1 to 25 of 134 Permanent LLM Jobs in London

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure ...

systems into production. Key Responsibilities: AI System Development Build and optimise AI models and pipelines Implement RAG, agentic workflows, and advanced reasoning techniques Deploy LLM-driven features into real products Full-Stack & Platform Engineering Develop APIs, backend services, data flows, and integration layers Contribute to UI/UX when needed ...

high-quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes ...

delivery, solution design, and client-facing impact. What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying LLM-powered solutions, including Q&A systems, RAG pipelines, and autonomous agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure ...

expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components ...

Applications are reviewed on an ongoing basis, and all candidates must have the right to work in the UK. AI Engineer, Machine Learning Engineer, LLM Engineer, Artificial Intelligence, Python, LangChain, LangGraph, DSPy, AWS, Remote Jobs UK, EdTech Jobs, AI Start-up, Auto Assessment, NLP, Multimodal AI, Evaluation Frameworks, ML Engineering ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

decision-making under ambiguity Node.js, React, and TypeScript Python for AI workflows and automation Microservices and distributed system design Experience with AI/LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM) GCP experience and DevOps best practices (monitoring, observability, CI/CD) PostgreSQL and relational data modelling Event-driven systems ...

Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch LLM evaluation and prompt engineering/optimisation Experience leading or mentoring engineers Strong communication skills with the ability to influence technical and non-technical stakeholders What ...

predicting user engagement, building AI-based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical ...

scale. It is already a mature, revenue-generating platform, but is now entering a significant growth phase as search evolves beyond traditional engines into LLM-driven experiences. AI and automation are embedded into both the product and the way engineering teams operate, creating a genuinely forward-thinking environment. ...

Work with a world-class team at the intersection of Fintech and Private Equity. Modern tech stack: Azure AI Studio, Foundry, and the latest LLM orchestration frameworks. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

willingness to learn fast Experience with FastAPI, Flask or similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers ...

core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect Within days: Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences. Release your first code, we believe in the “You Build It, You Run It” principle Work directly ...

Experience * Strong programming expertise with Python.* Hands on experience working with Large Language Models (LLMs).* Experience with cloud services - AWS preffered* Knowledge of LLM evaluation, testing and prompt optimisation.* Excellent communication skills with the ability to influence stakeholders and work effectively in cross functional teams.* Experience mentoring and developing ...

Mitigation: Advise clients on emerging AI risks such as prompt injection, model poisoning, data leakage, and adversarial attacks. Architecture Design: Recommend secure architectures for LLM-based systems, automation workflows, and decision-support platforms. Policy & Governance: Develop security standards and guidelines for responsible AI use, aligned with emerging regulatory frameworks. Collaboration ...

Getting hands-on with design decisions, code reviews and best practices. Working closely with product and design to turn ideas into real solutions. Evaluating LLM performance, tuning prompts and improving model safety. Helping shape the company's GenAI and agentic AI strategy. Benefits Salary up to £110,000 Hybrid working ...

facing products and internal platforms Establish best practices for experimentation, model governance, performance measurement and ethical AI use Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment with Chambers standards Provide strategic leadership and oversight for Business Intelligence capabilities, including tool implementation ...

with success selling AI-led transformation programs . Deep experience in solution selling rather than product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security ...

hands-on experience building real AI systems, including: Agent frameworks or multi-agent architectures in production environments Long-term memory design and retrieval systems LLM integration via API Integration with collaboration and knowledge tools Permissions, safety, and auditability Delivering working systems, not demos Not suitable for candidates with experience limited ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...