1 to 25 of 429 Remote/Hybrid LLM Jobs in 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 ...

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 ...

Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING ...

platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based ...

vector databases (e.g. Amazon OpenSearch, Aurora pgvector, Amazon Kendra). Prompt engineering, model evaluation, and techniques for improving the accuracy, safety and cost of LLM applications. Building agentic workflows or tool-using AI systems. Machine learning and model deployment with Amazon SageMaker, including MLOps practices. Data engineering and visualisation using ...

vector databases (e.g. Amazon OpenSearch, Aurora pgvector, Amazon Kendra). Prompt engineering, model evaluation, and techniques for improving the accuracy, safety and cost of LLM applications. Building agentic workflows or tool-using AI systems. Machine learning and model deployment with Amazon SageMaker, including MLOps practices. Data engineering and visualisation using ...

framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate or pgvector, RAG patterns, fine-tuning workflows) MLOps platforms (MLflow, Kubeflow, Vertex ...

Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems ...

/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 ...

/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 ...

/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 ...

resilience. We INNOVATE with agentic and generative AI solutions– You will design, deliver and scale solutions for advanced AI systems, including agentic workflows, LLM-powered applications, and decision intelligence platforms. We AUTOMATE for speed and reliability – You will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices ...

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional ...

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional ...

Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads Experience with GPU infrastructure, distributed training or high-performance compute environments Familiarity with feature stores, model registries and automated ...

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 ...

record of shipping multi-agent or agentic AI frameworks into live production environments. Core Software Engineering: Exceptional Python skills alongside hands-on experience with LLM orchestration tools (eg, LangGraph, LangChain, Haystack, or similar). Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure. Secure Architecture: Solid comprehension of secure ...

Enhanced Engineering: Agentic and AI-assisted development as a daily practice (Claude, GitHub Copilot and similar), plus awareness of AI/ML and LLM integration. We give every engineer Claude and ChatGPT seats and expect them to be used hard and used well. Collaboration & Communication Work closely with Product Managers ...

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 ...

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 ...

following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD/Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility ...

Models (LLMs), delivering AI solutions within regulated environments.* Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch.* Experience with prompt engineering and LLM evaluation.* Strong stakeholder management and communication skills. Why Join? * Work on enterprise-scale AI products.* Influence Generative AI strategy within a leading global financial institution. ...