201 to 225 of 2,446 LLM Jobs in England

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/ ...

best practices. Developing cutting-edge Generative AI and Agentic AI solutions, including: Retrieval-Augmented Generation (RAG) Semantic search AI agents and multi-agent workflows LLM orchestration frameworks Working with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools. Deploying AI solutions across cloud platforms … strategies, frameworks and operational best practices. Deep understanding of Generative AI and Agentic AI concepts, including: RAG architectures Embeddings and vector search Evaluation frameworks LLM orchestration Hands-on experience with frameworks such as: LangChain LangGraph LlamaIndex CrewAI Autogen Google ADK Similar modern AI frameworks Experience developing and deploying AI solutions ...

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 ...

practice in AI governance and documentation - model cards, system cards, reproducibility, and responsible‐AI considerations - at an organizational level. Broad familiarity with the modern LLM ecosystem (open and proprietary models, orchestration frameworks, vector stores) and well‐formed views on the tradeoffs. Experience supporting multilingual or localization‐focused products at enterprise ...

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 ...

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 ...

guidance Translate technical findings into actionable recommendations for both executive and technical audiences Serve as a subject matter expert on AI and LLM security across the Cato Networks customer base Contribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customers Foster collaboration with ...

cloud platforms such as AWS, Azure, or GCP; hands‐off deployment experience is beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI‐assisted coding tools such as Claude Code ...

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 ...

scale distributed systems Experience implementing and deploying machine learning systems at scale Experience building load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware ...

large-scale consumer applications Previous experience as a site lead, office lead, or similar multi-team leadership role Background in building infrastructure for LLM training or inference Contributions to open-source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London ...

engineers. Experience with AEC, real estate, BIM, geospatial, or digital twin data Experience integrating ML into practitioner‐facing workflows Familiarity with responsible AI practices LLM or GenAI deployment patterns Power BI or other visualization tools Experience with agentic engineering practices Life at Gensler At Gensler, we are as committed ...

building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply ...

risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

motivated, adaptable, and comfortable diving into challenging, ambiguous projects. If needed capable and willing to obtain Government Security Clearance. Nice to Have AI/LLM integration experience (APIs, RAG, tool calling, agent frameworks, hosted or local inference). Background improving legacy systems through testing, refactoring, and reducing technical debt. Breadth ...

across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute orchestration) into actionable roadmaps. Map demands like multi-tenancy, data privacy, and isolation into platform features. Risk & Dependency Mitigation: Proactively ...

risk work. Responsibilities Technical Direction & Oversight Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

direct, and persuasive across technical and non-technical audiences. Professional fluency in both Spanish and English. Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.* A passion for modern engineering practices, continuous learning and solving complex technical problems.**What We Believe ...