201 to 225 of 456 LLM Jobs in the South East

practical, scalable and deliver clear commercial and customer impact. Key Responsibilities Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots. Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies. Fine-tuning, evaluating and deploying language models, with … Strong experience building applied AI or machine learning systems in production environments. Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries). Practical experience with LLMs, RAG architectures, embeddings and transformers. Experience deploying models using cloud infrastructure and working with microservices ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

selection, deployment, and prompt engineering Agentic workflow development, ideally using AWS AgentCore Multi-agent orchestration frameworks such as AWS Strands Agents, LangGraph, or similar LLM integration and fine-tuning (Claude, GPT-4, or equivalent) Strong prompt engineering skills, including chain-of-thought reasoning RAG & Knowledge Systems Implementation of Retrieval-Augmented … CockroachDB, Pinecone, or similar Embedding model optimisation and semantic search Context window management and chunking strategies MCP & Tool Integration Model Context Protocol (MCP) implementation LLM tool calling and API design AWS Lambda integration with agents AI Safety & Evaluation Guardrail implementation (hallucination detection, toxicity filtering) Response evaluation frameworks and A/ ...

About Sahaj Sahaj Software is an artisanal software engineering firm built on the values of trust, respect, curiosity, and craftsmanship, and delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is ...

We are looking for a motivated and enthusiastic individual to join our team as an AI & Automations IT Apprentice to support internal and client projects that use automation, scripting, and AI technologies. Role Assist in ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

impactful. This is not a prototyping role — you'll ship well-engineered, production-ready systems that directly impact customers. Responsibilities: Designing and building LLM-powered agentic systems that automate and augment law firm workflows. Integrating external APIs and internal data pipelines into intelligent, maintainable systems. Deploying AI-driven features … emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems or LLM-powered automation (e.g. tool-augmented LLMs, RAG workflows, agents for complex workflows). If this sounds like you, reach ...

About Euphoric Euphoric builds AI-first employee benefits administration software for the world's largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out ...

Lead Engineer – Agentic AI Systems Start-up-style engineering team inside a global consulting powerhouse Peer group of world-class AI engineers and researchers Own and build production-grade multi-agent systems end-to-end ...

developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows. As AI Engineer you will: Architect and implement the LLM, agentic and RAG modules that power the platform … Fine tune and evaluate LLMs and SLMs for enterprise use cases such as knowledge automation, summarisation, classification, conversational agents and multi-step reasoning. Deploy LLM-based applications and agentic workflows at scale, with practical awareness of compute cost modelling, latency trade-offs, container orchestration and distributed systems patterns. We want ...

. Production monitoring: hallucination/guardrail incidents, drift, telemetry dashboards Required Skills & Experience: Python for application glue; Fast API for inference/middleware services. LLM integration patterns (prompt engineering, RAG, tool-use/agents, function calling). Evaluation & safety: automated prompt/response evals, LLM-as-a-judge, red-teaming ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

They are expanding their AI capability and are hiring a Senior AI Engineer to take the lead in developing and productionising advanced NLP and LLM-based solutions. The Senior AI Engineer will be responsible for designing, building and deploying AI systems, with a focus on text processing, NLP and LLMs. … Data Engineering teams, contributing to the wider technical strategy and ensuring models are reliable, maintainable and scalable. Key Responsibilities Design and develop NLP and LLM-based systems for internal products and workflows. Evaluate new models, techniques and approaches, recommending what should be adopted. Fine-tune and adapt foundation models using ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

Define product requirements, user stories, acceptance criteria, and success metrics for AI features. Oversee the life cycle of AI models (classification, extraction, summarization, RAG, LLM fine-tuning, etc.), including data sources, training needs, evaluation standards, and human-in-the-loop workflows. Ensure model performance meets legal-grade quality, reliability … with the ability to collaborate effectively with lawyers, technical teams, and business stakeholders. Experience working in fast-paced, iterative product environments. Preferred Qualifications J.D., LLM, or formal legal training (highly valued but not required). Experience with contract analysis tools, e-discovery platforms, CLM systems, or legal research technologies. Familiarity ...