1 to 25 of 167 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 ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert‐level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language ...

engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly with clients to understand requirements, shape solutions, and translate ...

experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, modelselectionand model validation Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation Experience with NLP techniques such as text classification, entity extraction, semantic similarity,summarisationand ...

experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, modelselectionand model validation Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation Experience with NLP techniques such as text classification, entity extraction, semantic similarity,summarisationand ...

make myself available outside of normal working hours to suit your schedule. KEY SKILLS AI Software Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/ ...

digital future of fintech transactions and ensuring a reliability of 99.9999% and beyond. The Work itself Build Agentic Solutions using world’s most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations to a production standard. Work directly with clients to understand requirements, shape solutions and translate ...

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

record of developing data science solutions using NLP and Generative AI techniques, including text classification, summarisation, entity extraction, embeddings, retrieval-augmented generation (RAG) and LLM-enabled workflows Strong programming expertise in SQL, Python and PySpark, applying software engineering best practices such as code readability, version control, testing and reproducibility Experience ...

calling and workflow orchestrationAI evaluation, observability, guardrails and LLMOps expertiseAdvanced Python development skillsCloud experience (AWS, Azure or GCP)Experience with OpenAI, Anthropic or similar LLM platformsStrong communication and presentation skillsPrevious training, coaching, mentoring, or technical workshop delivery experience Location: Mostly remote with occasional travel to London Duration: 6 months (Possibility ...

specific APIs. Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging. Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph ...

patterns for junior engineers Requirements Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

EventBridge or Secrets Manager. Big data technologies including DuckDB, pandas, Spark, Databricks or Snowflake. AI/ML technologies including vector databases, semantic search or LLM orchestration frameworks. Continuous delivery and modern development workflows. Data science applications or financial data visualisation. What We Offer The opportunity to work on technically challenging ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Experience AI Orchestration & Development: Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natura #J ...

solution components that can be deployed across multiple client engagements, improving delivery efficiency and consistency. Develop and integrate Generative AI and large language model (LLM) capabilities using platforms such as Azure AI Foundry and Azure OpenAI, ensuring solutions are secure, responsible and aligned to client requirements. Implement and continuously improve ...

development, and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features and agentic workflows. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements ...

Development REST APIs GraphQL AI & Automation Large Language Models (LLMs) GPT, Claude and/or Gemini AI Agents Retrieval-Augmented Generation (RAG) Vector Databases LLM orchestration frameworks Data Databricks PostgreSQL MySQL DevSecOps CI/CD pipelines Secure coding practices Security scanning and dependency management tools Desirable Experience Financial Services experience ...

Development REST APIs GraphQL AI & Automation Large Language Models (LLMs) GPT, Claude and/or Gemini AI Agents Retrieval-Augmented Generation (RAG) Vector Databases LLM orchestration frameworks Data Databricks PostgreSQL MySQL DevSecOps CI/CD pipelines Secure coding practices Security scanning and dependency management tools Desirable Experience Financial Services experience ...

research-led, collaborative, and focused on turning cutting-edge ideas into scalable products. The Role Design and deploy machine learning, deep learning, and LLM-based solutions Build RAG pipelines, agentic AI systems, and model evaluation frameworks Work across the full AI lifecycle from problem definition to deployment Apply both classical ...

processes, methods, and tools Providing architectural support and assurance to DevOps teams, with application of agile practices Ability to work with cutting‐edge AI LLM technologies, producing work in conjunction with models such as Anthropic Claude, whilst experimenting and exploring different methods of co‐working with AI Education and Qualifications ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...