City of London, London, United Kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
KPMG UK
and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience with modern engineering practices Git, version control, unit testing and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Behavioural Attributes and Skills: Strong More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SlideSpeak
cloud services (AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite nitty gritty) Previous experience in fast-paced startup More ❯
that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯
london (city of london), south east england, united kingdom
HCLTech
that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies … using Python and FastAPI to integrate agentic systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini More ❯
answering. · Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem. · Experience with PoC development and iterating quickly based on results. · Familiarity with LangChain, LlamaIndex, or similar agentic frameworks. · Strong debugging, profiling, and optimization skills for AI applications. More ❯
team-oriented, and have a strong ability to learn. Responsibilities Design, develop, and evaluate robust AI agent systems and workflows using large language models [LLMs] and modern frameworks [e.g., LangChain, LangGraph]. Own the full LLM application lifecycle: from prototyping and prompt engineering to deployment, monitoring, and maintenance in production. Architect and implement efficient Retrieval-Augmented Generation [RAG] systems utilizing … with a focus on AI 1+ years of hands-on experience building applications with Large Language Models [LLMs] Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI] Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights & Biases]. Solid understanding of More ❯
london (city of london), south east england, united kingdom
Depixen
team-oriented, and have a strong ability to learn. Responsibilities Design, develop, and evaluate robust AI agent systems and workflows using large language models [LLMs] and modern frameworks [e.g., LangChain, LangGraph]. Own the full LLM application lifecycle: from prototyping and prompt engineering to deployment, monitoring, and maintenance in production. Architect and implement efficient Retrieval-Augmented Generation [RAG] systems utilizing … with a focus on AI 1+ years of hands-on experience building applications with Large Language Models [LLMs] Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI] Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights & Biases]. Solid understanding of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Omnis Partners
understanding of AI/ML techniques including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot Agents and More ❯
in additional languages (e.g., JavaScript, TypeScript, or Java) Experience integrating with NoSQL solutions like MongoDB or Cosmos DB Interest in working with large language models (LLMs) using tools like LangChain Experience with templating systems or design frameworks such as Razor or the GOV.UK Design System More ❯
HR function. You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG. Key Responsibilities: Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation). Design and deploy conversational agents … using LangChain and AutoGen for internal use. Build modular and scalable pipelines using LangGraph for multi-agent orchestration. Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Transparent Technology
compliance sector. As a Solutions Engineer/AI Engineer/LLM Engineer , you'll work directly with clients, design POCs and production-ready solutions , and deliver impact using LLMs, LangChain, Python, and Azure . With 3+ years' experience, excellent communication skills, and a passion for Generative AI , you'll thrive in a hybrid role (2-3 days in London) where … a week. Apply by sending your CV today and Nathan Laidlaw from Transparent Tech will be in touch. Keywords: Solutions Engineer, AI Engineer, AI Consultant, Generative AI, Python, Azure, LangChain, LLMs, Hybrid London More ❯
