201 to 225 of 2,330 LLM Jobs in the UK

Experience in data science, machine learning, or applied NLP Strong hands-on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM-based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable ...

Enfint ищет опытного backend‐инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга ...

with business stakeholders to understand their needs The following is DESIRABLE, not essential: Experience taking Agentic AI solutions into production AWS AWS Strands Agents, LLM, Pydantic AI, Bedrock, AgentCore, ADK, CrewAI, AutoGen LangChain and LangGraph Finance Role: Lead AI Labs Software Engineer (Programmer Software Engineer Developer Python Amazon Web Services ...

Monitor, Application Insights and Log Analytics. Bicep or ARM templates. AWS or other cloud platform experience. Cybersecurity or security engineering experience. Azure OpenAI/LLM integrations. Private Endpoints and advanced Azure networking. Experience working within regulated or financial services environments. Knowledge of cloud governance, security controls and DevSecOps practices. This ...

LangChain REST APIs Docker What we're looking for Commercial software engineering experience building modern web applications. Hands-on experience with Generative AI or LLM integrations. Strong product mindset with the ability to think about customer experience. Comfortable working across frontend and backend technologies. Someone who enjoys experimenting, iterating ...

proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience ...

proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience ...

standards. AI Systems & Experience Engineering Build and shape AI-native customer experiences driven by intent, contextual generation, retrieval and adaptive orchestration. Work across modern LLM ecosystems including foundation models, retrieval pipelines, vector storage, embeddings, multi-agent systems and AI observability tooling. Design systems that support conversational rendering, dynamic content assembly ...

data orchestration tools (e.g., Prefect, Airflow, dbt). Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production. Exposure to LLM or agentic application patterns and AI service integration. Experience operating services on Kubernetes. Background in forecasting, demand planning, or retail/supply chain domains. ...

multi-cloud or partner-integration scenarios. Knowledge of retail business processes and domain concepts (e.g., inventory, order management, or supply chain). Experience integrating LLM APIs (Azure OpenAI, Anthropic, etc.) into production applications. Prior experience in a small team or startup environment where you wore multiple hats. Familiarity with enterprise ...

system design, concurrency, security, testing, and architecture trade‐offs. Production Python experience is preferred Practical AI evaluation and safety experience: A critical understanding of LLM behaviour and experience building or using evaluation harnesses to measure output quality and reliability Security and governance mindset: Experience with areas such as threat modelling ...

LangChain, LlamaIndex, or similar), including how to evaluate and test multi‐step, autonomous AI behaviour. AEO Literacy: Practical understanding of how answer engines and LLM platforms (ChatGPT, Claude, Gemini, Perplexity) surface, cite, and rank content - and how to audit and improve that visibility. Data Comfort: Comfortable working with data ...

maintainable, and aligned with business objectives**.* Provide deep expertise in **model development, experimentation, optimization, evaluation, and production deployment**.* Establish standard methodologies for **LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**.* Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation … solutions** at scale.* Deep expertise in **LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures**.* Hands-on experience with **LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment**.* Good foundation in **statistics, probability, optimization, experimentation, and applied machine learning**. ...

MLOps pipelines for model versioning, automated retraining, performance monitoring, and drift detection as cloud usage patterns evolve. Experiment with and apply generative AI and LLM capabilities to FinOps workflows — such as natural language interfaces for cost querying, AI‐assisted tagging remediation, or intelligent cost allocation suggestions. Collaborate with FinOps analysts … ecosystem (scikit‐learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/ ...

like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. Agentic AI & Multi-Agent Architecture: Deep expertise designing autonomous and multi-agent systems that reason, plan, and act using tools. Command … with advanced patterns such as GraphRAG and agentic RAG to maximize factual grounding and minimize hallucination in production. LLMOps, Evaluation & Responsible AI: Experience operationalizing LLM and agentic systems at scale—evaluation harnesses and metrics for quality, groundedness, and safety; observability, tracing, and monitoring (e.g., LangSmith, LangFuse); guardrails and red-teaming ...

retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red‐teaming Strong LLM and Generative AI engineering fluency, including prompting strategies, retrieval‐augmented generation, context and memory design, function and tool calling, guardrails, observability, and failure‐mode analysis ...

client-facing consulting work Why Apply? 🌍 Work with globally recognised brands on high-impact AI and analytics projects 🤖 Gain exposure to cutting-edge GenAI, LLM, and customer data initiatives 📈 Accelerate your consulting career within a growing Data & AI practice 🤝 Join a collaborative team that values innovation, learning, and continuous development ...

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 ...

delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration Contribute to technical designs, participate in design reviews ...

delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration Contribute to technical designs, participate in design reviews ...

development, and deployment of AI-integrated solutions for client engagements using modern full-stack technologies. Integrate Azure AI services into production applications and architect LLM-powered features and agentic workflows. Work directly with clients to understand requirements, shape solutions, and translate them into working software. Provide technical leadership across engagements ...

down complex problems, make pragmatic tradeoffs, and ship iteratively, backed by strong communication across product, design, and operations Bonus points for conversational AI or LLM orchestration experience, including speech technologies such as Deepgram, ElevenLabs, Whisper, or OpenAI Realtime Bonus points for working knowledge of cloud telephony or CPaaS platforms such ...

guidanceTranslate technical findings into actionable recommendations for both executive and technical audiencesServe as a subject matter expert on AI and LLM security across the Cato Networks customer baseContribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customersFoster collaboration with our product management, support ...

unable to work at home 100% of the time.**Your Role:*** Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows* Design agentic AI systems incorporating tool ...