1 to 25 of 80 LLM Jobs in the South East

to ask us about the access to work scheme. Desirable Skills Experience using Azure OpenAI and foundational LLMs for Retrieval-Augmented Generation (RAG), including open-source implementations. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure cloud platform services and distributed computing frameworks More ❯

technologies (Docker) Basic understanding of Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Other helpful information: Hybrid Working - At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will be available More ❯

Deep understanding of AI technologies, algorithms, and frameworks . Proficiency in programming languages (Python, R, C/C++, Java) and secure coding practices. Hands-on experience with ML/LLM frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Expertise in DevOps/CI/CD security and cloud-native architectures (containers, Kubernetes, Git). Strong knowledge of AI/ML-specific 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 ❯

solutions that deliver business value. You'll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI More ❯

solutions that deliver business value. You'll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI More ❯

including natural language understanding and multi-turn dialogue flows Track usage and feedback, contributing to continuous improvement, performance tuning, and innovation across automation initiatives Explore and test GenAI and LLM capabilities, enhancing user experience as well as automation Requirements Minimum of 4 years’ experience as an AI Integration Engineer Proven experience with Microsoft Co-pilot Studio and Power Platform such More ❯

Tools: Backend: Spring Boot (web, data, cloud, security), JUnit 5, Mockito, database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with More ❯

Tools:Backend: Spring Boot (web, data, cloud, security), JUnit 5, Mockito, database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms:Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with More ❯

Tools: Backend: Spring Boot (web, data, cloud, security), JUnit 5, Mockito, database integration. AI: LangChain, Retrieval-Augmented Generation (RAG), MCP servers (as consumer and developer), and prompt engineering for LLM optimization. Exposure to popular libraries and frameworks (Apache Commons, Guava, Swagger, TestContainers). Architecture & Platforms: Skilled in designing and deploying distributed systems on cloud hyperscalers (AWS, GCP). Familiarity with 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 ❯

to deliver. The AI Technical Consultant will: · Evaluate business processes and recommend AI opportunities aligned with organizational goals · Collaborate with wider teams to define AI strategy · Build and refine LLM/SLM-based AI solutions · Prompt the engineering side of the business · Design and oversee solution architecture for AI-powered systems · Develop ML models and integrate them into production systems More ❯

to deliver. The AI Technical Consultant will: · Evaluate business processes and recommend AI opportunities aligned with organizational goals· Collaborate with wider teams to define AI strategy· Build and refine LLM/SLM-based AI solutions· Prompt the engineering side of the business · Design and oversee solution architecture for AI-powered systems · Develop ML models and integrate them into production systems More ❯

and CI/CD. Familiarity with secure coding practices and compliance standards. Desirable Skills Background in security engineering (for one of the engineer roles). Experience integrating AI/LLM services into production systems. Knowledge of accessibility standards and government service patterns. More ❯

is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation Skills, Knowledge & Experience Test automation frameworks (e.g., PyTest, Postman, Playwright, k6) LLM behaviour testing, including misuse and injection detection CI/CD integration with Azure DevOps for continuous testing Python/YAML scripting for scenario and agent validation Remote Working Expected to More ❯

translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems More ❯

AWS. Enhance our tech stack, 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 quality, R&D, and model … etc., and version control, e.g., 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, and RAG application architecture a More ❯

Summary We're looking for an innovative AI Solutions Engineer to architect, develop, and deploy intelligent automation systems. The successful candidate will possess deep expertise in prompt optimisation, Large Language Model integration, and strategic business consulting to create meaningful AI-driven solutions. Working alongside business teams, you'll uncover automation possibilities, establish technical requirements, and develop systems that bridge Large More ❯

management & client-side (disintermediation). We are looking for a skilled profile, with experience around or towards: AI - Supply Chain - Product Lifecycle - Data Analytics - CX (AI Driven) Gen AI, LLM’s & AI Frameworks AI - Cross Functional Collaboration Managing Internal & Client-Side change (Work Breakdown Structure) The CAIO will use previous learning and commercial acumen - to achieve the new strategic objectives More ❯

as a full-stack engineer in a fast-paced environment. Hands-on with Next.js, Typescript (React/Node), Tailwind, SQL (Prisma), and Azure . Bonus points for experience with: LLM APIs (OpenAI, Anthropic), Retrieval Augmented Generation pipelines, Python, serverless architecture, or Microsoft Office Add-ins. Strong product mindset and passion for building. You may have tried a startup yourself or More ❯

Clear progression plan Remote/work from home options Clear diversity policy Looking to launch your career in AI and automation? Want to design intelligent workflows and build real-world automations using cutting-edge tools like n8n, Copilot Studio, and More ❯

siloed What They Need 2-3+ years building production-grade data systems in fast-paced environments Solid experience with modern data stack (ELT pipelines, data warehouses, semantic layers, LLM integration) Strong SQL and comfortable with dbt for data transformation Product-minded —you care about outcomes, ask "why", and understand user context Self-directed with a bias for execution—you More ❯

global dominance. The Person: Proven technical leadership experience in a start-up or scale-up ( ideally from Seed to Series A) Hands-on expertise with OpenAI integrations or other LLM-based solutions Technical experience with Node.js, Python, and SQL Experience with API design and development for both internal and external use cases Experience designing and scaling data pipelines and working More ❯

AI Engineer will be responsible for creating and fine-tuning prompts within our clients software platform, as well as developing systems to automate the evaluation of large language model (LLM) outputs. Responsibilities Create and fine-tune prompts within the client's software platform. Develop systems to automate the evaluation of large language model (LLM) outputs. Qualifications What's required of More ❯

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