1 to 25 of 115 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 ...

across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. * Develop and maintain robust data pipelines and model deployment infrastructure. * Implement monitoring, evaluation, and governance processes ...

systems Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal) Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph Experience with MLOps, CI/CD, IaC, and container orchestration ...

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 ...

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 ...

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 ...

translate data labelling methodologies into scalable product functionality.* Design and implement annotation workflows, task allocation systems and evaluation tooling.* Integrate and orchestrate multiple LLM providers and AI APIs.* Own and maintain cloud infrastructure and deployment pipelines.* Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

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 ...

they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work ...

Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Demonstrated research background in AI/ML, particularly in LLM or agentic AI, with either publications, preprints, or patents Excellent programming skills in Python, with experience in research‐oriented code development and version control (git) Experience with ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

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 ...

improvement, optimisation, and scalability. Modernising and containerising Rfam curation pipelines, and implementing human-in-the-loop, AI-assisted agentic curation. Developing and scaling LLM pipelines used in RNAcentral for literature summarisation and curation. Developing scalable workflows for ncRNA annotation in genomes. Documenting data pipelines, processes, and workflows for internal reference ...

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 ...

Tech Stack C#/.NET (incl. .NET 10) Blazor Azure Terraform Microservices architecture PostgreSQL Git & CI/CD (GitHub Actions) AI tooling & automation (Copilot, LLM workflows) Responsibilities Build and maintain internal web applications Work with developers and product owners to deliver new features Contribute to AI-assisted automation and workflow ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction ...

/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 ...

products across multiple global brands. The Project You'll be working on cutting-edge initiatives across: Chatbot and conversational AI development Agentic AI systems LLM-driven product development AI-powered B2B marketing agents Multi-brand AI integrations and workflows This is an opportunity to work on genuinely innovative AI solutions ...

units * Identifying and prioritising high impact use cases that deliver measurable value * Designing and building AI systems, from concept through to production deployment * Developing LLM based applications, including document processing and workflow automation * Establishing standards for AI governance, tooling, and best practice * Working closely with senior stakeholders to align ...

proactive communication — especially when things are uncertain Beneficial (not required): Frontend experience with Svelte and/or jQuery AWS cloud infrastructure OpenAI APIs or LLM-powered application development Browser or email extension development CRM integrations Observability and operational tooling WHAT GOOD LOOKS LIKE HERE Over time, senior engineers at this ...

rollout and adoption Working closely with business stakeholders to understand workflows and identify improvement opportunities Using AI tools such as Microsoft Copilot and other LLM technologies to enhance operational processes Assessing new technologies and determining whether existing platforms can solve the problem effectively Collaborating with technical teams, SMEs and third ...

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 ...

focused engineer who enjoys building real, production-grade systems rather than experimental prototypes? Do you want to work at the cutting edge of LLM-powered products in a fast-moving environment? This could be the role for you! The Role As an AI Engineer, you’ll be responsible for developing ...

execution rather than experimentation for experimentation’s sake. Scope of Role Design, build and deploy AI-powered products and applications Develop production-grade LLM solutions and agentic workflows Build RAG architectures and knowledge retrieval systems Integrate AI applications with internal platforms, tools and business systems Identify opportunities where ...

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 ...