51 to 75 of 1,182 LLM Jobs in England

with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming ...

Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

make myself available outside of normal working hours to suit your schedule. KEY SKILLS AI Software Engineer/Machine Learning Engineer/LLM Engineer/Python/AWS/Azure/Docker/Kubernetes/Generative AI/NLP/RAG/MLOps/UKSV DV/Outside IR35/ ...

Agile delivery approaches Experience using AI-assisted development tools such as Claude, GitHub Copilot or Cursor Experience building AI-enabled applications or integrating LLM capabilities Understanding of RAG, prompt engineering and agent-based solutions Strong analytical and problem-solving skills Strong stakeholder engagement and communication skills. Why should you apply ...

embedding models. Develop AI agents and multi-agent workflows using frameworks like LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen. Fine-tune, evaluate, and monitor LLM performance for business use cases. Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms. Implement prompt engineering strategies to improve response quality ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise ...

commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing. Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton ...

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 ...

technology architecture, 3–5 years focused on AI/ML architecture in large, complex enterprise environments. Hands‐on command of modern AI stack: LLM APIs and fine‐tuning, vector databases, RAG, embedding pipelines, prompt engineering, and agent orchestration frameworks (LangChain, AutoGen, or equivalents). Practical exposure to agentic AI architecture ...

engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable ...

platforms, self‐service golden paths and platform‐as‐a‐product to abstract away cloud complexity for engineering teams. Practical experience using AI agents/LLM‐based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely. Strong security engineering mindset with hands ...

Prototype and help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with the evolution ...

with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming ...

ability to support technical discussions withboth engineering and business stakeholders. Key Responsibilities Solution Implementation & Delivery Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools inclient environments Implement integrations between AI models, APIs, and enterprise healthcare systems Translate defined solution designs into high-quality, production-ready ...

also contribute to modern data and AI solutions including: Python automation SQL development Data engineering AI-enabled applications Machine Learning platforms Large Language Model integrations Intelligent workflow automation Consulting & Client Engagement This is what makes the role unique. As an Associate Consultant you'll gradually develop the skills required ...

solutions in modern data platforms (Databricks/Snowflake), understanding different business challenges require varied solutions from SLM’s to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use various data architecture design patterns for data ...

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 ...

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. ...

OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the sam e.Models : Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cos t.Interfaces : Tools and Model Context Protocol ...

infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that ...

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 ...

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 ...

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 ...