276 to 300 of 2,436 LLM Jobs in England

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 ...

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 ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

failure prediction systems for hardware or distributed systems. Experience implementing distributed straggler detection or collective‐level performance analysis systems. Experience developing agentic or LLM‐powered reasoning systems for diagnostics or operational intelligence. Background in reliability engineering or SRE practices. Wondering if you’re a good fit? We believe in investing ...

seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data-driven applications in collaboration with Product, Business and Engineering teams. ...

skilled Senior Data Science Consultant with hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial ...

continuously improving performance, reducing latency, and ensuring output consistency. Key Responsibilities Design and implement advanced, dynamic prompts tailored to business-specific use cases. Optimize LLM performance by reducing token consumption, latency, and hallucinations. Integrate prompts into agent-based systems, APIs, and RAG architectures. Develop prompt frameworks and reusable templates ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

proof of concept through to production deployment Designing and developing AI and Machine Learning solutions using Azure and modern AI technologies Building production-ready LLM applications, RAG pipelines and AI agents Working closely with Data Engineering teams to prepare and integrate structured and unstructured data Collaborating with Infrastructure teams ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

make a significant impact by making AI technology both accessible and influential. In This Role, You Will: Innovate and Deploy: Design and deploy advanced LLM models to tackle real‐world problems, particularly in automating complex, manual processes in a range of real‐world verticals. Optimize and Scale: Build scalable data ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

write clean, production-quality code You have experience working with large-scale, unstructured text data and LLMs — including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor You have experience with advanced ...

viewing developers as your primary customers—paired with data-driven decision-making to optimize developer experience and eliminate toil. What will set you apart: LLM Integration Experience: Hands-on experience integrating large language models into production applications or developer workflows, whether via APIs (e.g., OpenAI, Anthropic, AWS Bedrock) or open ...

cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery of LLM, RAG, Agentic AI, Conversational AI, and multi-agent solutions. Lead vendor selection, programme mobilisation, stakeholder management, and delivery governance. Work with executive stakeholders to align ...

AIpowered apps/services Set up CI/CD, monitoring, cost control, and responsible AI guardrails You bring: Proven production generative AI/LLM experience on Azure Handson with Azure AI Foundry/Azure AI Studio and Azure OpenAI Strong Python, API integration, and RAG/vector search skills Familiarity ...

experience working within cross-functional teams. Technology Environment Experience with some of the following would be beneficial: AWS Go Java TypeScript Modern AI/LLM tooling and frameworks AI-assisted development workflows Enterprise-scale cloud platforms ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

Skills and experience we’re looking for : You’ll bring experience in many of these areas : Enterprise AI Delivery: Extensive hands-on experience delivering LLM-powered systems and production AI at scale. Python Mastery: Expert-level Python engineering, writing and reviewing production-quality code for complex multi-agent systems. Agentic ...

pipeline Beneficial Aptitude with CI/CD pipelines (GitLab preferred) and cloud computing, preferably AWS Experience with harness engineering or integrating AI/LLM-based tooling into a workflow or CI/CD pipeline, or with AI-assisted code review, test generation or developer productivity tooling Experience of architectural migration ...

technical reviews, and continuous improvement initiatives. You'll Bring Strong Python development experience. Experience building and supporting production-grade software solutions. Experience developing AI, LLM, automation, or agent-based applications. Knowledge of AI orchestration, workflow automation, and modern integration patterns. Experience working with APIs and enterprise system integrations. Cloud platform ...

also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability Strong communication ...