26 to 50 of 646 LLM Jobs in England

of what we're building Working with third parties to ensure that the product is best-in-market for the businesses that we work with Set up AI/LLM workflows to generate insights, write SQL queries, draft tickets, automate tasks and teach you new skills How you will contribute to the Product Team's objectives: Autonomy ; you are comfortable More ❯

5G O-RAN domain, contributing to the next generation of intelligent mobile network solutions. Responsibilities: Design, implement, and evaluate machine learning models with a focus on deep learning and LLM applications Develop and fine-tune models for application development in the 5G O-RAN domain Collaborate with developers and domain experts to integrate AI solutions into scalable systems Leverage Kubernetes More ❯

and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI More ❯

technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If More ❯

technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If More ❯

AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility fuels impact Be a game More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

and optimizing AI-powered customer service solutions - Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning - Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and More ❯

mission-critical reliabilityconverge. As a Staff Software Engineer, you will be a technical leader responsible for solving some of the hardest problems in deploying AI products at scale - spanning LLM orchestration, multi-platform integration, latency-sensitive use cases, and global deployment complexity. The systems you help design will directly impact how officers make decisions in the field, increase situational awareness More ❯

of machine learning principles, deep learning techniques and GenAI concepts such as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in ML-Ops practices and tools; strong understanding of DevOps and CI/CD. Experience with cloud platforms, e.g. AWS (preferred More ❯

customers on-site to deploy xAI models/products in their environments or integrate their software with xAI's cloud, alongside engineers Identifying pain points, scoping specs, and building LLM-powered software for government use cases Optimizing model performance via prompt tuning or fine-tuning for secure, scalable deployment, and working with SMEs at the customer to improve this process More ❯

within a cross-functional team of actuaries, technologists, and reinsurance specialists, building tools that empower underwriters with richer, real-time insights. Current and upcoming products include exposure mapping platforms, LLM-powered document processing, and performance analytics dashboards. What You’ll Be Doing: Lead and mentor software engineers, fostering technical excellence and continuous learning Collaborate with Value and Delivery Leads to More ❯

Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems withbrand new technologies. Join a passionate and More ❯

skills in R (including package development, deployment, advanced programming) and Python. Specialist expertise in one or more of the following: Deep learning & analytical frameworks such as pytorch, jax, tensorflow; LLM/LMM applications & agentic AI; bioinformatics & data science. Expertise in systems programming languages (e.g. C/C Rust) is optional but can be beneficial. Strong working knowledge of at least More ❯

and end-to-end testing experience with frontend and backend systems. Proficient in C# or Python to build, maintain, and execute automated test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in More ❯

Resource Groups, Azure Storage Accounts, App Insights, Key Vault, etc. GenAI Application Development - Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and acting More ❯

Applying CI/CD concepts and using version control systems (e.g., Git) Developing internal front-end applications using Streamlit, Dash, or React (preferred but not essential) Leveraging ML or LLM models for data cleaning and anomaly detection (preferred but not essential) Maintaining clear and structured documentation of data processes Solid understanding of medallion architecture and related data concepts Analytical mindset More ❯

AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery and More ❯

or experience working closely with ML/AI teams. Exposure to incorporating LLMs into engineering workflows for production-ready applications, including prompt engineering and context management. Familiarity with multiple LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Familiarity with DevOps tools such as GitHub Actions, Azure DevOps, or Terraform. Understanding More ❯

problems with innovative approaches while balancing real-world practicality to deliver meaningful impact. Key Responsibilities Lead multiple data science projects from concept to deployment.? Architect and implement GenAI/LLM solutions (prompt engineering, fine-tuning, evaluation frameworks).? Write and review high-quality Python code for production-ready solutions.? Communicate complex analytical findings in a clear, business-relevant way to More ❯

ll work on high-impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation More ❯

Excellent communication skills, adept at making measurement engaging, accessible, and actionable for diverse audiences; measurement storytelling. Experience in B2B marketing analytics and marketing intelligence, or B2B consulting Experience with LLM, Gen-AI techniques Experience with CRM platform technology and data structures Experience working directly with engineering and technical teams Experience using python, SQL or similar querying language Suggested Skills Stakeholder More ❯

Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and More ❯