1 to 25 of 59 Permanent LLM Jobs in the City of London

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 ...

senior AI engineer with 3+ years in data science or software engineering, including substantial AI experience. Strong Python skills and experience with LLM APIs (OpenAI, Anthropic, or similar). Expertise in GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face Transformers). Hands-on experience with RAG pipelines, vector databases (Pinecone, FAISS ...

REST APIs . Strong experience around Agentic Ai experience leading or mentoring Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, Haystack) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). Expertise in prompt engineering , fine-tuning techniques, and vector databases (Pinecone, FAISS, ChromaDB). Strong understanding of transformer architectures ...

stack and help define the engineering culture of a rapidly scaling startup. Requirements Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving ...

impact. What you’ll do Design and scale Python backend services and APIs Build secure, high-performance, multi-tenant cloud platforms Develop and deploy LLM-powered and agentic AI workflows Collaborate closely with product, data science, and UX teams Work hands-on with AWS, CI/CD pipelines, and infrastructure ...

ability to write production-quality code with proper testing and documentation · Strong problem-solving skills and ability to work independently Preferred Qualifications · Experience integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock) · Familiarity with AI-assisted development tools · Knowledge of information security standards and compliance frameworks · Experience in early-stage startup environments ...

operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3-6+ years building production backends/services ...

trust, shaping both enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings ...

scalable API platforms. Key Responsibilities Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics. Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap. Lead, mentor, and scale a high-performing engineering team ...

hard technical problems with real enterprise impact. Nice to Have Experience in agentic or autonomous decision-making systems (not required). Prior work on LLM alignment, grounding, tool use, or planning. Experience with enterprise data environments, knowledge graphs, or retrieval systems. Hands-on experience with large-scale training, distributed compute ...

legal environment. This is a deeply hands-on engineering role focused on shipping reliable systems used by real customers. Key responsibilities Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows Design and maintain RAG pipelines over large, complex legal and technical corpora Own systems from prototype through ...

travel to customer offices globally (max 50% time normally, but may occasionally exceed 50% if required). Nice-to-Have: • Built agentic workflows/LLM tool-use. • Experience with MLFlow, Arize, LangFuse, or other MLOps tools. • Experience with deploying ML models on SageMaker, KServe, or similar. Why Plexe? • Hard problems ...

high functioning relaxed team that will significantly contribute to the digital transformation Skills, Knowledge & Experience Test automation frameworks (e.g., PyTest, Postman, Playwright, k6) LLM behaviour testing, including misuse and injection detection CI/CD integration with Azure DevOps for continuous testing Python/YAML scripting for scenario and agent validation ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

design Lead, a globally dispersed team Experience with AWS, Databricks, DBT, PySpark, React, JavaScript Terraform. Experience with AI/ML/Gen AI/LLM What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your ...

metric (share it). Orchestration (Python/TS), n8n/Make, webhooks, Vercel/AWS. Comfortable moving discovery → scoped plan → shipped MVP. Depth with LLM APIs, retrieval (embeddings/vector DB), tools/agents, and evals. Excellent leadership and project management abilities Strong background in Computer Science and Data Science ...

understanding of backend architectures, REST/GraphQL APIs, and data modelling Experience with containerisation (Docker) and cloud platforms ( GCP , AWS , or similar) Familiarity with LLM or AI APIs Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) Practical experience with databases (SQL/NoSQL) Strong foundation in software design principles ...

networks interact Comfortable taking technical ownership and influencing standards Clear communicator with a delivery-focused mindset Experience using modern developer tools (including AI/LLM tooling) is a bonus, not a requirement Working environment: Hybrid working with flexibility — no expectation to be in the office every day Modern, well-located ...

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of ...

experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem … senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines ...

complex TypeScript codebases Are comfortable working end-to-end across product and engineering Actively experiment with and refine AI-assisted development workflows Have built LLM-powered systems or AI agents in production environments Tech Stack TypeScript monorepo React, tRPC, Tailwind Event-driven workflows and background jobs Deployed on Google Cloud ...

LLMs, this role is for you. In this role, you’ll: 🔧 Build and ship high-impact software 🧠 Work on AI/LLM-powered automation tools used in production 🏗️ Help shape scalable systems and infrastructure 🌍 Work collectively across teams to push the product forward 💻 Be working end-to-end on both ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

interfaces for human–agent collaboration. Rapidly prototype and iterate with engineers and designers to discover the right interaction models for working productively with agents. LLM Agentic Workflows: Build a system of agents — tool use, memory, retries, context updates, feedback loops, and MCP integration. System Design & Technical Strategy: Partner directly with ...

solutions Consultants, GenAI, LLM & Agentic Engineering Remote First/Hybrid, some trips to client offices and HQ(London) 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 ...