201 to 225 of 351 LLM Jobs in London

with a high degree of independence and responsibility. Key Responsibilities Lead the design, development, and optimisation of AI models , including transformer‐based architectures and LLM‐driven systems. Build and assess agentic AI workflows , retrieval‐augmented pipelines, and advanced evaluation frameworks. Conduct rigorous model benchmarking, statistical analysis, and robustness testing … Suits A senior‐level AI/ML specialist who wants to apply cutting‐edge AI in meaningful real‐world contexts. An expert comfortable taking LLM‐based projects from concept through evaluation to delivery. Contractors seeking a forward‐planned assignment with a delayed start date. ...

developing conversational analytics platforms that allow organisations to interact with complex datasets through natural language. Their technology combines traditional NLP systems with modern LLM capabilities to create intelligent data assistants and private enterprise language models. The company is expanding its data science team to support the next stage of product … conversational analytics, experimentation pipelines, and domain-specific models for financial data. Key Responsibilities • Build and optimise machine learning models for conversational analytics products • Develop LLM-driven systems including fine-tuning and prompt pipelines • Apply statistical modelling and quantitative analysis to financial datasets • Conduct feature engineering, model evaluation, and experimentation • Work ...

scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable … scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale ...

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 ...

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 ...

experimentation or one-off GenAI demos. It's a chance to build the core platform , tooling, and infrastructure that enables teams to deploy LLM-powered products, agentic workflows, and retrieval systems in a way that's scalable, secure, and production-ready . You'll be responsible for: Building the core … platform for LLM-powered products and internal AI tooling Creating the APIs, services, and developer tooling that make AI easy to adopt across teams Designing and operating agent-based and multi-model workflows Building and scaling RAG pipelines, retrieval services, and vector search infrastructure Improving the reliability , latency, observability ...

driven automation and orchestration programme for a major enterprise client. They require an experienced AI Engineer/Senior Python Engineer with strong microservices experience, LLM integration and AWS serverless expertise to support the build of an intelligent prompt‐orchestration platform powered by AWS Bedrock. Key Responsibilities Develop and maintain Python … microservices, serverless functions (AWS Lambda), backend APIs and Python packages Build LLM‐powered agents, orchestration flows and MCP servers using AWS Bedrock Analyse logs, traces and evaluation outputs from a live AI product environment Design and maintain REST APIs interacting with AWS services including OpenSearch, DynamoDB, Kendra and S3 Build ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

transformation. They are looking for a Software Engineer who is as comfortable designing cloud-native architecture as they are exploring what a well-placed LLM can actually do in production. You will work directly with business stakeholders and senior engineers to build AI-powered systems that replace legacy processes … ends. What You'll Do Design and build cloud-native services in TypeScript and Python on AWS, with real architectural ownership Develop and deploy LLM-based agents, RAG pipelines, and AI workflows that solve genuine business problems Lead prototype demonstrations and translate complex technical decisions for non-technical stakeholders Produce ...

role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight … latest tools, processes Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third ...

role: Build internal AI-powered tools, systems and agents to streamline sourcing, research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight … processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with RAG methodologies, embeddings, and vector databases (Pinecone, Weaviate, pgvector) Robust API integration experience, including working with third ...

Founding Engineer (AI) Location: Remote first (global, UK timezone) Compensation: Up to £120,000 + significant equity Type: Full-time What is DeepFlow? DeepFlow is the hyperscaling platform. We launch and scale AI-native businesses. ...

Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ ...

For additional information, please review .***Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our ...

Do you want to build GenAI solutions at speed, not get stuck in long delivery cycles? Have you worked on AI PoCs, MVPs or demos that needed to show value fast? Are you excited by ...

AI Engineer Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is ...

Senior AI Engineer London - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You ...

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R0043783is a technology company. We believe the camera presents the greatest opportunity to improve the ...

Senior Java Full Stack Developer Location: London (Hybrid - minimum 3 days onsite) Contract: 6 months Rate: Market rate (Inside IR35) The Role We are looking for a Senior Java Full Stack Developer to support the ...

Ideas | People | Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's ...

scalable products and deep technical support. The Role • Build, train, and optimise machine learning models used by financial services clients and quant teams. • Develop LLM‐based solutions including finetuning, conversational agents, and NLP‐to‐LLM pipelines. • Contribute to proprietary data assistance products designed for analytical workflows. • Work across Python‐based ...

reliability and consistency of AI-powered interactions across our data, analytics and market solutions. You will establish the frameworks, processes and standards that evaluate LLM behaviour, MCP tool usage, and natural-language output quality across multiple AI stacks—ensuring our customers receive precise, trustworthy, and explainable results.**Key Responsibilities & Accountabilities …/test automation**, or **ML evaluation frameworks** with experience designing structured test systems at scale. Strong knowledge of **LLMs**, prompt engineering, and tool-augmented LLM workflows. Experience with test automation, scenario design, evaluation metrics and quality frameworks in complex systems.Familiarity with **financial data, analytics workflows, or MCP-style interoperability**. ...

experimentation or one-off GenAI demos. It’s a chance to build the core platform, tooling, and infrastructure that enables teams to deploy LLM-powered products, agentic workflows, and retrieval systems in a way that’s scalable, secure, and production-ready. You’ll be responsible for: Building the core … platform for LLM-powered products and internal AI tooling Creating the APIs, services, and developer tooling that make AI easy to adopt across teams Designing and operating agent-based and multi-model workflows Building and scaling RAG pipelines , retrieval services, and vector search infrastructure Improving the reliability, latency, observability ...

Solution Engineer (GenAI/LLM/Pre-Sales) Were hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales/solution engineering role where youll design, prototype and demonstrate ...

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they ...