1 to 25 of 159 LLM Jobs in Central London

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale • Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration • Make key technical decisions while remaining accountable ...

know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work and real-world challenges from ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

with a focus on outcomes rather than models alone Insurance, reinsurance, financial services, or other regulated industry experience is desirable Experience with Generative AI, LLM applications, agentic systems Exposure to mentoring or coaching other data scientists and technical practitioners Why Join Howden? At Howden, we are building data ...

Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model ...

frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript ...

Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack Hands-on experience with conversational and generative AI, Amazon Lex plus LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling Strong TypeScript/Node.js and Python; production React experience; solid ...

Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write ...

software development methodologies and data modeling principles. Deep expertise in Python and Java. Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Experience with Kubernetes (EKS) and cloud-native architectures. Proven track record building scalable backend systems and APIs. Experience mentoring ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non‐deterministic. Experienced with cloud ...

risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

state of the feature at any point. Shape platform architecture with an architectural lens, contributing to long-term decisions about how AI tooling, LLM integrations, and human-in-the-loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability ...

that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role ...

Foundry and wider Microsoft AI technologies. You dont need to be an AI or ML Engineer. Some practical experience using Copilot or another LLM within development, debugging, code validation or documentation would be useful. Youll have scope to develop that experience alongside your core Data Engineering work. Package and working ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need … Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents ...

python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills ...

Foundry, and wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity ...

mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations , making use of the Grafana Stack (Prometheus, Loki, Tempo) Develop integrations and services that communicate with Google Services. Working closely with Data Scientists ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

behalf of banks, under real SLAs and bank-grade security. We're AI-native in how we build, not just what we sell: LLM evals score 100% of our conversations, adversarial agents attack every change before it reaches production, and our CI/CD runs its own AI agents : reviewing ...

part of a rapidly scaling Legal AI business Company is actively hiring and expanding its engineering team Work directly on production Generative AI and LLM applications Hands-on exposure to RAG, AI Agents and emerging AI technologies Significant technical ownership and influence Opportunity to contribute to AI architecture and engineering ...

computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk ...