1 to 25 of 672 LLM Jobs in London

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, and Llama ...

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

strategic AI/ML initiatives. Key Tasks Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads. Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance. Build and maintain feature stores, vector/embedding stores, and core data assets for ML. Develop ...

optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment ...

optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment ...

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 ...

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 ...

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 ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

environment. Extensive, hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform), Docker - containerisation. An understanding of kubernetes. Understanding of LLM architectures, inference serving optimization techniques (quantisation, caching), and MLOps tooling (e.g., MLFlow, Kubeflow). Proven experience designing, implementing, and optimising complex RAG pipelines using vector ...

within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

energy consumption, etc.; Build and evaluate models using appropriate techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn ...

energy consumption, etc.; Build and evaluate models using appropriate techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn ...

LLMs, NLP, multimodal — and turn them into secure, scalable and high-performing solutions that automate intelligence and enhance human judgement. What you’ll build LLM-powered research copilots and knowledge automation tools NLP and retrieval-augmented generation (RAG) pipelines ML systems deployed with robust CI/CD and MLOps principles ...

Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. ...

Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. ...

mindset and curiosity for learning. Nice to haves: Front-end development (Typescript, React, NextJS...) or full-stack exposure Built or orchestrated multi-step LLM or agentic workflows Experience with financial workflows (credit, investment, ESG, risk) Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability) Experience ...

mindset and curiosity for learning. Nice to haves: Front-end development (Typescript, React, NextJS...) or full-stack exposure Built or orchestrated multi-step LLM or agentic workflows Experience with financial workflows (credit, investment, ESG, risk) Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability) Experience ...

quality AI solutions Essential Skills & Experience 2-6 years of Python development experience Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs Knowledge of prompt engineering, vector databases (Pinecone, ChromaDB, FAISS), and model fine-tuning Cloud deployment experience with Docker/Kubernetes Understanding of transformer architectures ...

roadmap and tooling choices going forward You Have: Strong Python skills and real-world ML engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction ...

roadmap and tooling choices going forward You Have: Strong Python skills and real-world ML engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Outside IR35 ...