26 to 50 of 82 LLM Jobs in Central London

most exciting opportunities on the market. Required Skills: Strong experience in AI/Machine Learning Engineering (25 years) Hands-on experience building and deploying LLM-based systems Experience with Python and modern AI frameworks Strong understanding of model architecture, evaluation, and optimisation Experience working in a start-up or high ...

improving automated testing practices Participating in peer code reviews and helping maintain high engineering standards Using AI-assisted development tools (including the latest LLM models) as part of day-to-day engineering workflows Tech Stack You’ll primarily be working with: TypeScript (Node.js & React) Monorepo tooling, GitHub, GitHub Actions Jest ...

required. Why join Isaacus? At Isaacus, you'll have the opportunity to: Serve as a founding employee at one of the only legal LLM research labs. Work hands-on with cutting-edge technology alongside other passionate, highly skilled engineers. Receive equity in a fast-growing, VC-backed startup. Learn ...

early-stage startups, influencing product strategy User-problem focused, not purely technical solution-oriented Experience scaling TypeScript codebases Comfortable building AI agents or LLM-powered systems beyond simple prompting High attention to detail and pride in engineering craft Comfortable operating in ambiguity and moving quickly Bonus points for: Academic ...

Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform Interested? If you feel you have the skills and qualities ...

heavy products 👉 Exposure to data pipelines/ETL ➕ Nice to have Azure/cloud experience IaC (Terraform/OpenTofu) Experience with AI tools or LLM integrations ...

take ownership of problems Enjoy figuring things out without being told exactly what to do Technically you’re comfortable with: Python or TypeScript LLM APIs (OpenAI, Anthropic, etc.) APIs and data pipelines Automation tools and integrations You don’t need to know everything. You just need to learn extremely fast. ...

linguistic analysis on large multilingual datasets Develop annotation guidelines and evaluation frameworks for language AI systems Support research across machine translation, speech technologies and LLM-based translation Conduct linguistic research, including typology, sociolinguistics and corpus analysis Collaborate closely with research scientists, engineers and language experts Requirements Third level qualification ...

fast, with users in mind You’ll work directly on: Core agent loops (prompting, tool selection, model choice, memory & context) High-performance, real-time LLM-powered UX Making autonomous systems reliable enough for daily, mission-critical work As a Founding Engineer, you’ll wear many hats: Backend: Python Frontend: TypeScript ...

design, operational readiness. Databases: Postgres, data modeling, migrations, query optimization. SaaS authentication & permissions: OIDC/OAuth, JWT, RBAC/ABAC. Applied AI experience: LLM integration, tool/function calling, streaming data, vector databases, agentic state. It’s a fast paced, high-trust, high-autonomy environment: remote first, no mandated office ...

burden of obesity, diabetes, and cardiovascular disease at scale. You’d lead complex feature work on a high-traffic app, integrate AI/LLM capabilities (including conversational experiences) to support behaviour change alongside medication, and help shape the engineering culture in a senior-heavy, high-agency team. FAQ's Salary ...

engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment … design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready solutions, working closely with other engineers ...

intelligent automation. Technology Environment The platform sits at the intersection of AI systems, automation, and scalable platform engineering , typically involving technologies such as: Large language model–driven systems AI-assisted automation and orchestration Intelligent workflow systems Data pipelines and evaluation frameworks Distributed platform architectures What We’re Looking For Core ...

want to build production AI systems that major enterprises actually rely on? Have you taken LLM applications beyond prototypes and into real-world deployment? Are you ready to work with cutting-edge AI tooling while solving complex enterprise problems? A global AI and data consultancy is hiring a Senior … functional delivery squads alongside data scientists, engineers, and platform specialists. Role Summary This is a hands-on engineering role focused on designing and deploying LLM-powered systems in production environments. Engineers work across multiple enterprise engagements, typically lasting around nine months, building AI applications that solve real operational problems. ...

Job Title: AI Engineer/Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer/Machine ...

happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering … highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms ...

excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work … Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state ...

goes beyond model experimentation! You will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection … modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered systems via AWS Bedrock (including Claude integration) Build RAG pipelines combining structured and unstructured data Develop evaluation frameworks for accuracy, bias, and robustness Apply best ...

Generative AI innovation . This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions , including LLM-powered applications, NLP pipelines, and emerging agentic systems . You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful … BigQuery ML or similar platforms Preferred Experience Background in financial services or regulated environments Experience with fraud, risk, or customer analytics Exposure to LLM applications or agentic AI systems Mentoring or leadership experience ...

We are looking for an experienced Service Operations Engineer . Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system ...

solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory … role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing Designing and developing NLP and LLM-driven solutions for complex, real-world use cases Fine-tuning and adapting foundation models using domain-specific data Building evaluation frameworks, prompt testing tools and data ...

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 ...

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 ...