126 to 150 of 2,337 LLM Jobs in England

development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users.* Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability.* Continuously improve model quality through tuning, evaluation, and feedback from production usage.* Evaluate ...

instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security ...

instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security ...

instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration frameworks helps. Networking and security ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience designing, deploying, and operating AI or LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, evaluation, data quality, performance monitoring, and use of cloud AI platforms Familiarity with deploying and operating ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

systems. Experience developing applications that incorporate AI/ML capabilities or intelligent workflows. Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features. Experience working with Data Science or ML teams to productionize AI-driven application features. ...

travel occasionally when required.Technical & Professional SkillsStrong Python expertise, including APIs, asynchronous architectures, data pipelines, and production-grade applications.Hands-on experience with Generative AI and LLM-based solutions, including:Prompt EngineeringStructured Output GenerationAgent OrchestrationAgentic WorkflowsMulti-Step ReasoningStrong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including:EmbeddingsVector DatabasesRetrieval PipelinesChunking, indexing ...

CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling) is a significant plus. #J-18808-Ljbffr ...

solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with prompt design, safety/guardrails, and cost/perf tuning. Nice to have - Highly desirable ...

analysis and machine learning.Experience with cloud platforms and services, preferably Azure, for data science and machine learningExperience with one or more generative AI and LLM frameworks and tools.Experience with machine learning concepts and techniques and Deep Learning.Experience with data visualisation and storytelling tools and techniques.Understanding of ethical considerations and compliance ...

TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CDStrong focus on automated testing, logging ...

technology developments.Take on related responsibilities as the squad's needs evolve.Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents or agentic workflows).Education: BS in Engineering, Computer Science, or equivalent.Ways of working: Comfortable working autonomously within ...

continuous learning, and eager to rethink how clinical trials are designed. We value people who build with depth and intention, not just wrap LLM API calls.What You'll Bring:FoundationPh.D. or equivalent professional experience in a relevant scientific or quantitative field with industrial experience (Bioinformatics, Mathematics, Computer Science, Machine Learning ...

tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology programme Familiarity with CI/CD pipelines, containerisation, and cloud-native deployment practices for production commerce ...

Requirements Required Active SC clearance 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 ...

Requirements Required Active SC clearance 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 ...

Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch). Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills and ability ...

with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions. Key Responsibilities Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI. Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies. ...

evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. ...

science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems and RAG where relevant.You will work closely with product, engineering, content, domain experts, and business stakeholders ...

practice and our model provider partners to continuously improve our delivery playbook.Maintain cutting-edge expertise — Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows Build strong relationships — Develop ...

directly to the director of engineering. What you do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM-powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing ...

multi-agent systems, demonstrating expertise in planning/reasoning engines, memory systems, and agentic protocols like MCP.Deep, Practical Knowledge of LLMs: Demonstrated mastery of LLM fundamentals, Prompt Engineering, and Context Engineering, with a history of applying this knowledge to build sophisticated agentic architectures and design robust APIs for AI services.Deep ...