26 to 50 of 227 LLM Jobs in the City of London

cross-functional teams in commercial, R&D, medical, or supply chain contexts. Excellent communication, stakeholder management, and program governance skills. Knowledge of Generative AI, LLM integration, prompt engineering, and responsible AI frameworks. Familiarity with GxP systems, clinical data standards, PV requirements, and regulatory submissions. ...

firm’s emerging AI ecosystem To succeed in this role, you will have: Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers) Excellent understanding ...

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 ...

product environments. A knack for translating business needs into clear, detailed requirements and user stories. Hands-on experience with AI/ML or LLM-based solutions (think: generative assistants, recommendation engines, automation tools). Strong analytical chops and a love for problem-solving. Top-notch communication skills—you can talk ...

with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams ...

with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams ...

small senior teams, directly with clients, shaping solutions from first principles through deployment. What You’ll Do Build & Own AI Systems Design and ship LLM applications using modern orchestration, prompt frameworks, and evaluation loops Build multi-agent systems (planning, tool use, safety constraints, monitoring) Implement retrieval and vector-based architectures ...

people with experience with the following: Early stage AI startup experience, ideally zero to one Developed, trained and deployed NLP models, including pre LLM approaches such as BERT Strong experience with modern LLMs and fine tuning, including OpenAI GPT, Anthropic Claude and LLaMA Cloud and infrastructure tools: Go, Kubernetes ...

major cloud provider. Strong Python skills (async, typing, production code practices) alongside practical TypeScript experience for bot or workflow integrations. Hands-on experience with LLM or conversational-AI systems , including model APIs, RAG patterns, or agent frameworks. Solid Kubernetes and Docker skills , with at least one real production service shipped ...

role where you’ll work with cutting-edge tools and frameworks to deliver next-generation solutions. Key Responsibilities Design, fine-tune, and implement LLM-based systems for real-world applications Work with frameworks like LangChain, Hugging Face , and vector databases Collaborate with a remote, agile team in a fast-paced ...

core product features across the stack from cloud infrastructure to prompting to UX, including Python backend, Next.js with TypeScript frontend, PostgreSQL, and Azure-hosted LLM workloads with CI/CD pipelines via GitHub Actions and IaC such as Bicep Work directly with litigators and knowledge workers to understand how lawyers ...

generate actionable business insights Work across the full data lifecycle, from discovery and prototyping through to deployment and maintenance Contribute to GenAI/LLM-based use cases, explaining solutions to both technical and non-technical audiences Write clean, well-documented, and testable code in complex environments Engage in technical discussions ...

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 ...

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 ...

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 ...

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 ...

data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools ...

clear, actionable insights Owning the full data science lifecycle, from initial exploration and prototyping through to deployment and ongoing support Contributing to GenAI/LLM-driven use cases and clearly articulating outcomes to technical and non-technical audiences Writing clean, maintainable, and well-documented code within complex enterprise systems Taking ...

TypeScript, Go, Rust, or similar technologies. Design and ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power ...

challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies ...

good” looks like, ensure diversity/coverage, and close the gap between sim and real. Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, ...) without breaking existing ones. Build and maintain continuous ...

pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines LLM-powered features RAG pipelines (embedding models, chunking strategies, semantic search) Document extraction/processing (PDF parsing, OCR, agentic pipelines) Clinical content ingestion workflows Evaluation frameworks ...

JavaScript, TypeScript, React, D3.js, SVG, CSS. ● Database: SQL (SQL Server, MySQL, Oracle), Data Modelling. ● Infrastructure: Cloud Platforms (Azure, AWS), Git. ● Advanced Topics: AI/LLM (Large Language Models), Small Language Models, Fine Tuning, Security, Design Patterns. ...

Skills & experience Required 5+ years of experience in machine learning, data science, or AI system design. Proven track record of deploying ML models or LLM-based applications to production. Strong programming fundamentals, including data structures and algorithms. Hands-on experience with transformers, embeddings, and vector databases. Experience running AI workloads ...

monitoring and audit logging. Skills, Knowledge & Experience ... Experience with AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) Familiarity with Azure AI Foundry and LLM compliance testing frameworks Prompt injection testing and AI behaviour anomaly detection Bias, fairness, and explainability metrics for LLMs Audit trail generation, logging, and compliance reporting ...