1 to 25 of 145 LLM Jobs in Central London

architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama ...

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 ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

within finance, fintech, or consulting , especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance , and data privacy. Experience building or deploying LLM-powered systems , agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines ...

Required experience: Previously built and deployed multi-agent systems end-to-end Strong hands-on expertise with LangGraph Experience with knowledge graphs, RAG and LLM tool orchestration Proven software engineering fundamentals (Python preferred) Solid MLOps grounding: Kubernetes, CI/CD, Docker, cloud platforms (GCP/AWS/Azure) Comfortable presenting ...

from you. Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time Job Functions Analyst Skills Large Language Models (LLM ...

Python, 4+ years Django, 3+ years Experience in the following areas would be a benefit: React, Postgres AWS SQL Computer Science degree Team Lead LLM Soft skills Great communication skills Proactive mindset Problem solving Approximate salary range - £55,000 - £60,000 per year - depending on experience. If you prefer ...

Python, 4+ years Django, 3+ years Experience in the following areas would be a benefit: React, Postgres AWS SQL Computer Science degree Team Lead LLM Soft skills Great communication skills Proactive mindset Problem solving Approximate salary range - £55,000 - £60,000 per year - depending on experience. If you prefer ...

leadership to engineering teams, ensuring delivery quality and driving adoption of new methods and tooling. Stay ahead of frontier innovation , experimenting with the latest LLM, orchestration, and agent-design research. What You Bring Required Advanced degree in AI, Computer Science, or similar (MSc/PhD). Several years of experience ...

Design and build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely ...

Lead AI Engineer Tech Focus: Microsoft Azure AI Stack/LLM/Agent Orchestration/Data Science Salary: £90,000 – £100,000 + 20% Bonus + 20% Employer Pension Contribution Location: London – Hybrid This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation ...

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 ...

prompt engineering, evaluation, and safety guardrails Ownership mindset — you want to build and shape the system, not just take tickets Bonus Experience with LLM fine-tuning or instruction tuning Background in edtech, assessment, apprenticeship systems, or LMS tooling Previous startup or founding-engineer experience Familiarity with SOC2/ISO data ...

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 ...

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 ...

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 ...

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 ...

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 ...

DUBAI BASED ROLE. Relocation would be required but with highly competitive, tax free salary package. Company Profil e: Property Finder is the leading digital real estate platform in the Middle East and North Africa region. ...