1 to 25 of 100 LLM Jobs in the South East

Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure ...

systems into production. Key Responsibilities: AI System Development Build and optimise AI models and pipelines Implement RAG, agentic workflows, and advanced reasoning techniques Deploy LLM-driven features into real products Full-Stack & Platform Engineering Develop APIs, backend services, data flows, and integration layers Contribute to UI/UX when needed ...

concept. Key Responsibilities Design and build production-ready AI solutions , with a strong focus on reliability and scalability Develop and deploy GenAI/LLM-based applications (e.g. copilots, internal tools, automation) Build and maintain AI services, APIs and integrations with existing platforms Implement data pipelines, embeddings, vector search and retrieval ...

vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability to create chains, prompts, and agents. Desirable Skills/Knowledge/Experience Experience with data ingestion, indexing, and querying. Working with unstructured ...

. Experience designing cloud-native and/or on-prem data solutions . Exposure to automation and AI-enabled data processes , with awareness of LLM use cases within data workflows. Experience working in Agile delivery environments (Scrum, Kanban, DevOps). Strong analytical and problem-solving skills, with the ability ...

delivery, solution design, and client-facing impact. What You’ll Work On Designing and implementing Agentic AI architectures for enterprise workflows. Building and deploying LLM-powered solutions, including Q&A systems, RAG pipelines, and autonomous agents. Developing custom copilots, plugins, and declarative agents using Microsoft Copilot Studio and Azure ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Inside IR35 ...

expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

predicting user engagement, building AI-based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical ...

scale. It is already a mature, revenue-generating platform, but is now entering a significant growth phase as search evolves beyond traditional engines into LLM-driven experiences. AI and automation are embedded into both the product and the way engineering teams operate, creating a genuinely forward-thinking environment. ...

with considerable in-depth knowledge in implementing solutions using AWS. Practical cloud-native experience, specifically with AWS. Experience with RAG-based semantic search and LLM inference workflows using OpenAI and Claude models. ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

Experience * Strong programming expertise with Python.* Hands on experience working with Large Language Models (LLMs).* Experience with cloud services - AWS preffered* Knowledge of LLM evaluation, testing and prompt optimisation.* Excellent communication skills with the ability to influence stakeholders and work effectively in cross functional teams.* Experience mentoring and developing ...

Getting hands-on with design decisions, code reviews and best practices. Working closely with product and design to turn ideas into real solutions. Evaluating LLM performance, tuning prompts and improving model safety. Helping shape the company's GenAI and agentic AI strategy. Benefits Salary up to £110,000 Hybrid working ...

facing products and internal platforms Establish best practices for experimentation, model governance, performance measurement and ethical AI use Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment with Chambers standards Provide strategic leadership and oversight for Business Intelligence capabilities, including tool implementation ...

security, deployment patterns, and the safe operationalization of foundation models. AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows. Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls. Key Responsibilities Innovative ...

compute, storage, networking, IAM, KMS, observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated ...

onsite once per month ) Start: ASAP What you’ll work on Building Agentic AI workflows and automation Designing RAG pipelines for insurance data Developing LLM-powered tools using Python , LangChain , LlamaIndex , and vector databases Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral) Collaborating with Data Science & Engineering ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

modern TypeScript-based applications Understanding of semantic/graph data (e.g., RDF triples, SPARQL , Amazon Neptune ) Ability to validate AI-supported features, including LLM/RAG behaviours via Amazon Bedrock Knowledge of performance testing for serverless architectures and WCAG 2.2 AA accessibility Familiarity with GDS Standards and testing ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

business experimenting at the edges. The company is already well ahead of the curve, building new products at the intersection of search intelligence and LLM-driven platforms such as ChatGPT and Gemini. Engineering is genuinely modern AI is embedded into both product and development workflows, with around 70% of code ...

including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code … Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks ...