101 to 125 of 242 LLM Jobs in London

vector databases (ChromaDB, Pinecone). Deploy solutions on AWS/Azure using Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance with tools like Langsmith . Collaborate in agile teams and mentor junior engineers. What You'll Bring Strong full-stack development experience with modern frameworks … cloud platforms. Hands-on experience with GenAI tools and LLM integration. Familiarity with containerization, Infrastructure as Code, and agile delivery. Excellent communication and stakeholder engagement skills. Desirable: Experience with SQL/NoSQL databases (PostgreSQL, MongoDB). Exposure to GOV.UK Design System or building AI agents. Passion for emerging technologies ...

Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks … proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Machine Learning Engineer (Speech, Voice & AI Systems) London/Hybrid | 0–3 Years Experience Are you fascinated by human speech, voice, and how machines understand, generate, and interact through sound? We’re an early-stage ...

Data Engineer – Modern Data & AI Platforms London (Hybrid 2 days) | Contract/Permanent | 🌍 Global Consulting Environment Build the data foundations behind AI, automation, and real-world impact. We’re hiring a Data Engineer to join ...

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning ...

/LLM Engineer Permanent | Up to £140,000 + benefits London | 5 days on-site A fast-moving, rapidly growing commodity trading firm, and a leading market-maker in energy derivatives, is continuing to scale and is looking for an AI/LLM Engineer to help design and deploy advanced … high-performance financial services environment. Overview As an AI/LLM Engineer, you will be responsible for building, deploying, and optimising AI and large language model solutions that support trading, risk, operations, and decision-making workflows. You will work closely with engineers, traders, and senior stakeholders to translate real business ...

LLM & Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both … solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings ...

GenAI solutions in high-impact operational environments. What youll be doing: Design and build ML models across forecasting, classification, anomaly detection, and GenAI/LLM use cases Lead experimentation cycles: hypothesis, evaluation, iteration, and validation Take successful ML approaches into production, including deployment and monitoring Build and optimise ML pipelines … Develop LLM-powered solutions, including evaluation and observability Apply strong MLOps practices: experiment tracking, versioning, and reproducibility Communicate findings clearly to technical and non-technical stakeholders Mentor junior engineers and contribute to team best practices This role is for you if you have: Strong Python ML experience (e.g. scikit-learn ...

ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation. … solutions. Who You Are Strong proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques. Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

Programming: Python, .NET/C# (Key to have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models … LLM training fundamentals Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert ...

lead the design and productionisation of the company’s core AI systems. You will architect, implement, evaluate, and scale RAG pipelines, agentic workflows, and LLM-based intelligence frameworks, driving real-world impact across financial markets. The role is approximately 80% hands-on and 20% strategic, covering Python engineering, system architecture … model evaluation, while collaborating closely with product and domain experts. Key Responsibilities Build and deploy RAG pipelines, agentic AI workflows, and LLM integration frameworks Own AI evaluation, guardrails, and observability systems Translate financial workflows into scalable AI capabilities Collaborate directly with the CTO and external development teams Help shape ...

We are seeking a senior AI Technical Architect within a secure UK Government environment. You will bridge the gap between high-level stakeholder strategy and hands-on implementation of Generative AI and Large Language Models ...

We are seeking a senior AI Technical Architect within a secure UK Government environment. You will bridge the gap between high-level stakeholder strategy and hands-on implementation of Generative AI and Large Language Models ...

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 ...