1 to 25 of 136 LLM Jobs in the South East

agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft ...

frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar). Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. Nice to haves: Familiarity ...

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 ...

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 ...

during development), including: agentic frameworks and orchestration tools (eg LangChain, Semantic Kernel, AutoGen, MS Agent Framework) RAG architectures and vector databases foundational model evaluation LLM fine-tuning observability tooling Notebooks/Python for AI/ML workflows The kind of person we're after You think AI-first ...

during development), including: agentic frameworks and orchestration tools (eg LangChain, Semantic Kernel, AutoGen, MS Agent Framework) RAG architectures and vector databases foundational model evaluation LLM fine-tuning observability tooling Notebooks/Python for AI/ML workflows The kind of person we're after You think AI-first ...

collaboration, and accountability for outcomes. The Role and Deliverables Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification. Develop cloud-native microservice or full-stack applications using API-led architectures. Integrate AI capabilities securely and reliably ...

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 (e.g., LangGraph, LangChain, Haystack, or similar). Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure. Secure Architecture: Solid comprehension of secure ...

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 (e.g., LangGraph, LangChain, Haystack, or similar). Modern DevOps: Strong experience with Docker, Git, and cloud infrastructure. Secure Architecture: Solid comprehension of secure ...

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 (e.g., 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 ...

principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing ...

principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing ...

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 ...

real production environments, not just deployed to a hosting service. You'll work with agentic AI frameworks and orchestration tools (LangChain, LlamaIndex, or direct LLM API work) to deliver intelligent automation across the platform. What they're looking for — Someone who leverages AI tools as a core part ...

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. ...

applications, simulation environments, and third-party platforms Develop microservices, wrappers, connectors, and service interfaces to support solution components Support applied AI development including LLM services, speech services, classification models, RAG pipelines, and AI-enabled application features Prepare and maintain demo-ready technical builds for internal and customer-facing demonstrations Support ...

fast-paced, iterative environment. Desirable Experience Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS). Experience integrating AI/LLM-based services into production systems. Familiarity with modern development tooling such as VS Code and AI-assisted coding tools. Why Apply? Work on a genuinely ...

platform companies serving engineering, operations, and security teams.Public speaking and thought leadership experience, including conferences, customer events, or published content.Knowledge of AI/LLM adoption patterns and how AI can improve operational and business decision-making.Why you will love being a DynatracerDynatrace is a leader in unified observability and security.We ...

/ML platforms (MLOps, model lifecycle management, feature store s)AI-enabled data pipelines and intelligent automation framewor ksExposure t o:GenAI/LLM use cases in data (RAG, knowledge graphs, copilot s)AI-driven migration an d code/data modernisation approach es Technical Expert iseStrong hands-on/ ...

/ML platforms (MLOps, model lifecycle management, feature store s)AI-enabled data pipelines and intelligent automation framewor ksExposure t o:GenAI/LLM use cases in data (RAG, knowledge graphs, copilot s)AI-driven migration an d code/data modernisation approach es Technical Expert iseStrong hands-on/ ...

software development and architecture, with a track record of delivering high-quality, scalable software applications, is desirable. Experience working on AI/ML/LLM-based applications is desirable. Beneficial technical skills include: AWS – including certification Terraform Kubernetes Data science/ML tooling – scikit, TensorFlow, hugging face, pytorch ...

/architecture (Azure) Experience working in an Agile environment (Scrum/Kanban) Knowledge and experience of Unit Testing (xUnit, nUnit) Experience integrating AI/LLM capabilities into back-end services (e.g. OpenAI, Azure OpenAI, or similar APIs) Desired Skills/Experience Experience of TDD practices DevOps (CI/CD, Pipelines ...

final architectural decisions). Triage & Fixes: Run root cause analysis on platform service errors and loop in the right engineering teams to resolve them. LLM Setup: Support the AI side by testing model latency, stripping out infrastructure overhead, and handling PTU setup and load testing. Monitoring: Work with ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...