18 of 18 Permanent LLM Jobs in Somerset

occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers ...

Dell Pro Max Plus) after probation. Plus, we provide noise-cancelling headphones to ensure you have the peace needed for deep "flow" state work. LLM's: All staff have access to Gemini Pro via our Google Workspace account. ChatGPT Pro or Claude Pro are also available if you have ...

based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. … senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines ...

solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility studies for emerging …/ML or data-driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI ...

JavaScript/TypeScript and/or Python. Proven experience using and extending Visual Studio Code (extensions, integrations, workflows). Familiarity with AI developer tools, LLM APIs, and agent frameworks (e.g., OpenAI, LangChain, Hugging Face). Ability to build and explain end-to-end demos using modern dev tooling and workflows ...

taken depending on the results of goal 1to integrate the most interesting/beneficial feature into the GNATfuzz product AI Corpus Generation: Use an LLM to generate a diverse set of valid and boundary-case inputs for a target application based on its function signatures and documentation (if available). ...

Job Title: Lead AI Engineer (Digital Health) Openings: 3 roles Location: United Kingdom (Hybrid working) Salary: £90,000£130,000 + benefits Employment Type: Permanent Working Pattern: Hybrid, with flexibility based on client engagement Your ...

you. What You'll Do Technical Delivery (80%) Build end-to-end automation workflows using Python, SQL, Streamlit, and FastAPI Design and implement LLM-powered applications with foundation model APIs (OpenAI, Anthropic Claude, Gemini) Develop complex prompt engineering and agentic workflows Build and optimise RAG pipelines using vector databases … commercial impact What they're Looking For Essential 8-12 years of production experience with advanced Python and SQL Hands-on experience with LLM integration, prompt engineering, and RAG architecture Proven use of AI coding assistants (GitHub Copilot, Claude Code, Cursor) to accelerate development Evidence of applying technology beyond your ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights ...

techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents; Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation; Collaborate with cross-functional teams … Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production. Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued. Strong software engineering fundamentals and proficiency in Python ...

Founding AI Engineer – Early-Stage AI Startup (UK/US) We're partnering with a cutting-edge, VC-backed AI startup that is redefining how businesses leverage artificial intelligence to drive smarter decisions. Their mission ...

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine ...

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 ...

Title: Senior PHP React Developer Salary: Up to £70,000 DOE (more for an exceptional candidate) Location: Cirencester – 2 days onsite/3 days flexible Sector: Wedding venues/hospitality/events (B2C product) Ready ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch ...

interfaces. Key Responsibilities Backend/Real-Time Systems Design, develop, and maintain Python-based LiveKit agents. Integrate LiveKit agents with OpenAI APIs and other LLM/AI services. Build and maintain real-time, event-driven backend services for voice and conversational agents. Containerize and deploy services using Docker on Azure … building API integrations, dashboards, or internal tools. Solid understanding of Docker and cloud deployments (Azure preferred). Experience integrating with OpenAI APIs or other LLM services. Familiarity with real-time, streaming, or event-driven architectures. Proficiency with Git, CI/CD, testing, and modern development workflows. Ability to work independently ...

complex itineraries, leveraging RAG to ensure every recommendation is backed by real-time perks and partnership data. System Orchestration: Design reliable, async environments for LLM tasks, ensuring source traceability and 99%+ data reliability across 600+ travel-specific data points. Product Evolution: Design elegant APIs for our Flutter-based frontend … Mindset: 5+ years of experience building production-grade systems. You enjoy the 0→1 phase and take extreme ownership of the \"how.\" AI/LLM Pragmatism: You've shipped LLM features to production. You understand prompt engineering, structured outputs, and the challenges of non-deterministic systems. Full-Stack Depth: Strong ...

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) We're partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI. The company … think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance. Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate. Develop FastAPI-based microservices optimised for low latency and high reliability. Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking ...