1 to 25 of 66 Permanent LLM Jobs in the South East

are proficient in developing data pipelines for large, complex datasets using Python, SQL, NoSQL, and big data tools, preferably on AWS or Azure. You have hands-on experience with LLM operations and agentic AI tools such as GPT-5, LangChain, and vector databases. You understand MLOps, including deployment, monitoring, and CI/CD pipelines, and can effectively communicate complex technical More ❯

Ensure your agents comply with regulations (GDPR, financial compliance) and guard against bias, hallucinations, and misuse. What You Bring Technical Mastery: Strong skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker More ❯

Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data; LLM/agentic systems, retrieval pipelines, and evaluation/guardrails. Research driven, rigorous and curious; clear scientific writing with a publication mindset. Ability to communicate complex ideas to non-technical audiences More ❯

implement advanced AI solutions spanning traditional machine learning, Generative AI, and Agentic AI paradigms. This includes leading hands-on development of models and RAG pipelines to support enterprise-grade LLM applications. MLOps and LLMOps : Build and maintain scalable MLOps and LLMOps pipelines, enabling automation of model training, testing, deployment, and monitoring. Enable reproducibility, traceability, and performance optimization across all AI … RAG. Strong grasp of prompt engineering techniques, including zero-shot and few-shot prompting strategies with ability to enhance the performance of LLMs and agentic AI systems. Familiarity of LLM model evaluation techniques such as ROUGE, LLM-as-a-Judge and BERT. Deep knowledge of cloud-native AI platforms and tools, particularly Databricks, Azure, AWS, Docker. Awareness of regulatory and … compliance considerations in AI, especially within financial services and other regulated industries. Experience Hands-on experience with leading ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., Hugging Face, LangChain/LangGraph, LlamaIndex). Practical experience implementing CI/CD pipelines using tools like GitHub Actions or Jenkins, and managing MLOps and LLMOps with MosiacAI, MLflow, Sagemaker or similar platforms. More ❯

and retraining pipelines. Exposure to feature stores, registries, and experimentation frameworks. Familiarity with business-driven metrics and experience balancing ML performance with commercial goals. Experience with generative AI and LLM frameworks for fine tuning, evaluation, deployment and serving desirable. About Rightmove Our vision is to give everyone the belief they can make their move. We aim to make moving simpler More ❯

and drive student success. WHAT YOU WILL BE DOING: Design and develop AI-driven systems and tools that enhance the learning experience for students and educators. Build and deploy LLM-based solutions, integrating frameworks such as LangChain, AutoGen, and RAG pipelines. Develop and optimise AI agents capable of reasoning, planning, and automating complex learning or data workflows. Collaborate with cross More ❯

AI Engineer to join their AI unit. The organisation have been building commercially successful Data Science products for years, and are now pushing further into Generative AI with multiple LLM-based projects in production across the company. In this role you will be responsible for building and deploying production level ML models for a breadth of interesting commercial projects. The More ❯

bring experience in both AI development and systems engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research More ❯

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work More ❯

Business, or equivalent experience. 5+ years of professional experience (for senior roles, 7+), ideally in IT support, product operations, or digital assistant environments. Familiarity with Generative AI, NLP, or LLM-based technologies (e.g., ChatGPT, Azure OpenAI). Strong written and verbal communication skills across technical and non-technical audiences. Experience improving support processes and documentation at scale. Analytical mindset and More ❯

models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines and cloud infrastructure (AWS/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive More ❯

systems Ability to mentor, guide, and upskill engineers within the team Familiarity with or eagerness to advance in: Model Context Protocol for managing context and tool interfaces for agents LLM integration patterns including prompt orchestration, multi-agent planning and tool calling Retrieval-Augmented Generation (RAG) for dynamic context injection Model selection/A/B testing/observability What Will More ❯

Champion best practices in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering More ❯

C#/ASP.NET (Core & Framework) and modern JavaScript/TypeScript frameworks, particularly Angular . - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

are willing to pick up Angular, we will consider React or Vue, for example. - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

understanding of cloud architecture. Exposure to UX/UI design and customer-focused development. Collaborative approach with a growth mindset and passion for problem-solving. Familiarity with AI/LLM technologies would be a bonus! The ideal candidate is someone who thrives in start-up environments where ideas move quickly, and impact is immediate. You'll enjoy taking ownership, solving More ❯

data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in More ❯

search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema … landscape and legal-tech/legal-analytics domain to bring relevant innovations into our stack. Skills and Experience Professional experience Demonstrable experience in software engineering, with 2+ years building LLM/AI applications in production. Strong in Python, API design, asynchronous programming, and integration patterns. Proven ability to scale LLMs and other AI models for high-volume, real-world applications … including optimising inference, managing computational resources, and ensuring reliability and maintainability. Programming & ML/LLM Frameworks Strong expertise in Python and relevant ML/LLM libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong in Python, API design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured More ❯

as user stories, change requests, and screen designs. A background as a Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company's culture is freedom and openness which takes a More ❯

future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. More ❯

user of tools for all main SEO research, reporting, and diagnostic use cases (e.g., keyword research, competitor analysis, bot analysis, scraping, auditing, traffic analysis, analytics, etc.) Awareness of emerging LLM/Search landscape and GEO opportunities Detailed understanding of datasets relevant to the SEO ecosystem Basic proficiency in SQL and Python Additional Information Were a community here that cares as More ❯

ll bring creativity and technical expertise to the forefront of our data and technology strategy. This is a hands-on engineering position focused on building and operating production-grade LLM applications on Azure. You’ll work on AI-enabled and augmented intelligence solutions such as retrieval-augmented generation (RAG), agentic workflows, and model integrations with a strong emphasis on reliability … search, entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs (JSON More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that More ❯

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking for curious minds to help us shape the future of AI. … An environment that values learning, creativity, and personal growth over bureaucracy. Perfect For Graduates or junior engineers with a passion for AI/ML looking to break into applied LLM engineering. Researchers or data scientists eager to move from theory to real-world deployment. Builders who want to join an early-stage company where their work genuinely moves the needle. … Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone More ❯