1 to 25 of 105 Remote/Hybrid LLM Jobs in the City of London

support business development conversations on the topic Desirable Skills: While not essential, experience in the following areas will be highly regarded: LLM Frameworks: Familiarity with orchestration tools like LangChain . Advanced AI Systems: Experience with vector databases , and building Agentic AI systems. Core Data Science: Strong knowledge of Classical Machine ...

support business development conversations on the topic Desirable Skills: While not essential, experience in the following areas will be highly regarded: LLM Frameworks: Familiarity with orchestration tools like LangChain . Advanced AI Systems: Experience with vector databases , and building Agentic AI systems. Core Data Science: Strong knowledge of Classical Machine ...

/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based ...

production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have: Experience managing a team, as this role involves leading ...

assistants, recommendation systems, summarisation tools, and underwriting models Work across Python, SQL, cloud platforms, APIs, and modern MLOps practices Build and deploy solutions using LLM frameworks, RAG architectures, and agent-based systems Partner with stakeholders to translate business problems into scalable AI solutions Contribute to best practices in governance, monitoring ...

Connect, JWT, and secure API design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic ...

advantageous) AWS Terraform Ansible Python Kubernetes (EKS) Docker Jenkins GitLab LinuxCloud Networking IAM & Security Controls Cloud Storage & Databases Monitoring & Observability Tooling AI/LLM/LLMOps Platform Technologies What We're Looking For Strong experience designing and supporting AWS-based infrastructure. Experience with Infrastructure as Code and automation tooling. Strong ...

advantageous) AWS Terraform Ansible Python Kubernetes (EKS) Docker Jenkins GitLab LinuxCloud Networking IAM & Security Controls Cloud Storage & Databases Monitoring & Observability Tooling AI/LLM/LLMOps Platform Technologies What We're Looking For Strong experience designing and supporting AWS-based infrastructure. Experience with Infrastructure as Code and automation tooling. Strong ...

monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature … Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience with RAG, LLM Orchestration and MCP Experience in early-stage startups What We Offer Impact : Direct influence on product direction and technical decisions Growth : Opportunity to work across ...

degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical discipline. Nice to Have Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, or Physics. Experience with AI agents, post-training, reinforcement learning, or large-scale ...

degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical discipline. Nice to Have Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, or Physics. Experience with AI agents, post-training, reinforcement learning, or large-scale ...

technical experience as a Developer or Engineer Financial product/traded product knowledge is desirable Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good work from home options available ...

degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline (or equivalent practical experience). Preferred Experience Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, Physics, or a related field. Research or industry experience developing AI agents ...

SaaS platforms Strong PostgreSQL and database design knowledge Exposure to distributed systems, event-driven architectures or messaging technologies Interest or experience working with AI, LLM-powered products or modern AI platforms Why join? Join a market-leading business operating at the forefront of Generative AI Work on innovative products helping ...

SaaS platforms Strong PostgreSQL and database design knowledge Exposure to distributed systems, event-driven architectures or messaging technologies Interest or experience working with AI, LLM-powered products or modern AI platforms Why join? 💪 Join a market-leading business operating at the forefront of Generative AI 🚀 Work on innovative products helping ...

/CD, monitoring and orchestration frameworks (e.g. Kubeflow, Flyte, MLflow). Good knowledge of Docker and Kubernetes for containerizing AI workloads. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model deployment formats (ONNX, .safetensors, Hugging Face Model Hub). Experience in sizing GPU infrastructures for LLM model inference … training (memory, throughput, hardware categories ranging from A10 to H200). Experience in evaluating and benchmarking LLM performance (accuracy, latency, throughput). Practical skills in Python and SQL programming, as well as knowledge of ML libraries and frameworks such as PyTorch, TensorFlow and Hugging Face. Bachelor's or Master ...

/CD, monitoring and orchestration frameworks (e.g. Kubeflow, Flyte, MLflow). Good knowledge of Docker and Kubernetes for containerizing AI workloads. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model deployment formats (ONNX, .safetensors, Hugging Face Model Hub). Experience in sizing GPU infrastructures for LLM model inference … training (memory, throughput, hardware categories ranging from A10 to H200). Experience in evaluating and benchmarking LLM performance (accuracy, latency, throughput). Practical skills in Python and SQL programming, as well as knowledge of ML libraries and frameworks such as PyTorch, TensorFlow and Hugging Face. Bachelor's or Master ...

barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform ...

barrier: Daily, sophisticated use of AI coding tools (Claude Code, Devin, Cursor/Windsurf, Copilot) with informed views on where each earns its keep. LLM application engineering — agent orchestration, RAG, structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform ...

founder. - AI-native daily workflow: Claude Code, Cursor, Codex, or similar tools are an established part of how you work. - You've integrated LLM APIs (Anthropic Claude, OpenAI, or similar) hands-on, ideally in a customer-facing or product context. - Native or near-native English. The vast majority of customer ...

founder. - AI-native daily workflow: Claude Code, Cursor, Codex, or similar tools are an established part of how you work. - You've integrated LLM APIs (Anthropic Claude, OpenAI, or similar) hands-on, ideally in a customer-facing or product context. - Native or near-native English. The vast majority of customer ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...

stakeholders to move AI solutions from experimentation into reliable production use. Key Duties and Responsibilities Design, develop, deploy, and optimise machine learning models and LLM-based solutions using Azure Databricks, Azure ML, or Azure AI Foundry Build and maintain scalable LLM-powered applications, ensuring performance, reliability, and cost efficiency … machine learning models in enterprise cloud environments Experience using MLflow for experiment tracking, model lifecycle management, and versioning of both traditional ML models and LLM-based solutions Strong understanding of LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using ...

AI Engineer Remote (Company based in London, UK) AI SaaS | Generative AI | Productivity Platforms For one of our clients, a fast-growing AI technology scale-up based in London, we are looking for an AI ...