/budget/delivery factors, and integrate LLM APIs for conversational features like RSVP drafting and thank-you message generation. - Mobile-First Frontend with Smart Notifications - Develop cross-platform mobile app (React Native/Flutter) with push notification More ❯

5+ years of experience in content design, UX design, or adjacent fields, with evidence of systems thinking and working beyond microcopy. E xperience developing and working with AI or LLM-driven products or tools. Familiarity with conversational design, prompt design, or agentic UX approaches. Strong understanding of UX principles and product development lifecycles. Demonstrated ability to build frameworks, design systems More ❯

the value of our APIs, while helping them evaluate and test use-cases with them Develop and maintain a deep understanding of the Writer solutions, the broader AI and LLM landscape, as well as our customer's ecosystem so you can offer prescriptive solution recommendations Work alongside Product and Engineering to QA the outputs from the implementation, calibrate, and iterate More ❯

MongoDB - Strong understanding of Data Modelling, ETL/ELT, DWH concepts - Docker/EKS containerisation tooling - Experience building and maintaining pipelines for data workflows (CI/CD - RAG or LLM based data system experience If this sounds like you please reach out. More ❯

as Tensorflow or Pytorch. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: Predictive Graph Machine Learning, Causal Machine Learning, Neuro-Symbolic AI, LLM, Modern NLP Models, Graph Structured Data. Research Scientist key details: Up to £70k salary Up to 10% performance bonus. 2 Days a week in Chelmsford office. Must be eligible for More ❯

build cutting-edge, business-ready AI solutions from the ground up. This role is all about turning AI into action: you'll partner with domain experts to build bespoke LLM-powered apps (like internal Co-Pilots and RAG systems), drive adoption across teams, and embed models directly into business processes. Think real impact, not just proof of concept. What You More ❯

role in a growing SaaS product company ? Keen to grow your technical skills around .Net 8/Angular & get directly involved with the adoption of the latest AI/LLM dev tools (Cursor, Github Copilot, v0 & similar)? If yes to the above & you'd like to join a growing, recently invested in, actually bringing offshore, back onshore, UK Software company More ❯

Graphs, as well as bespoke standards for Property Graphs. Ability to mentor and train junior team members, fostering a culture of learning and growth. Experience integrating AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design. Preferred Qualifications Experience with data pipelines and integrating graph databases into larger data ecosystems. Knowledge of rule-based inference More ❯

with speed. Key Areas of Usage: Research & development of new AI/ML methods Deployment and serving of models at scale Infrastructure automation and cloud-native design Responsible AI, LLM safety, and interpretability tooling Data pipelines, versioning, and observability in production A glimpse of roles we recruit for: AI Research Scientist Machine Learning Engineer Data Engineer with ML experience Applied More ❯

the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine tuned LLM and recently passed the UK's bar exam equivalent. We're backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. More ❯

and applications for a Linux environment Strong programming fundamentals and debugging skills Bonus Qualification Experience with using virtualization, Docker containers, container registry repositories and Kubernetes Experience integrating OpenAI compatible LLM APIs into an application Demonstrable experience in working with LLMs and other machine learning models Experience with cloud deployment and application development using Amazon Web Services Familiar with Nginx configurations More ❯